{"title":"AI PCs","description":"\u003cp\u003eAI desktops and workstations for local training and inference: NVIDIA DGX Spark and other GB10 systems, Ryzen AI Max+ machines with 128GB of unified memory, and compact AI business desktops.\u003c\/p\u003e","products":[{"product_id":"beelink-sei14-ai-intel-core-ultra-9-185h","title":"Beelink SEi14 AI Intel® Core™ Ultra 9 185H","description":"\u003cp\u003eThe Beelink SEi14 AI is a mini PC built to run local AI models on your own hardware. It combines the Intel® Core™ Ultra 9 185H with up to 160 TOPS of dedicated NPU inference performance, 24GB of AI-specific memory, and OpenClaw pre-installed on Ubuntu. It suits developers, researchers and privacy-conscious professionals who want to run LLMs and AI workloads locally instead of paying per token to a cloud API.\u003c\/p\u003e\u003ch2\u003eWho it's for\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eDevelopers building local-first AI tools\u003c\/li\u003e\n\u003cli\u003eResearchers who need to keep sensitive data off third-party servers\u003c\/li\u003e\n\u003cli\u003eAnyone tired of a rising API usage bill who wants to work offline or air-gapped\u003c\/li\u003e\n\u003cli\u003eUsers who want a fast everyday computer that doubles as a dedicated AI box\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eKey features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntel® Core™ Ultra 9 185H processor:\u003c\/strong\u003e 16 cores and 22 threads boosting up to 5.1GHz with 24MB of Intel Smart Cache, for everyday computing, compiling and multitasking.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUp to 160 TOPS dedicated AI acceleration:\u003c\/strong\u003e A built-in NPU runs supported AI models directly on the device rather than relying on cloud compute.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e24GB dedicated AI memory:\u003c\/strong\u003e Separate from system RAM, this pool is for loading and running local AI models, so inference does not compete with your operating system and applications.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntel® Arc™ Graphics (8 Xe-Cores):\u003c\/strong\u003e An integrated GPU clocked at 2.35GHz, useful for GPU-accelerated AI tasks, media encoding and light creative work alongside the NPU.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e32GB DDR5 system memory, expandable to 96GB:\u003c\/strong\u003e Dual-channel DDR5 5600MHz keeps everyday applications responsive independent of your AI workload, with room to expand to 96GB.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOpenClaw pre-installed on Ubuntu:\u003c\/strong\u003e The software environment for supported local AI workflows is configured out of the box, so you can start with local models and agent frameworks without building the stack yourself.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMSC 2.0 cooling with vapor chamber:\u003c\/strong\u003e A vapor chamber, silent fan and SSD heatsink are built to sustain performance during extended AI inference sessions.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eSpec\u003c\/th\u003e\n\u003cth\u003eDetail\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eProcessor\u003c\/td\u003e\n\u003ctd\u003eIntel® Core™ Ultra 9 185H, 16 cores \/ 22 threads, up to 5.1GHz, 24MB Smart Cache\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGraphics\u003c\/td\u003e\n\u003ctd\u003eIntel® Arc™ Graphics, 8 Xe-Cores @ 2.35GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI acceleration\u003c\/td\u003e\n\u003ctd\u003eUp to 160 TOPS NPU inference performance with 24GB dedicated AI memory\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSystem memory\u003c\/td\u003e\n\u003ctd\u003e32GB DDR5 5600MHz dual-channel SO-DIMM, expandable to 96GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003eSingle M.2 2280 PCIe 4.0 x4 slot, up to 4TB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNetworking\u003c\/td\u003e\n\u003ctd\u003eWi-Fi 6 (Intel AX200), Bluetooth 5.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePorts\u003c\/td\u003e\n\u003ctd\u003eDisplayPort 1.4a, HDMI, Thunderbolt 4 (40Gbps\/PD\/DP1.4), plus USB Type-C data port\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating system\u003c\/td\u003e\n\u003ctd\u003eUbuntu with OpenClaw pre-installed\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCooling\u003c\/td\u003e\n\u003ctd\u003eMSC 2.0 system: vapor chamber, silent fan, SSD heatsink\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower supply\u003c\/td\u003e\n\u003ctd\u003eExternal adapter, 19V \/ 6.32A output\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e135 x 135 x 44.7mm (excluding foot pads)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eGood to know\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003ePre-installing OpenClaw on Ubuntu covers the drivers, runtimes, dependencies and frameworks that are often the biggest barrier to getting a local AI environment working.\u003c\/li\u003e\n\u003cli\u003eLocal inference runs on supported AI models.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eChoose the SEi14 AI when local AI is the main job and you want the Core Ultra 9 185H, 160 TOPS and 24GB of dedicated AI memory with the software already set up. It is also a fast general-purpose computer when you are not running inference.\u003c\/p\u003e","brand":"Beelink","offers":[{"title":"Default Title","offer_id":58232530043262,"sku":"BL-SEI14-185H-EU-32GB-24GB-1TB-UBUNTU","price":2059.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1022\/4468\/0062\/files\/6_4f36c698-2fbc-4ec6-b926-04e08d58d2b5.png?v=1792093950"},{"product_id":"beelink-sei13-ai-intel-core-i7-13620h","title":"Beelink SEi13 AI Intel® Core™ i7-13620H","description":"\u003cp\u003eThe Beelink SEi13 AI pairs the Intel® Core™ i7-13620H with up to 160 TOPS of NPU inference performance and 24GB of dedicated AI memory. OpenClaw comes pre-installed on Ubuntu. It is an entry point into running local AI models for developers and hobbyists, built around a 13th Gen chip rather than a Core Ultra processor.\u003c\/p\u003e\u003ch2\u003eWho it's for\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eHobbyists getting started with local LLMs\u003c\/li\u003e\n\u003cli\u003eStudents learning AI\/ML tooling on a machine with the software side already set up\u003c\/li\u003e\n\u003cli\u003eDevelopers who want a dedicated always-on box for testing and running smaller local models\u003c\/li\u003e\n\u003cli\u003eMulti-monitor users who want triple 4K display output on a compact desktop\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eKey features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntel® Core™ i7-13620H processor:\u003c\/strong\u003e 10 cores and 16 threads, boosting up to 4.9GHz with 24MB of Intel Smart Cache, for everyday computing, compiling and multitasking.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUp to 160 TOPS AI acceleration:\u003c\/strong\u003e Dedicated NPU inference performance runs supported local AI models on the device, keeping data private and avoiding ongoing cloud API costs.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e24GB dedicated AI memory:\u003c\/strong\u003e A separate memory pool is used for loading and running AI models, so inference runs independently of your day-to-day system memory and applications.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntel® UHD Graphics (64 EUs):\u003c\/strong\u003e Integrated graphics clocked up to 1.50GHz support triple 4K display output.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e32GB LPDDR5 system memory:\u003c\/strong\u003e Dual-channel LPDDR5 keeps everyday applications and background tasks responsive alongside your AI workloads.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOpenClaw pre-installed on Ubuntu:\u003c\/strong\u003e The local AI development environment is already configured, so you can run your first model without building the stack.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMSC 2.0 cooling with vapor chamber:\u003c\/strong\u003e A vapor chamber, silent fan and SSD heatsink keep thermals in check during longer inference sessions.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eThunderbolt 4 connectivity:\u003c\/strong\u003e Thunderbolt 4 supports high-speed external storage, docking stations and additional monitors, alongside Wi-Fi 6 and Bluetooth 5.2.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eSpec\u003c\/th\u003e\n\u003cth\u003eDetail\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eProcessor\u003c\/td\u003e\n\u003ctd\u003eIntel® Core™ i7-13620H, 10 cores \/ 16 threads, up to 4.9GHz, 24MB Smart Cache\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGraphics\u003c\/td\u003e\n\u003ctd\u003eIntel® UHD Graphics, 64 EUs, up to 1.50GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI acceleration\u003c\/td\u003e\n\u003ctd\u003eUp to 160 TOPS NPU inference performance with 24GB dedicated AI memory\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSystem memory\u003c\/td\u003e\n\u003ctd\u003e32GB LPDDR5 dual-channel\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003eSingle M.2 2280 PCIe 4.0 x4 slot, up to 4TB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNetworking\u003c\/td\u003e\n\u003ctd\u003eWi-Fi 6 (Intel AX200), Bluetooth 5.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePorts\u003c\/td\u003e\n\u003ctd\u003eDisplayPort 1.4a, HDMI, Thunderbolt 4 (40Gbps\/PD\/DP1.4), triple display support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating system\u003c\/td\u003e\n\u003ctd\u003eUbuntu with OpenClaw pre-installed\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCooling\u003c\/td\u003e\n\u003ctd\u003eMSC 2.0 system: vapor chamber, silent fan, SSD heatsink\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower supply\u003c\/td\u003e\n\u003ctd\u003eExternal adapter, 19V \/ 6.32A output\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e135 x 135 x 44.7mm (excluding foot pads)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eGood to know\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eIt follows the same approach as Beelink's SE AI series: dedicated NPU acceleration, its own AI memory pool and OpenClaw pre-installed.\u003c\/li\u003e\n\u003cli\u003eThe processor is a Core i7-13620H, not a Core Ultra chip.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eChoose the SEi13 AI if you want real NPU-backed inference and a dedicated AI memory allocation on a Core i7 rather than a Core Ultra chip. Step up to the SEi14 AI if you want the Core Ultra 9 185H.\u003c\/p\u003e","brand":"Beelink","offers":[{"title":"Default Title","offer_id":58232530076030,"sku":"BL-SEI13-13620H-EU-32GB-24GB-1TB-UBUNTU","price":1739.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1022\/4468\/0062\/files\/6-1_5cb1c2fb-4938-43b8-8562-9821c7f98019.png?v=1792093953"},{"product_id":"msi-edgexpert-ms-c931-8211-ai-supercomputer-based-on-nvidia-dgx-spark-platform-for-deep-learning","title":"MSI EdgeXpert MS-C931 – AI Supercomputer Based on NVIDIA DGX Spark Platform for Deep Learning","description":"\u003cp\u003eThe MSI EdgeXpert MS-C931 is a desktop-class AI supercomputer built on the NVIDIA DGX Spark platform. It suits developers, researchers and data scientists who want data-center-grade AI capability on their own desk instead of metered by the hour in the cloud. It pairs the NVIDIA GB10 Grace Blackwell Superchip with 128GB of unified memory in a 1.19-litre chassis, and MSI adds a curated software ecosystem.\u003c\/p\u003e\u003ch2\u003eWho it's for\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eDevelopers and researchers fine-tuning, quantizing and serving models up to roughly 200B parameters\u003c\/li\u003e\n\u003cli\u003eTeams building legal AI, machine vision, offline voice translation or agentic AI products with the bundled software\u003c\/li\u003e\n\u003cli\u003eTeams with data-residency or IP concerns keeping datasets and model weights on-premises\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eKey features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA GB10 Grace Blackwell Superchip:\u003c\/strong\u003e a 20-core Arm CPU (10x Cortex-X925 + 10x Cortex-A725) fused to a Blackwell-architecture GPU over NVIDIA NVLink-C2C, delivering 1000 AI TOPS \/ 1 petaFLOP of FP4 (sparse) performance.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e128GB unified LPDDR5x memory at 273GB\/s:\u003c\/strong\u003e a single coherent 256-bit memory pool shared between CPU and GPU, holding models up to roughly 200B parameters (and up to 405B across two stacked units via ConnectX-7).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e1TB or 4TB self-encrypting NVMe SSD:\u003c\/strong\u003e hardware self-encryption at either tier.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA ConnectX-7 Smart NIC (200Gbps):\u003c\/strong\u003e data-center-class networking for clustering two units, plus 10GbE, Wi-Fi 7 and Bluetooth 5.4.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA DGX OS pre-installed:\u003c\/strong\u003e the full NVIDIA AI stack ships ready to run, and work is container-portable to other DGX Spark-class systems or DGX Cloud.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCurated third-party AI software:\u003c\/strong\u003e MSI ships access to AIPLUX Legal AI Suite, Memorence Operagents (machine vision and operational AI), Ubestream offline voice translation and Galene.AI Elettra’s agentic AI platform.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCompact and quiet:\u003c\/strong\u003e a 151 x 151 x 52mm, 1.2kg chassis with smart fan control, 4x USB 3.2 Type-C, HDMI 2.1a and 3x DisplayPort 1.4a.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEnterprise reliability:\u003c\/strong\u003e TPM onboard, a 0–35°C operating temperature range, and FCC\/CE\/UKCA\/VCCI\/BSMI certification.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eSpec\u003c\/th\u003e\n\u003cth\u003eDetail\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel Number\u003c\/td\u003e\n\u003ctd\u003eEdgeXpert MS-C931\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eArchitecture\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Grace Blackwell GB10 Superchip\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e20-core Arm (10x Cortex-X925 + 10x Cortex-A725)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU-GPU Interconnect\u003c\/td\u003e\n\u003ctd\u003eNVIDIA NVLink-C2C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTensor Performance\u003c\/td\u003e\n\u003ctd\u003e1 petaFLOP (1000 AI TOPS), FP4, Sparse\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSystem Memory\u003c\/td\u003e\n\u003ctd\u003e128GB LPDDR5x coherent unified system memory\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory Interface \/ Bandwidth\u003c\/td\u003e\n\u003ctd\u003e256-bit \/ 273GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e1TB or 4TB NVMe M.2 SSD with self-encryption\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e4x USB 3.2 Type-C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEthernet\u003c\/td\u003e\n\u003ctd\u003e1x RJ-45 (10GbE)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNetwork Interface Card\u003c\/td\u003e\n\u003ctd\u003eNVIDIA ConnectX-7 Smart NIC (200Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay Connectors\u003c\/td\u003e\n\u003ctd\u003e1x HDMI 2.1a; 3x DisplayPort 1.4a via USB-C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Encode\/Decode\u003c\/td\u003e\n\u003ctd\u003e1x NVENC \/ 1x NVDEC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTPM \/ Smart Fan Control\u003c\/td\u003e\n\u003ctd\u003eYes \/ Yes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating System\u003c\/td\u003e\n\u003ctd\u003eNVIDIA DGX OS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMax Model Size\u003c\/td\u003e\n\u003ctd\u003eUp to 200B parameters (405B via dual-unit ConnectX stacking)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e151 x 151 x 52mm (1.19L)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003e1.2kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating Temperature \/ Humidity\u003c\/td\u003e\n\u003ctd\u003e0–35°C \/ 10–90% non-condensing\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage Temperature \/ Humidity\u003c\/td\u003e\n\u003ctd\u003e0–60°C \/ 10–90% non-condensing\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Supply\u003c\/td\u003e\n\u003ctd\u003e~240W via USB-C with external adapter\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCertifications\u003c\/td\u003e\n\u003ctd\u003eFCC Class B, CE, UKCA, VCCI, BSMI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBundled AI Software\u003c\/td\u003e\n\u003ctd\u003eAIPLUX Legal AI Suite, Memorence Operagents, Ubestream Voice Translation, Galene.AI Elettra\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIn the Box\u003c\/td\u003e\n\u003ctd\u003eEdgeXpert MS-C931 system, external ~240W USB-C power adapter, power cord, quick start guide\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eGood to know\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eThe 1 petaFLOP \/ 1000 TOPS figure is a peak FP4-sparse number. Real dense-precision throughput on a given model will be lower.\u003c\/li\u003e\n\u003cli\u003eTraining a foundation model from scratch is still cluster or cloud territory. This machine is built for fine-tuning, quantization, inference serving and applied-AI development.\u003c\/li\u003e\n\u003cli\u003eA 70B model in FP4\/INT4 quantization, or a 30B model at higher precision with a long context window, runs without memory workarounds.\u003c\/li\u003e\n\u003cli\u003eChoose 1TB for a handful of active checkpoints and datasets, or 4TB for multiple quantized variants, larger training corpora or a growing library of fine-tuned checkpoints.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003ePick the MS-C931 over a bare DGX Spark unit if the bundled software overlaps with what you are building.\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"4 TB","offer_id":58232536269182,"sku":"MSI-EDGEXPERT-MSC932","price":6499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1022\/4468\/0062\/files\/product_175686100704b1a75fc1f20b2de1b0354880526c9a_f33d2699-cf99-4e2c-97ab-a8f795e8b410.webp?v=1792094004"},{"product_id":"lenovo-thinkstation-pgx-gb10-1t-linux-workstation-30kl0002us","title":"Lenovo ThinkStation PGX GB10 1T LINUX Workstation (30KL0002US)","description":"\u003cp\u003eThe Lenovo ThinkStation PGX is Lenovo’s first workstation built around the NVIDIA GB10 Grace Blackwell Superchip. It gives ML engineers, researchers and applied-AI teams data-center-class model development power on their own desk, backed by Lenovo’s workstation-grade build and enterprise support. If you rent cloud GPU instances just to fine-tune or evaluate open-weight models, it moves that work into a 1.13-litre box beside your keyboard.\u003c\/p\u003e\u003ch2\u003eWho it's for\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eML engineers running LoRA\/QLoRA fine-tunes and evaluation harness runs on hardware they own\u003c\/li\u003e\n\u003cli\u003eApplied-AI teams prototyping RAG pipelines, agentic workflows, and computer-vision or multimodal models\u003c\/li\u003e\n\u003cli\u003eOrganizations handling data that cannot leave the premises\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eKey features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA GB10 Grace Blackwell Superchip:\u003c\/strong\u003e a 20-core Arm CPU (10x Cortex-X925 performance cores + 10x Cortex-A725 efficiency cores) coupled to a Blackwell-architecture GPU with 5th Gen Tensor Cores and 4th Gen RT Cores over NVLink-C2C, rated for 1000 TOPS \/ 1 petaFLOP of FP4 AI performance with sparsity.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e128GB unified LPDDR5x-8533 memory at 273GB\/s:\u003c\/strong\u003e CPU and GPU share one coherent pool with no PCIe copy penalty, holding models up to roughly 200 billion parameters on a single unit without offloading to disk or splitting across GPUs.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDual 200Gb\/s QSFP ports (NVIDIA ConnectX-7):\u003c\/strong\u003e link two PGX units to scale past a single unit’s memory ceiling.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSelf-encrypting NVMe storage:\u003c\/strong\u003e 1TB, 2TB or 4TB PCIe Gen4 TLC Opal SSD options, so you can size local storage to your dataset and checkpoint volume.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA DGX OS with the full AI stack pre-installed:\u003c\/strong\u003e CUDA 13, the complete NVIDIA AI software stack, the GB10 Dashboard and NVIDIA AI Workbench, using the same container stack as DGX systems, so a workload moves to a cluster or DGX Cloud unchanged.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEnterprise-grade connectivity:\u003c\/strong\u003e 10 Gigabit Ethernet, Wi-Fi 7, Bluetooth 5.3, three USB4 ports carrying DisplayPort 2.1, and HDMI 2.1a.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e1.13-litre chassis, from 1.2kg:\u003c\/strong\u003e 150 x 150 x 50.5mm, on a single 240W USB-C adapter.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWorkstation-grade security:\u003c\/strong\u003e AES SED NVMe, TPM 2.0, UEFI Secure Boot, an NVLink-C2C hardware enclave and NVIDIA Firmware Recovery.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eSpec\u003c\/th\u003e\n\u003cth\u003eDetail\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ePart Number (MTM)\u003c\/td\u003e\n\u003ctd\u003e30KL0002US\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel\u003c\/td\u003e\n\u003ctd\u003eThinkStation PGX GB10 1T LINUX\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSuperchip\u003c\/td\u003e\n\u003ctd\u003eNVIDIA GB10 Grace Blackwell Superchip\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Grace 20-core Arm CPU (10x Cortex-X925 + 10x Cortex-A725)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Blackwell architecture GPU with CUDA Cores, 5th Gen Tensor Cores, 4th Gen RT Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Performance\u003c\/td\u003e\n\u003ctd\u003e1000 TOPS \/ 1 petaFLOP (FP4, with sparsity)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e128GB LPDDR5x-8533MT\/s unified system memory, 273GB\/s bandwidth\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e1TB \/ 2TB \/ 4TB SSD M.2 2242 PCIe Gen4 TLC Opal (self-encrypting)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating System\u003c\/td\u003e\n\u003ctd\u003eNVIDIA DGX OS (Ubuntu Linux Pro base)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePre-installed Software\u003c\/td\u003e\n\u003ctd\u003eNVIDIA AI Software Stack, CUDA 13, GB10 Dashboard, NVIDIA AI Workbench\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMax Model Size\u003c\/td\u003e\n\u003ctd\u003eUp to 200B parameters (single unit)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRear I\/O\u003c\/td\u003e\n\u003ctd\u003e1x USB-C power in (PD 3.1); 3x USB-C USB4 (20Gb\/s) with DisplayPort 2.1; 1x HDMI 2.1a with multichannel audio; 1x RJ-45 10GbE; 2x QSFP (NVIDIA ConnectX-7, 200Gb\/s)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWireless\u003c\/td\u003e\n\u003ctd\u003eWi-Fi 7 (802.11be) + Bluetooth 5.3 LE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Supply\u003c\/td\u003e\n\u003ctd\u003e240W USB-C power adapter\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eForm Factor\u003c\/td\u003e\n\u003ctd\u003eSmall form factor desktop, 1.13 litre, 150 x 150 x 50.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003eFrom 1.2kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSecurity\u003c\/td\u003e\n\u003ctd\u003eSelf-encrypting NVMe (AES SED), TPM 2.0, NVLink-C2C enclave, NVIDIA Firmware Recovery, AMI setup password, UEFI Secure Boot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty\u003c\/td\u003e\n\u003ctd\u003e1-year limited onsite service\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSustainability\u003c\/td\u003e\n\u003ctd\u003ePackaging with 90% recycled and\/or FSC-certified content; RoHS compliant\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eGood to know\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eThe 1 petaFLOP figure is a peak FP4-with-sparsity number. Real dense-precision throughput on a given model will be lower.\u003c\/li\u003e\n\u003cli\u003eThis is a fine-tuning, inference and prototyping machine, not a foundation-model training rig. Pre-training multi-billion-parameter models from random initialization belongs on a cluster.\u003c\/li\u003e\n\u003cli\u003eA 70B-parameter model in FP4\/INT4 quantization, or a 30B model at higher precision with generous context length, loads and runs without memory juggling.\u003c\/li\u003e\n\u003cli\u003ePick 1TB, 2TB or 4TB by how many checkpoints, quantized variants and datasets you keep local.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eChoose the ThinkStation PGX if you want Lenovo’s 1-year limited onsite service and a choice of 1TB, 2TB or 4TB storage.\u003c\/p\u003e","brand":"Lenovo","offers":[{"title":"1TB SSD","offer_id":58232537284990,"sku":"30KL0002US","price":5849.0,"currency_code":"USD","in_stock":true},{"title":"2TB SSD","offer_id":58232537317758,"sku":"30KL000EUS","price":6749.0,"currency_code":"USD","in_stock":true},{"title":"4TB SSD","offer_id":58232537350526,"sku":"30KL000BUS","price":7879.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1022\/4468\/0062\/files\/27515107407_ThinkStationPGX_Front_202507310437231759166660807_179aba0a-4a17-48a0-8817-845619962d3d.png?v=1792094025"},{"product_id":"asus-pe1100n-edge-ai-system-nvidia-jetson-orin-nx-orin-nano","title":"ASUS PE1100N Edge AI System — NVIDIA Jetson Orin NX\/Orin Nano","description":"\u003cp\u003eThe ASUS PE1100N is a fanless, ultra-compact edge AI computer built on the NVIDIA Jetson Orin platform. It is engineered for embedded and robotics engineers who need to deploy computer-vision and inferencing workloads into vehicles, kiosks, production lines and outdoor infrastructure rather than a data-center rack.\u003c\/p\u003e\u003ch2\u003eWho it's for\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eTraffic and vehicle analysis, people-counting, license-plate recognition and surveillance\u003c\/li\u003e\n\u003cli\u003eAutomated guided vehicles (AGVs) and autonomous mobile robots (AMRs)\u003c\/li\u003e\n\u003cli\u003eAutomated optical inspection (AOI) on production lines\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eKey features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA Jetson Orin module, configurable to your workload:\u003c\/strong\u003e Orin Nano 4GB, Orin Nano 8GB, Orin NX 8GB or Orin NX 16GB, all with Arm Cortex-A78AE cores and an Ampere GPU (core counts in the table below).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUp to 100 TOPS of AI inferencing:\u003c\/strong\u003e the Orin NX 16GB in Super Mode reaches roughly 100 TOPS, with the other variants scaling down, inside a 10–25W power envelope and up to 18x better performance-per-watt than a comparable x86 platform.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFanless, MIL-STD-810H-tested chassis:\u003c\/strong\u003e a 152 x 114 x 72mm extruded-aluminium enclosure weighing 1.4kg, shock- and vibration-tested to MIL-STD-810H Method 514.8\/516.8.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIndustrial I\/O:\u003c\/strong\u003e 2x Gigabit Ethernet, 3x USB 3.2 Gen1 Type-A, 2x RS-232\/422\/485 serial (DB9), 1x CAN bus (DB9) and an isolated 4x DI \/ 4x DO terminal block for sensors, PLCs and actuators.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModular expansion via M.2:\u003c\/strong\u003e an M-key slot for NVMe storage (128GB\/256GB\/512GB options), an E-key slot for Wi-Fi\/Bluetooth, and a B-key slot with dual nano-SIM for 4G\/5G cellular.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWide-range power and temperature tolerance:\u003c\/strong\u003e runs from 12–24V DC (3-pin terminal block, with an optional 65W AC adapter for bench use) across a –20°C to 50°C operating range.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAWS IoT Greengrass certified:\u003c\/strong\u003e validated for cloud-connected edge AI deployments.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTPM 2.0 and hardware watchdog:\u003c\/strong\u003e onboard security and automatic recovery from software hangs for unattended field deployments.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eSpec\u003c\/th\u003e\n\u003cth\u003eDetail\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eCompute Module\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Jetson Orin Nano 4GB \/ Orin Nano 8GB \/ Orin NX 8GB \/ Orin NX 16GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e6-core Arm Cortex-A78AE (Orin Nano) or 8-core Arm Cortex-A78AE (Orin NX)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003e512-core NVIDIA Ampere with 16 Tensor Cores (Nano 4GB) or 1024-core Ampere with 32 Tensor Cores (Nano 8GB \/ NX 8GB \/ NX 16GB)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eModule Memory\u003c\/td\u003e\n\u003ctd\u003e4GB, 8GB or 16GB LPDDR5 (64-bit or 128-bit, module-dependent)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Performance\u003c\/td\u003e\n\u003ctd\u003eUp to 100 TOPS (Orin NX 16GB, Super Mode)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003eM.2 2280 M-key NVMe SSD, 128GB \/ 256GB \/ 512GB options\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay\u003c\/td\u003e\n\u003ctd\u003e1x HDMI (1.4a, 4K30 on Orin Nano SKUs; 2.0b, 4K60 on Orin NX SKUs)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNetworking\u003c\/td\u003e\n\u003ctd\u003e2x Gigabit Ethernet (RJ-45), M.2 E-key 2230 for Wi-Fi\/Bluetooth, M.2 B-key 3042\/3052 for 4G\/5G with dual nano-SIM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e3x USB 3.2 Gen1 Type-A, 1x USB 2.0 Micro-USB (OS flash\/debug), 2x USB 2.0 internal header\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSerial and Fieldbus\u003c\/td\u003e\n\u003ctd\u003e2x RS-232\/422\/485 (DB9), 1x CAN bus (DB9)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDigital I\/O\u003c\/td\u003e\n\u003ctd\u003e4x isolated DI + 4x isolated DO (terminal block)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSecurity\u003c\/td\u003e\n\u003ctd\u003eTPM 2.0, hardware watchdog timer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Input\u003c\/td\u003e\n\u003ctd\u003e12–24V DC, 3-pin terminal block; 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AWS IoT Greengrass Qualified Device\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eGood to know\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eThis is an inferencing and computer-vision deployment platform, not a training rig. You develop and fine-tune models elsewhere and deploy the optimized model to the PE1100N.\u003c\/li\u003e\n\u003cli\u003eEvery module runs the same NVIDIA JetPack\/L4T-based Ubuntu environment used across the Jetson family, with NVIDIA Isaac ROS and ROS2 support, so work from a Jetson dev kit or a larger Jetson AGX system carries over.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eChoose the PE1100N when the hardware has to survive vehicle vibration and unheated cabinets, and pick the module that matches your model.\u003c\/p\u003e","brand":"ASUS","offers":[{"title":"Default Title","offer_id":58232537383294,"sku":"90AE0191-M00340","price":1577.19,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1022\/4468\/0062\/files\/asus-pe1100n.png?v=1792094027"},{"product_id":"avermedia-d133onb-industrial-box-pc-nvidia-jetson-orin-nx-orin-nano","title":"AVerMedia D133ONB Industrial Box PC — NVIDIA Jetson Orin NX\/Orin Nano","description":"\u003cp\u003eThe AVerMedia D133ONB is an ultra-compact industrial box PC built around NVIDIA Jetson Orin Nano and Orin NX modules. It is designed for engineers who need to take a computer-vision or edge AI application from prototype to field deployment in a footprint where a full-size industrial PC will not fit. If your project needs dual-camera capture and real-time inferencing in a space smaller than a lunchbox, this is built for it.\u003c\/p\u003e\u003ch2\u003eWho it's for\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eStereo vision and dual-angle camera projects that need two native camera inputs without an external capture card\u003c\/li\u003e\n\u003cli\u003eSmart retail, smart camera and smart city deployments, where an open dev-kit board is a liability\u003c\/li\u003e\n\u003cli\u003eMachine-vision, AIoT and robotics teams moving from a Jetson developer kit to field-hardened hardware\u003c\/li\u003e\n\u003cli\u003eCabinets, kiosks and outdoor enclosures that see real temperature swings\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eKey features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA Jetson Orin Nano or Orin NX module:\u003c\/strong\u003e the D133ONB ships with an Orin Nano 8GB module, while the closely related D133OXB variant offers Orin NX 8GB or 16GB for higher throughput. Both are ready for computer-vision and edge AI inferencing, with no separate carrier-board integration required.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePocket-sized chassis:\u003c\/strong\u003e 93 x 81.2 x 81.9mm, for deployments where every centimeter of cabinet or enclosure space is already spoken for.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDual MIPI camera inputs:\u003c\/strong\u003e 2x 4-lane MIPI CSI-2 connectors (22-pin FPC, 0.5mm pitch) for stereo vision, dual-angle coverage or independent camera feeds without an external capture card.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e256GB NVMe SSD included:\u003c\/strong\u003e a pre-installed M.2 Key M 2280 NVMe drive ships standard, so there is no separate storage purchase before you can start deploying.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDisplay and networking built in:\u003c\/strong\u003e HDMI output at up to 4K30 (Orin Nano) or 4K60 (Orin NX), 1x Gigabit Ethernet (RJ-45) and an M.2 Key E slot for Wi-Fi.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIndustrial expansion header:\u003c\/strong\u003e a 20-pin header exposing 2x I2C, 1x UART and 9x GPIO for sensor integration, actuator control and custom hardware triggers.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWide operating range:\u003c\/strong\u003e rated from –25°C to 60°C for cabinets, kiosks and outdoor enclosures.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRTC battery and health monitoring:\u003c\/strong\u003e an onboard real-time clock with MCU-monitored battery life, useful for unattended installations.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eSpec\u003c\/th\u003e\n\u003cth\u003eDetail\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eCompute Module\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Jetson Orin Nano 8GB (D133ONB) \/ Orin NX 8GB or 16GB (D133OXB variant)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003eM.2 Key M 2280 NVMe, 256GB SSD pre-installed\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay Output\u003c\/td\u003e\n\u003ctd\u003e1x HDMI, up to 4K30 (Orin Nano) \/ 4K60 (Orin NX)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCamera Inputs\u003c\/td\u003e\n\u003ctd\u003e2x 4-lane MIPI CSI-2 (22-pin FPC, 0.5mm pitch)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e2x USB 3.2 Type-A, 1x USB 2.0 Type-C (recovery)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNetworking\u003c\/td\u003e\n\u003ctd\u003e1x Gigabit Ethernet (RJ-45), M.2 Key E 2230 for Wi-Fi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eExpansion Header\u003c\/td\u003e\n\u003ctd\u003e20-pin, 2x I2C, 1x UART, 9x GPIO\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Input\u003c\/td\u003e\n\u003ctd\u003e12V\/5A via 3.5mm screw terminal, 9–24V accepted range\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Consumption\u003c\/td\u003e\n\u003ctd\u003eApprox. 14.4–31.5W depending on module and load\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating Temperature\u003c\/td\u003e\n\u003ctd\u003e–25°C to 60°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage Temperature\u003c\/td\u003e\n\u003ctd\u003e–40°C to 85°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e93 x 81.2 x 81.9mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003eApprox. 500g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRTC\u003c\/td\u003e\n\u003ctd\u003eOnboard real-time clock with MCU battery-life monitoring\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating System\u003c\/td\u003e\n\u003ctd\u003eNVIDIA JetPack \/ L4T (Ubuntu-based)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCertifications\u003c\/td\u003e\n\u003ctd\u003eCE, FCC, KC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTarget Applications\u003c\/td\u003e\n\u003ctd\u003eSmart retail, smart camera systems, smart city, AIoT, machine vision, robotics\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eGood to know\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eAVerMedia does not publish a specific AI TOPS figure for the D133ONB. The number that matters is the Jetson module’s own published rating: NVIDIA’s Orin Nano and Orin NX modules span roughly 40–100 TOPS depending on configuration and Super Mode, and the module you select sets that ceiling.\u003c\/li\u003e\n\u003cli\u003eThis is an inferencing and computer-vision deployment platform running the standard NVIDIA JetPack\/L4T stack, so models trained and validated on a Jetson developer kit deploy with minimal changes.\u003c\/li\u003e\n\u003cli\u003eAVerMedia positions the D133\/DX33 box PC family for smart retail, smart camera and smart city solutions.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003ePick the D133ONB when you need a sealed, mount-and-forget Jetson box with two native camera inputs. If you need an Orin NX module for higher throughput, look at the D133OXB variant instead.\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":58232537416062,"sku":"D133ONB","price":1156.78,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1022\/4468\/0062\/files\/avermedia-d133onb-3_c6c6b417-d6bf-4304-96e1-df943adeb8b7.jpg?v=1792094028"},{"product_id":"amd-ryzen-ai-halo-developer-platform-ryzen-ai-max-395","title":"AMD Ryzen AI Halo Developer Platform (Ryzen AI Max+ 395)","description":"\u003cp\u003eThe AMD Ryzen AI Halo Developer Platform is AMD's own reference-hardware dev kit built around the Ryzen AI Max+ 395 Strix Halo processor. It runs local LLM inference and fine-tuning on x86 hardware with full ROCm support. 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126 TOPS is the combined CPU + GPU + NPU total AMD publishes.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e128GB unified LPDDR5x-8000 at 256GB\/s:\u003c\/strong\u003e One memory pool shared across CPU, GPU and NPU, with AMD Variable Graphics Memory letting you allocate most of it to the GPU as VRAM.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e2TB NVMe SSD pre-installed:\u003c\/strong\u003e Local storage for model weights, datasets and containers.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFull ROCm support out of the box:\u003c\/strong\u003e AMD's ROCm stack comes pre-configured, with AMD AI Playbooks and ready-to-run setups for LM Studio, ComfyUI and VS Code.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e10GbE, Wi-Fi 7 and Bluetooth 5.4:\u003c\/strong\u003e Wired and wireless networking, plus 3x USB-C ports (with DisplayPort Alt Mode) and HDMI 2.1b.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCompact chassis:\u003c\/strong\u003e 150 x 150 x 45.4mm, roughly 1.2kg, with a 120W TDP.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eSpec\u003c\/th\u003e\n\u003cth\u003eDetail\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eProcessor\u003c\/td\u003e\n\u003ctd\u003eAMD Ryzen AI Max+ 395, 16 cores \/ 32 threads (Zen 5), 3.0GHz base \/ up to 5.1GHz boost, 64MB L3 cache\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProcess node\u003c\/td\u003e\n\u003ctd\u003eTSMC 4nm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eAMD Radeon 8060S, 40 RDNA 3.5 compute units, up to 2.9GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNPU\u003c\/td\u003e\n\u003ctd\u003eAMD XDNA 2, up to 50 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCombined AI performance\u003c\/td\u003e\n\u003ctd\u003eUp to 126 TOPS (CPU + GPU + NPU)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e128GB unified LPDDR5x-8000 (256-bit bus)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory bandwidth\u003c\/td\u003e\n\u003ctd\u003e256GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e2TB M.2 NVMe SSD, pre-installed\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNetworking\u003c\/td\u003e\n\u003ctd\u003e10 Gigabit Ethernet, Wi-Fi 7, Bluetooth 5.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePorts\u003c\/td\u003e\n\u003ctd\u003e3x USB-C (DisplayPort Alt Mode support), HDMI 2.1b\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSoftware\u003c\/td\u003e\n\u003ctd\u003eFull AMD ROCm support, AMD AI Playbooks, LM Studio \/ ComfyUI \/ VS Code preconfigured\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating system\u003c\/td\u003e\n\u003ctd\u003eWindows 11 Pro or Linux (custom AMD BIOS)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTDP\u003c\/td\u003e\n\u003ctd\u003e120W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e150 x 150 x 45.4mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003eApprox. 1.2kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eConfigurations\u003c\/td\u003e\n\u003ctd\u003eWindows 11 Pro, Linux OS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eGood to know\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eROCm has matured substantially, but it does not yet match CUDA's pre-built container images, third-party tutorials and community troubleshooting history. For teams invested in CUDA-specific tooling, that is a real migration cost.\u003c\/li\u003e\n\u003cli\u003eIt ships as AMD reference hardware with a custom AMD BIOS, and you choose either Windows 11 Pro or a Linux configuration.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eChoose the Ryzen AI Halo Developer Platform if you need x86 compatibility and a well-supported ROCm setup for local AI development. If your workflow is CUDA-first, an NVIDIA GB10 system is the closer match.\u003c\/p\u003e","brand":"AMD","offers":[{"title":"Windows 11 Pro","offer_id":58232540103038,"sku":"AMD-RAH-001-WINOS","price":4899.99,"currency_code":"USD","in_stock":true},{"title":"Linux OS","offer_id":58232540135806,"sku":"AMD-RAH-001-LINUXOS","price":3999.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1022\/4468\/0062\/files\/new-amd-ryzen-ai-halo-1_71ce8a46-6de7-48af-9190-f28b0e4a63bd.jpg?v=1792094098"},{"product_id":"asus-ascent-gx10-ai-supercomputer-nvidia-gb10-superchip","title":"ASUS Ascent GX10 AI Supercomputer (NVIDIA GB10 Superchip)","description":"\u003cp\u003eThe ASUS Ascent GX10 puts the NVIDIA GB10 Grace Blackwell Superchip in a stackable, toolless desktop chassis. It offers DGX Spark-class local compute for ML engineers and small AI teams, with 128GB of unified memory. It sits on a desk alone or stacks with a second unit when a project outgrows one machine's memory.\u003c\/p\u003e\u003ch2\u003eWho it's for\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eFine-tuning, inference and prototyping with 70B-parameter models in FP4\/INT4 quantization\u003c\/li\u003e\n\u003cli\u003eRunning 30B models at higher precision with a long context window\u003c\/li\u003e\n\u003cli\u003eAgentic AI development with OpenClaw and NVIDIA NemoClaw\u003c\/li\u003e\n\u003cli\u003eTeams pooling two units' unified memory over ConnectX-7 200GbE\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eKey features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA GB10 Superchip:\u003c\/strong\u003e An Arm v9.2-A 20-core CPU (10x Cortex-X925 + 10x Cortex-A725) joined to an integrated Blackwell GPU with 5th-gen Tensor Cores and 4th-gen RT Cores over NVLink-C2C, which ASUS states gives roughly 5x the bandwidth of PCIe Gen 5, rated up to 1 petaFLOP (1000 AI TOPS) of FP4 performance.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e128GB unified LPDDR5x at 273GB\/s:\u003c\/strong\u003e One coherent memory pool at 8533MT\/s shared by CPU and GPU, so large language models fit that would exceed the VRAM of most discrete workstation GPUs.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e1TB, 2TB or 4TB NVMe storage:\u003c\/strong\u003e A user-upgradeable M.2 2242 SSD reached through the base grille.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDual-port NVIDIA ConnectX-7 (200GbE):\u003c\/strong\u003e Networking for clustering multiple GX10 units, plus a dedicated 10GbE RJ-45 port.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eToolless, stackable chassis:\u003c\/strong\u003e The power switch is on the front rather than the rear panel, which helps when units are stacked or rack-mounted.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDual-fan cooling:\u003c\/strong\u003e Active cooling engineered to stay quiet under sustained AI workloads, with improved thermal headroom versus comparably sized systems according to ASUS.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA DGX OS:\u003c\/strong\u003e Ubuntu-based, with CUDA, PyTorch and TensorFlow pre-installed, and support for agentic AI frameworks including OpenClaw and NVIDIA NemoClaw.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eConnectivity:\u003c\/strong\u003e 3x USB-C 3.2 Gen2x2 (20Gbps) carrying DisplayPort 2.1, 1x USB-C with 180W PD 3.1 EPR power delivery, HDMI 2.1, Wi-Fi 7 and Bluetooth 5.4.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eSpec\u003c\/th\u003e\n\u003cth\u003eDetail\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eSuperchip\u003c\/td\u003e\n\u003ctd\u003eNVIDIA GB10 Grace Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003eArm v9.2-A, 20-core (10x Cortex-X925 + 10x Cortex-A725)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eIntegrated NVIDIA Blackwell, 5th Gen Tensor Cores, 4th Gen RT Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU-GPU interconnect\u003c\/td\u003e\n\u003ctd\u003eNVLink-C2C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI performance\u003c\/td\u003e\n\u003ctd\u003eUp to 1 petaFLOP \/ 1000 AI TOPS (FP4, with sparsity)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e128GB LPDDR5x, 8533MT\/s, 273GB\/s bandwidth\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e1TB \/ 2TB (PCIe Gen4) or 4TB (PCIe Gen5) NVMe SSD, user-upgradeable M.2 2242\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNetworking\u003c\/td\u003e\n\u003ctd\u003eDual-port NVIDIA ConnectX-7 (200GbE), 10 Gigabit Ethernet (RJ-45)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWireless\u003c\/td\u003e\n\u003ctd\u003eWi-Fi 7, Bluetooth 5.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePorts\u003c\/td\u003e\n\u003ctd\u003e3x USB-C 3.2 Gen2x2 (20Gbps) with DisplayPort 2.1, 1x USB-C with 180W PD 3.1 EPR, 1x HDMI 2.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating system\u003c\/td\u003e\n\u003ctd\u003eNVIDIA DGX OS (Ubuntu-based), CUDA\/PyTorch\/TensorFlow pre-installed\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAgentic AI support\u003c\/td\u003e\n\u003ctd\u003eOpenClaw, NVIDIA NemoClaw compatible\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower supply\u003c\/td\u003e\n\u003ctd\u003e240W external USB-C adapter\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e150 x 150 x 51mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003e1.48kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCooling\u003c\/td\u003e\n\u003ctd\u003eDual-fan active cooling\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eChassis\u003c\/td\u003e\n\u003ctd\u003eToolless, stackable, front-mounted power switch\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eGood to know\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eThe 1 petaFLOP \/ 1000 TOPS figure is a peak FP4 number with sparsity, so real dense-precision throughput on a given model will be lower.\u003c\/li\u003e\n\u003cli\u003eThis is a fine-tuning, inference and prototyping platform, not a from-scratch foundation-model trainer. The 140W GB10 package is cooled by the dual-fan design.\u003c\/li\u003e\n\u003cli\u003eThe standard DGX OS and CUDA stack means workloads developed here are portable to other DGX Spark-class systems or DGX Cloud.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eChoose the GX10 if you want a GB10 system with a front power switch, an upgradeable M.2 slot and a stackable design. It runs Arm, so it suits teams working in the CUDA ecosystem.\u003c\/p\u003e","brand":"ASUS","offers":[{"title":"1TB PCIe NVMe SSD","offer_id":58232540168574,"sku":"ASUS-ASCENT-GX10-1TB","price":5899.0,"currency_code":"USD","in_stock":true},{"title":"2TB PCIe NVMe SSD","offer_id":58232540201342,"sku":"ASUS-ASCENT-GX10-2TB","price":6499.0,"currency_code":"USD","in_stock":true},{"title":"4TB PCIe NVMe SSD","offer_id":58232540234110,"sku":"ASUS-ASCENT-GX10-4TB","price":7899.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1022\/4468\/0062\/files\/new-asus-ascent-gx10-1_53208dfd-244d-4433-8f44-0aeb03890e20.jpg?v=1792094099"},{"product_id":"hp-z2-mini-g1a-workstation-amd-ryzen-ai-max-pro","title":"HP Z2 Mini G1a Workstation (AMD Ryzen AI MAX PRO)","description":"\u003cp\u003eThe HP Z2 Mini G1a is a compact, workstation-certified desktop built around AMD's Ryzen AI Max PRO processor family. HP positions it for CAD, 3D design, rendering and local AI\/LLM inference, with ISV certifications, MIL-STD durability testing and an enterprise warranty. It suits engineers, designers and ML practitioners who want workstation reliability in a footprint small enough to mount behind a monitor.\u003c\/p\u003e\u003ch2\u003eWho it's for\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eCAD, 3D design, rendering and content creation with ISV-certified applications\u003c\/li\u003e\n\u003cli\u003eLocal LLM inference and light fine-tuning on up to 128GB of unified memory\u003c\/li\u003e\n\u003cli\u003eTeams already running HP Z-series workstations who want the same procurement and support\u003c\/li\u003e\n\u003cli\u003eShared deployments, with roughly five units per 4U of rack space\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eKey features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAMD Ryzen AI MAX PRO options:\u003c\/strong\u003e From the Ryzen AI MAX PRO 385 (8 cores\/16 threads, up to 5.0GHz, Radeon 8050S) to the Ryzen AI MAX+ PRO 395 (16 cores\/32 threads, up to 5.1GHz, 64MB L3 cache, Radeon 8060S).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUp to 128GB unified LPDDR5x:\u003c\/strong\u003e One memory pool shared by CPU and GPU, with up to 96GB assignable to the integrated GPU through AMD Variable Graphics Memory.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUp to 50 TOPS NPU:\u003c\/strong\u003e Dedicated AI acceleration on top of CPU and Radeon graphics compute.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStorage to 8TB:\u003c\/strong\u003e Dual NVMe modules with RAID support.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eConnectivity:\u003c\/strong\u003e 1x USB4-C (40Gbps\/Thunderbolt 4), 1x USB-C (10Gbps), 2x USB-A (10Gbps), 2x Mini DisplayPort 2.1 UHBR10 driving up to four 4K displays, 2.5GbE, Wi-Fi 7, Bluetooth 5.4, and two Flex I\/O slots with ten additional I\/O module options.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFlexible mounting:\u003c\/strong\u003e On the desk, behind a monitor, or under a desk with an optional VESA mount accessory.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEnterprise build:\u003c\/strong\u003e MIL-STD 810H durability tested, a high-airflow 3D mesh chassis, and 60% recycled plastics \/ 20% recycled steel.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWindows 11 Pro, WSL2 or Linux:\u003c\/strong\u003e Configure the OS to suit your development environment.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eSpec\u003c\/th\u003e\n\u003cth\u003eDetail\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eProcessor (as configured)\u003c\/td\u003e\n\u003ctd\u003eAMD Ryzen AI MAX PRO 385 (8C\/16T, up to 5.0GHz, 32MB cache, Radeon 8050S) or AMD Ryzen AI MAX+ PRO 395 (16C\/32T, up to 5.1GHz, 64MB cache, Radeon 8060S)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNPU\u003c\/td\u003e\n\u003ctd\u003eAMD XDNA 2, up to 50 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003eUp to 128GB unified LPDDR5x, up to 96GB allocatable to GPU via AMD Variable Graphics Memory\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003eUp to 8TB via dual NVMe modules with RAID support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay support\u003c\/td\u003e\n\u003ctd\u003eUp to 4x 4K displays\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePorts\u003c\/td\u003e\n\u003ctd\u003e1x USB4-C (40Gbps\/Thunderbolt 4), 1x USB-C (10Gbps), 2x USB-A (10Gbps), 2x Mini DisplayPort 2.1 UHBR10, 2x Flex I\/O expansion slots, UAJ headset jack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNetworking\u003c\/td\u003e\n\u003ctd\u003e2.5GbE (with HP DASH manageability), Wi-Fi 7, Bluetooth 5.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMounting\u003c\/td\u003e\n\u003ctd\u003eDesk, behind-monitor, or VESA wall\/arm mount (accessory)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower supply\u003c\/td\u003e\n\u003ctd\u003e300W internal PSU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDurability\u003c\/td\u003e\n\u003ctd\u003eMIL-STD 810H tested\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSustainability\u003c\/td\u003e\n\u003ctd\u003e60% recycled plastics, 20% recycled steel, 100% sustainably sourced outer packaging, EPEAT Gold Climate+ certified\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating system\u003c\/td\u003e\n\u003ctd\u003eWindows 11 Pro, WSL2, or Linux\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eConfigurations available\u003c\/td\u003e\n\u003ctd\u003eAI MAX PRO 385 \/ 32GB \/ 1TB SSD; AI MAX PRO 385 \/ 64GB \/ 1TB SSD; AI MAX PRO 395 \/ 64GB \/ 1TB SSD; AI MAX PRO 395 \/ 128GB \/ 1TB SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eGood to know\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eReviewers have tested the top configuration running 120-billion-parameter class models without a discrete GPU.\u003c\/li\u003e\n\u003cli\u003eIt is not a training rig for large models from scratch, and ROCm maturity still trails CUDA's depth for the newest inference frameworks.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eChoose the Ryzen AI MAX PRO 385 configuration for CAD, office work and light AI. Step up to the AI MAX+ PRO 395 with 128GB when local LLM inference and larger models drive the purchase.\u003c\/p\u003e","brand":"HP","offers":[{"title":"AI MAX PRO 385 \/ 32GB \/ 1TB SSD","offer_id":58232540266878,"sku":"HP-Z2MINI-G1A-385-32-1TB","price":3523.99,"currency_code":"USD","in_stock":true},{"title":"AI MAX PRO 385 \/ 64GB \/ 1TB SSD","offer_id":58232540299646,"sku":"HP-Z2MINI-G1A-385-64-1TB","price":4002.38,"currency_code":"USD","in_stock":true},{"title":"AI MAX PRO 395 \/ 64GB \/ 1TB SSD","offer_id":58232540332414,"sku":"HP-Z2MINI-G1A-395-64-1TB","price":3980.29,"currency_code":"USD","in_stock":true},{"title":"AI MAX PRO 395 \/ 128GB \/ 1TB SSD","offer_id":58232540365182,"sku":"HP-Z2MINI-G1A-395-128-1TB","price":4406.83,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1022\/4468\/0062\/files\/new-hp-z2-mini-g1a-1_0cf9cfd9-4610-43cb-8816-629a92edcec4.jpg?v=1792094100"},{"product_id":"bosgame-m5-ai-mini-pc-ryzen-ai-max-395","title":"BOSGAME M5 AI Mini PC (Ryzen AI Max+ 395)","description":"\u003cp\u003eThe BOSGAME M5 puts AMD's Ryzen AI Max+ 395 Strix Halo processor in an all-metal mini desktop. It offers up to 128GB of unified memory and enough I\/O to double as a daily-driver desktop. It suits developers and AI hobbyists who want the most local-LLM memory capacity in a compact chassis, without workstation pricing.\u003c\/p\u003e\u003ch2\u003eWho it's for\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eLocal inference, RAG pipeline testing and agentic workflow development on models in the 30B–70B range\u003c\/li\u003e\n\u003cli\u003eRunning quantized open-weight models too big for a 16GB or 24GB discrete GPU\u003c\/li\u003e\n\u003cli\u003eCreators who move footage or datasets off SD cards\u003c\/li\u003e\n\u003cli\u003eAnyone who wants a quiet desk machine that can switch to full-speed batch jobs\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eKey features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAMD Ryzen AI Max+ 395 processor:\u003c\/strong\u003e 16 Zen 5 cores \/ 32 threads with integrated Radeon 8060S graphics (40 RDNA 3.5 compute units) for gaming and compute-shader work alongside AI acceleration.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUp to 126 TOPS combined AI performance:\u003c\/strong\u003e The XDNA 2 NPU delivers 50 TOPS on its own; the 126 TOPS figure combines CPU, GPU and NPU throughput.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e96GB or 128GB LPDDR5X-8000 unified memory:\u003c\/strong\u003e Pick the pool to match your model size; the 128GB configuration loads open-weight LLMs well beyond a typical discrete GPU's VRAM.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDual M.2 PCIe Gen4 slots, 2TB included:\u003c\/strong\u003e Fast storage out of the box, with a second slot free as your model library grows.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDual USB4 (40Gbps):\u003c\/strong\u003e One front and one rear, for external storage, docking or DisplayPort Alt Mode, plus three USB 3.2 Gen2 Type-A ports and two USB 2.0 ports.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eQuad display support:\u003c\/strong\u003e HDMI 2.1, a full-size DisplayPort with 8K@60Hz, and DisplayPort Alt Mode over the USB4 ports drive up to four displays.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAll-metal chassis with 3-way performance switch:\u003c\/strong\u003e A physical Silent \/ Balanced \/ Extreme switch trades noise for sustained throughput, and a bundled vertical stand gives a PS5-style upright footprint.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWi-Fi 7 and full-size SD 4.0 card reader:\u003c\/strong\u003e Modern wireless plus a card reader for removable media.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eSpec\u003c\/th\u003e\n\u003cth\u003eDetail\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eProcessor\u003c\/td\u003e\n\u003ctd\u003eAMD Ryzen AI Max+ 395, 16 cores \/ 32 threads (Zen 5)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eAMD Radeon 8060S, 40 RDNA 3.5 compute units\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNPU\u003c\/td\u003e\n\u003ctd\u003eAMD XDNA 2, up to 50 TOPS (up to 126 TOPS combined platform AI performance)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e96GB or 128GB LPDDR5X-8000 unified memory\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003eDual M.2 PCIe Gen4 NVMe slots, 2TB SSD included\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e2x USB4 (40Gbps, front + rear), 3x USB 3.2 Gen2 Type-A (10Gbps), 2x USB 2.0 Type-A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay\u003c\/td\u003e\n\u003ctd\u003e1x HDMI 2.1, 1x DisplayPort (8K@60Hz), DisplayPort Alt Mode via USB4; up to 4 displays\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNetworking\u003c\/td\u003e\n\u003ctd\u003e2.5 Gigabit Ethernet, Wi-Fi 7, Bluetooth\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOther I\/O\u003c\/td\u003e\n\u003ctd\u003eFull-size SD 4.0 card reader, 3.5mm headphone and microphone jacks\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eChassis\u003c\/td\u003e\n\u003ctd\u003eAll-metal construction with angled vent design; bundled vertical stand\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUnique feature\u003c\/td\u003e\n\u003ctd\u003ePhysical 3-way performance switch (Silent \/ Balanced \/ Extreme)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003eApprox. 220.8 x 199.5 x 57.1mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eConfigurations available\u003c\/td\u003e\n\u003ctd\u003e96GB RAM \/ 2TB SSD; 128GB RAM \/ 2TB SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eGood to know\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eNetworking is 2.5GbE rather than 10GbE, which matters if you regularly move very large datasets or checkpoints across a local network. Reviewers have flagged this gap at its price and performance tier.\u003c\/li\u003e\n\u003cli\u003eAs with every Strix Halo device, ROCm software support has improved but still trails CUDA for some of the newest inference frameworks, so budget time for setup if you come from an NVIDIA-first workflow.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eChoose the M5 when memory capacity per pound and a compact all-metal build matter most. If you need 10GbE or a PCIe slot for a discrete GPU, look at a Ryzen AI Max+ 395 machine that offers them.\u003c\/p\u003e","brand":"BOSGAME","offers":[{"title":"96GB RAM \/ 2TB SSD","offer_id":58232540397950,"sku":"BOSGAME-M5-96-2TB","price":3299.99,"currency_code":"USD","in_stock":true},{"title":"128GB RAM \/ 2TB SSD","offer_id":58232540430718,"sku":"BOSGAME-M5-128-2TB","price":3599.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1022\/4468\/0062\/files\/new-bosgame-m5-1.jpg?v=1792094102"},{"product_id":"minisforum-ms-s1-max-mini-workstation-ryzen-ai-max-395","title":"MINISFORUM MS-S1 Max Mini Workstation (Ryzen AI Max+ 395)","description":"\u003cp\u003eThe MINISFORUM MS-S1 Max is a mini AI workstation built around AMD's Ryzen AI Max+ 395 processor. Its standout feature is a full-length PCIe 4.0 x16 slot for a discrete GPU, which no other Strix Halo mini PC in its class offers. It suits developers and small studios who want serious local LLM inference now and the option to add a graphics card later without changing chassis.\u003c\/p\u003e\u003ch2\u003eWho it's for\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eLocal LLM inference on models in the 30B–70B parameter range\u003c\/li\u003e\n\u003cli\u003eAgentic pipeline development\u003c\/li\u003e\n\u003cli\u003eTeams that may need CUDA tooling later by adding an NVIDIA card in the PCIe slot\u003c\/li\u003e\n\u003cli\u003eSmall AI studios and robotics teams that move large datasets and checkpoints over 10GbE\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eKey features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAMD Ryzen AI Max+ 395 processor:\u003c\/strong\u003e 16 Zen 5 cores \/ 32 threads at 3.0–5.1GHz, with integrated Radeon 8060S graphics (40 RDNA 3.5 compute units up to 2.9GHz).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUp to 126 TOPS combined AI performance:\u003c\/strong\u003e The XDNA 2 NPU delivers 50 TOPS on its own; the 126 TOPS platform figure combines CPU, GPU and NPU throughput.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUp to 128GB LPDDR5x at 8000MT\/s:\u003c\/strong\u003e A 256-bit memory bus shared across CPU, GPU and NPU, giving large open-weight models room to load.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFull-length PCIe 4.0 x16 slot:\u003c\/strong\u003e Add a discrete GPU for CUDA-specific workloads, additional VRAM or gaming.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDual USB4 V2 at 80Gbps:\u003c\/strong\u003e The rear pair runs USB4 V2 at double the bandwidth of standard USB4, alongside two 40Gbps USB4 ports up front.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDual 10 Gigabit Ethernet:\u003c\/strong\u003e 10GbE on both ports rather than the 2.5GbE common on competing mini PCs.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAsymmetric dual M.2 storage, up to 16TB:\u003c\/strong\u003e One PCIe 4.0 x4 slot at full speed and a second capped at roughly 2GB\/s, both supporting up to 8TB drives with RAID 0\/1.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCopper-substrate cooling:\u003c\/strong\u003e Six heat pipes, phase-change thermal material and dual centrifugal turbine fans up to 3,600RPM, built to sustain the 320W built-in power supply under continuous AI workloads.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eSpec\u003c\/th\u003e\n\u003cth\u003eDetail\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eProcessor\u003c\/td\u003e\n\u003ctd\u003eAMD Ryzen AI Max+ 395, 16 cores \/ 32 threads (Zen 5), 3.0–5.1GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eAMD Radeon 8060S, 40 RDNA 3.5 compute units, up to 2.9GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNPU\u003c\/td\u003e\n\u003ctd\u003eAMD XDNA 2, up to 50 TOPS (up to 126 TOPS combined platform AI performance)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003eUp to 128GB LPDDR5x, 256-bit bus, 8000MT\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eExpansion\u003c\/td\u003e\n\u003ctd\u003eFull-length PCIe 4.0 x16 slot for discrete GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003eDual M.2 2280 NVMe. Slot 1: PCIe 4.0 x4 (full speed, up to 8TB). Slot 2: single-lane (~2GB\/s, up to 8TB). RAID 0\/1 supported, up to 16TB total\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNetworking\u003c\/td\u003e\n\u003ctd\u003eDual 10 Gigabit Ethernet (RJ-45), Wi-Fi 7, Bluetooth 5.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e2x USB4 V2 (80Gbps, rear), 2x USB4 (40Gbps, front, DP Alt 2.0), 1x USB-A 10Gbps (front), 2x USB-A 3.2 Gen2 (rear), 2x USB 2.0 (rear)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay\u003c\/td\u003e\n\u003ctd\u003e1x HDMI 2.1 FRL (8K@60Hz \/ 4K@120Hz), DisplayPort Alt Mode via USB4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCooling\u003c\/td\u003e\n\u003ctd\u003eCopper-substrate design, 6 heat pipes, phase-change thermal material, dual centrifugal turbine fans (up to 3,600RPM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower\u003c\/td\u003e\n\u003ctd\u003eBuilt-in 320W PSU; TDP profiles: Performance 130W, Balanced 95W, Quiet 60W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eChassis\u003c\/td\u003e\n\u003ctd\u003eSlide-out, tool-less internal access; VESA mount compatible; Kensington lock slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOther features\u003c\/td\u003e\n\u003ctd\u003eDual directional microphones with AI noise cancellation; four selectable operation modes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e222.1 x 206.3 x 77.1mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003e2.8kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eConfigurations available\u003c\/td\u003e\n\u003ctd\u003e64GB RAM \/ 2TB SSD; 128GB RAM \/ 2TB SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eGood to know\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003ePut your OS and active model files on the full-speed PCIe 4.0 x4 slot, and use the second, single-lane slot for archival data.\u003c\/li\u003e\n\u003cli\u003eWith a built-in 320W power supply and a 130W performance mode, this is a power-hungry machine by mini-PC standards, and the cooling may be audible under sustained Extreme-mode workloads.\u003c\/li\u003e\n\u003cli\u003eAs with every Strix Halo platform, ROCm software support has matured but still lags CUDA's depth for the newest inference frameworks. The PCIe slot lets you close that gap by adding an NVIDIA card.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eChoose the MS-S1 Max if you want a Strix Halo mini workstation that can grow into a discrete-GPU machine. If you will never add a card, a smaller Ryzen AI Max+ 395 mini PC covers the same core specs.\u003c\/p\u003e","brand":"MINISFORUM","offers":[{"title":"64GB RAM \/ 2TB SSD","offer_id":58232540463486,"sku":"MSFORUM-MSS1MAX-64-2TB","price":2469.0,"currency_code":"USD","in_stock":true},{"title":"128GB RAM \/ 2TB SSD","offer_id":58232540496254,"sku":"MSFORUM-MSS1MAX-128-2TB","price":3199.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1022\/4468\/0062\/files\/new-minisforum-ms-s1-max-1_36d39514-b882-4e00-968d-a8c22e0fc929.jpg?v=1792094103"},{"product_id":"dell-pro-micro-qcm1250-ai-business-mini-desktop-intel-ultra-5-235t","title":"Dell Pro Micro QCM1250 AI Business Mini Desktop (Intel Ultra 5-235T)","description":"\u003cp\u003eThe Dell Pro Micro QCM1250 is a one-litre business desktop built for IT teams that need to standardise on fast, affordable hardware across dozens of desks. It uses the Intel Core Ultra 5-235T, a 2026-generation processor with a dedicated NPU for AI-accelerated productivity tools. It mounts behind a monitor or on a VESA arm, and it suits fleet deployments with Intel vPro remote management.\u003c\/p\u003e\u003ch2\u003eWho it's for\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eIT managers imaging and supporting five or five hundred identical desktops\u003c\/li\u003e\n\u003cli\u003eDistributed or multi-site offices that need out-of-band remote troubleshooting\u003c\/li\u003e\n\u003cli\u003eKnowledge workers running Microsoft 365 and Teams with many browser tabs open\u003c\/li\u003e\n\u003cli\u003eOffices that want a small footprint with no tower under the desk\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eKey features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntel Core Ultra 5-235T processor:\u003c\/strong\u003e 14 cores (6 performance + 8 efficient) with boost speeds up to 5.0GHz and 24MB of Intel Smart Cache, on Intel's efficient 35W-class Arrow Lake architecture for quiet, low-heat deployment.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntel AI Boost NPU (13 TOPS):\u003c\/strong\u003e Dedicated on-chip AI acceleration for Windows Studio Effects, Copilot+ features and background AI tasks, without loading down the CPU.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUp to 64GB DDR5 memory:\u003c\/strong\u003e Headroom for multitasking, virtual desktop clients and several business applications at once.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUp to 8TB PCIe NVMe SSD storage:\u003c\/strong\u003e Fast boot and load times, scaling from thin-client-style deployments to full local-storage workstations.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntel vPro support:\u003c\/strong\u003e Hardware-level remote management, out-of-band troubleshooting and enhanced security for fleet deployments.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntel Wi-Fi 6E and Gigabit Ethernet:\u003c\/strong\u003e Wired and wireless connectivity for any office network.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eVESA-mountable chassis:\u003c\/strong\u003e Just over 1 litre in volume (7.17 x 7.01 x 1.41 inches), so you can mount it behind a monitor and reclaim the desk.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e90W external power supply:\u003c\/strong\u003e Low power draw keeps running costs down across a full office, with no internal fan noise to speak of under typical office loads.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eSpec\u003c\/th\u003e\n\u003cth\u003eDetail\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eProcessor\u003c\/td\u003e\n\u003ctd\u003eIntel Core Ultra 5-235T, 14 cores (6P + 8E), up to 5.0GHz boost, 24MB Intel Smart Cache, vPro\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNPU\u003c\/td\u003e\n\u003ctd\u003eIntel AI Boost, 13 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGraphics\u003c\/td\u003e\n\u003ctd\u003eIntegrated Intel Graphics\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003eDDR5, configurable from 16GB up to 64GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003ePCIe NVMe SSD, configurable from 512GB up to 8TB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWireless\u003c\/td\u003e\n\u003ctd\u003eIntel Wi-Fi 6E (AX211, 2×2) plus Bluetooth\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWired networking\u003c\/td\u003e\n\u003ctd\u003eGigabit Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePorts\u003c\/td\u003e\n\u003ctd\u003e1x DisplayPort 1.4a, 1x HDMI, 1x USB-C 3.2 Gen 2, 3x USB 3.2 Gen 1, 2x USB 2.0, headphone\/mic combo jack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSecurity\u003c\/td\u003e\n\u003ctd\u003eTPM security chip, vPro remote management\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower supply\u003c\/td\u003e\n\u003ctd\u003e90W external adapter\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e7.17 x 7.01 x 1.41 inches, VESA mount compatible\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003eApproximately 3.09 lbs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating system\u003c\/td\u003e\n\u003ctd\u003eWindows 11 Pro\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIncluded accessories\u003c\/td\u003e\n\u003ctd\u003eKeyboard and mouse\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eGood to know\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eThis is an integrated-graphics business desktop, not a workstation for CAD or 3D rendering.\u003c\/li\u003e\n\u003cli\u003eThe NPU accelerates specific AI features rather than replacing GPU-class compute.\u003c\/li\u003e\n\u003cli\u003eEvery unit ships with the same Intel Core Ultra 5-235T processor, TPM security chip and Windows 11 Pro image, so imaging, patching and support stay identical at any scale.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eChoose the QCM1250 over the Ryzen-based Pro Micro when you want vPro remote management and an NPU for Copilot+ features. It is the right fit for a managed office fleet, not for local AI model work.\u003c\/p\u003e","brand":"Dell","offers":[{"title":"16GB RAM \/ 8TB SSD","offer_id":58232540529022,"sku":"DELL-PROMICRO-INTEL-16-8TB","price":2749.99,"currency_code":"USD","in_stock":true},{"title":"32GB RAM \/ 4TB SSD","offer_id":58232540561790,"sku":"DELL-PROMICRO-INTEL-32-4TB","price":2362.49,"currency_code":"USD","in_stock":true},{"title":"64GB RAM \/ 4TB SSD","offer_id":58232540594558,"sku":"DELL-PROMICRO-INTEL-64-4TB","price":2649.99,"currency_code":"USD","in_stock":true},{"title":"64GB RAM \/ 8TB SSD","offer_id":58232540627326,"sku":"DELL-PROMICRO-INTEL-64-8TB","price":3449.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1022\/4468\/0062\/files\/new-dell-promicro-intel-1_62803750-61e1-4dcd-ab14-9c4d75a6f27b.jpg?v=1792094106"},{"product_id":"dell-pro-micro-ai-business-mini-desktop-amd-ryzen-5-8500ge","title":"Dell Pro Micro AI Business Mini Desktop (AMD Ryzen 5 8500GE)","description":"\u003cp\u003eThe Dell Pro Micro with AMD Ryzen 5 8500GE is a one-litre business desktop for small businesses and home offices that want a modern, efficient machine without enterprise-tier extras. It uses the same one-litre chassis as Dell's Intel-based Pro Micro range, with an efficient AMD Ryzen 5 APU, integrated graphics and quiet running, at a lower price than the Intel Core Ultra configuration.\u003c\/p\u003e\u003ch2\u003eWho it's for\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eSmall businesses kitting out a handful of desks\u003c\/li\u003e\n\u003cli\u003eHome offices that run Microsoft 365 and browser-based tools\u003c\/li\u003e\n\u003cli\u003eDual-monitor productivity setups that do not need a discrete GPU\u003c\/li\u003e\n\u003cli\u003eSecondary sites, temporary workstations and remote or hybrid staff\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eKey features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAMD Ryzen 5 8500GE processor:\u003c\/strong\u003e 6 cores and 12 threads, 3.4GHz base clock with boost up to 5.0GHz, built on AMD's efficient Zen 4 architecture with a 35W TDP for low heat and quiet running.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAMD Radeon 740M integrated graphics:\u003c\/strong\u003e Everyday graphics performance for office work, multiple monitors and light photo or video editing.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUp to 64GB DDR5 memory:\u003c\/strong\u003e Headroom for office applications, browser-heavy workflows and virtual meetings running at the same time.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUp to 8TB PCIe NVMe SSD storage:\u003c\/strong\u003e Fast, silent solid-state storage, from a lean desktop build to a full local file store.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDual display support:\u003c\/strong\u003e DisplayPort 1.4a and HDMI 2.1 drive two monitors directly, without an adapter or docking station.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWi-Fi 6 and Bluetooth 5.4:\u003c\/strong\u003e Modern wireless alongside Gigabit Ethernet for a reliable wired connection.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOne-litre chassis:\u003c\/strong\u003e Small enough to sit on, under or behind a monitor, which frees desk space in tight offices.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e90W power supply:\u003c\/strong\u003e Low running costs and minimal heat output for open-plan offices and shared workspaces.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eSpec\u003c\/th\u003e\n\u003cth\u003eDetail\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eProcessor\u003c\/td\u003e\n\u003ctd\u003eAMD Ryzen 5 8500GE, 6 cores \/ 12 threads, 3.4GHz base, up to 5.0GHz boost, 35W TDP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCache\u003c\/td\u003e\n\u003ctd\u003e6MB L2, 16MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGraphics\u003c\/td\u003e\n\u003ctd\u003eIntegrated AMD Radeon 740M\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003eDDR5, configurable from 16GB up to 64GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003ePCIe NVMe SSD, configurable from 4TB up to 8TB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWireless\u003c\/td\u003e\n\u003ctd\u003eWi-Fi 6, Bluetooth 5.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWired networking\u003c\/td\u003e\n\u003ctd\u003eGigabit Ethernet (RJ-45)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePorts\u003c\/td\u003e\n\u003ctd\u003e1x DisplayPort 1.4a, 1x HDMI 2.1, USB-C 3.2 Gen 2, multiple USB 3.2 Gen 1 and USB 2.0 ports, headset jack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay support\u003c\/td\u003e\n\u003ctd\u003eDual independent displays\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower supply\u003c\/td\u003e\n\u003ctd\u003e90W external adapter\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eForm factor\u003c\/td\u003e\n\u003ctd\u003eOne-litre micro chassis\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating system\u003c\/td\u003e\n\u003ctd\u003eWindows 11 Pro\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eGood to know\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eThis configuration is built for general office productivity, not AI-accelerated workloads or 3D graphics. There is no dedicated NPU and no vPro remote management, and the Radeon 740M is integrated rather than discrete.\u003c\/li\u003e\n\u003cli\u003eIt sits below the Intel Core Ultra 5-235T Pro Micro on price, with the same one-litre form factor, the same DDR5 memory ceiling and the same storage options up to 8TB.\u003c\/li\u003e\n\u003cli\u003eEvery unit ships imaged and ready with Windows 11 Pro, so you can connect a monitor via DisplayPort or HDMI and start work.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eChoose this Pro Micro when dependable, efficient desktops at the best price matter more than an NPU or fleet management. If you need those, step up to the Intel Core Ultra configuration.\u003c\/p\u003e","brand":"Dell","offers":[{"title":"16GB RAM \/ 8TB SSD","offer_id":58232540660094,"sku":"DELL-PROMICRO-AMD-16-8TB","price":2589.99,"currency_code":"USD","in_stock":true},{"title":"32GB RAM \/ 8TB SSD","offer_id":58232540692862,"sku":"DELL-PROMICRO-AMD-32-8TB","price":3029.99,"currency_code":"USD","in_stock":true},{"title":"64GB RAM \/ 4TB SSD","offer_id":58232540725630,"sku":"DELL-PROMICRO-AMD-64-4TB","price":2539.99,"currency_code":"USD","in_stock":true},{"title":"64GB RAM \/ 8TB SSD","offer_id":58232540758398,"sku":"DELL-PROMICRO-AMD-64-8TB","price":3389.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1022\/4468\/0062\/files\/new-dell-promicro-amd-1_9ce4c330-4c93-4357-99e6-f52800302bac.jpg?v=1792094106"},{"product_id":"hp-prodesk-4-mini-g1i-ai-business-mini-desktop-intel-ultra-5-235t","title":"HP ProDesk 4 Mini G1i AI Business Mini Desktop (Intel Ultra 5-235T)","description":"\u003cp\u003eThe HP ProDesk 4 Mini G1i is a one-litre business desktop for IT teams that want to standardise on a machine that deploys quickly, is secure by default and needs little attention afterwards. It is powered by the 14-core Intel Core Ultra 5-235T with a dedicated AI NPU, and it carries HP Wolf Security, hardware-enforced protection from BIOS to browser. It suits mainstream enterprise and SMB desktop fleets.\u003c\/p\u003e\u003ch2\u003eWho it's for\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eRolling out one standard desktop across an office, imaged once and deployed at scale\u003c\/li\u003e\n\u003cli\u003eBusinesses handling sensitive client data or working in regulated sectors\u003c\/li\u003e\n\u003cli\u003eMulti-monitor desks driven by dual DisplayPort 2.1 plus HDMI 2.1\u003c\/li\u003e\n\u003cli\u003eHybrid and hot-desk environments that rely on Wi-Fi 6E and Bluetooth 5.3\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eKey features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntel Core Ultra 5-235T processor:\u003c\/strong\u003e 14 cores (6 performance + 8 efficient) with boost speeds up to 5.0GHz, 24MB of cache and a 35W TDP, built for quiet, efficient always-on office use.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e13 TOPS Intel AI Boost NPU:\u003c\/strong\u003e Dedicated on-device AI acceleration for Copilot+ features, background noise suppression and camera effects, without taxing the CPU cores.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUp to 64GB DDR5 memory:\u003c\/strong\u003e Accessible memory slots for future upgrades, with capacity for demanding multitasking across office and light professional workloads.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUp to 8TB PCIe NVMe SSD:\u003c\/strong\u003e Fast boot and application launch times, with storage that scales from lean thin-client configurations to full local workstations.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHP Wolf Security built in:\u003c\/strong\u003e Hardware-enforced protection that guards the PC from BIOS to browser, reducing the attack surface below the operating system.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDual DisplayPort 2.1 plus HDMI 2.1:\u003c\/strong\u003e Drive multiple high-resolution monitors out of the box, with optional flex I\/O for USB-C (100W Power Delivery), extra DisplayPort, HDMI, VGA or serial connectivity for legacy equipment.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWi-Fi 6E and Bluetooth 5.3:\u003c\/strong\u003e Modern wireless connectivity for hybrid and hot-desk environments.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOne-litre, VESA-mountable chassis:\u003c\/strong\u003e Mounts directly behind a monitor and frees desk space across an entire office rollout.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eSpec\u003c\/th\u003e\n\u003cth\u003eDetail\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eProcessor\u003c\/td\u003e\n\u003ctd\u003eIntel Core Ultra 5-235T, 14 cores (6P + 8E), up to 5.0GHz boost, 24MB cache, 35W TDP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNPU\u003c\/td\u003e\n\u003ctd\u003eIntel AI Boost, 13 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGraphics\u003c\/td\u003e\n\u003ctd\u003eIntegrated Intel Graphics\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003eDDR5, configurable from 32GB up to 64GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003ePCIe NVMe SSD, configurable from 4TB up to 8TB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWireless\u003c\/td\u003e\n\u003ctd\u003eWi-Fi 6E, Bluetooth 5.3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePorts\u003c\/td\u003e\n\u003ctd\u003e2x DisplayPort 2.1, 1x HDMI 2.1, 3x USB-A (5Gbps), RJ-45 Ethernet; optional flex I\/O for USB-C 100W PD, extra DisplayPort\/HDMI\/VGA\/serial\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSecurity\u003c\/td\u003e\n\u003ctd\u003eHP Wolf Security (hardware-enforced, BIOS to browser)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eForm factor\u003c\/td\u003e\n\u003ctd\u003eOne-litre chassis, VESA mount compatible\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating system\u003c\/td\u003e\n\u003ctd\u003eWindows 11 Pro\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTarget use\u003c\/td\u003e\n\u003ctd\u003eMainstream enterprise and SMB desktop deployment\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eGood to know\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eThe 13 TOPS NPU accelerates specific on-device features, such as background blur and eye contact in video calls, Windows Studio Effects and select Copilot+ experiences. It does not replace GPU-class compute for serious AI development.\u003c\/li\u003e\n\u003cli\u003eWolf Security works in the hardware and firmware layer rather than inside Windows, helping defend against firmware attacks, malicious USB devices and threats that try to establish themselves before the operating system loads.\u003c\/li\u003e\n\u003cli\u003eThe optional flex I\/O module lets IT teams add legacy VGA or serial ports without changing the base unit. It works with HP's enterprise management tooling.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eChoose the ProDesk 4 Mini G1i when hardware-rooted security and easy fleet deployment matter more than raw speed. For serious local AI work, a machine with a discrete GPU or large unified memory is the better fit.\u003c\/p\u003e","brand":"HP","offers":[{"title":"32GB RAM \/ 8TB SSD","offer_id":58232540823934,"sku":"HP-PRODESK4-G1I-32-8TB","price":2339.99,"currency_code":"USD","in_stock":true},{"title":"64GB RAM \/ 4TB SSD","offer_id":58232540856702,"sku":"HP-PRODESK4-G1I-64-4TB","price":2249.99,"currency_code":"USD","in_stock":true},{"title":"64GB RAM \/ 8TB SSD","offer_id":58232540889470,"sku":"HP-PRODESK4-G1I-64-8TB","price":2699.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1022\/4468\/0062\/files\/new-hp-prodesk4-mini-g1i-1.jpg?v=1792094109"}],"url":"https:\/\/computahardware.net\/collections\/ai-pcs.oembed","provider":"ComputaHardware","version":"1.0","type":"link"}