{"title":"ASUS","description":null,"products":[{"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; optional 65W AC adapter (100–240VAC in, 19VDC\/3.42A out)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSystem Power Draw\u003c\/td\u003e\n\u003ctd\u003eApprox. 10–25W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating Temperature\u003c\/td\u003e\n\u003ctd\u003e–20°C to 50°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\u003eHumidity\u003c\/td\u003e\n\u003ctd\u003e10–95% non-condensing\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eShock \/ Vibration\u003c\/td\u003e\n\u003ctd\u003eMIL-STD-810H Method 516.8 (shock) \/ Method 514.8 (vibration)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e152 x 114 x 72mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003e1.4kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eChassis\u003c\/td\u003e\n\u003ctd\u003eFanless extruded-aluminium, wall\/DIN-rail mountable\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating System\u003c\/td\u003e\n\u003ctd\u003eUbuntu Desktop (NVIDIA JetPack \/ L4T), with NVIDIA Isaac ROS \/ ROS2 support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCertifications\u003c\/td\u003e\n\u003ctd\u003eCE, FCC, RoHS; 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":"asus-rog-g700-gaming-desktop-intel-core-ultra-7-265f-rtx-5070","title":"ASUS ROG G700 Gaming Desktop (Intel Core Ultra 7 265F, RTX 5070)","description":"\u003cp\u003eThe ASUS ROG G700 is a purpose-built ROG gaming desktop, not an office PC retrofitted with a budget graphics card. It pairs an Intel Core Ultra 7 265F with an NVIDIA GeForce RTX 5070 (12GB GDDR7), 32GB of DDR5 and a 2TB SSD. It has been professionally refurbished and fully function-tested, and it suits gamers and creators who want current-generation performance below new-unit pricing.\u003c\/p\u003e\u003ch2\u003eWho it's for\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eGamers driving a 1440p 144Hz+ monitor with the latest AAA titles on high or ultra settings\u003c\/li\u003e\n\u003cli\u003ePlayers with a 4K display who lean on DLSS 4 and Multi Frame Generation to lift frame rates\u003c\/li\u003e\n\u003cli\u003eContent creators who need the Core Ultra 7’s 20 cores for encoding and rendering alongside gaming\u003c\/li\u003e\n\u003cli\u003eStreamers who run Discord, a browser with dozens of tabs and background applications while playing\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eKey features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntel Core Ultra 7 265F Processor:\u003c\/strong\u003e Intel’s Arrow Lake-S desktop architecture, with 20 cores (8 Performance-cores plus 12 Efficiency-cores) and 20 threads, clocking up to 5.3GHz for gaming, streaming, video editing and heavy multitasking.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA GeForce RTX 5070 (12GB GDDR7):\u003c\/strong\u003e built on NVIDIA’s Blackwell architecture, with 4th-generation RT cores for real-time ray tracing and DLSS 4 with Multi Frame Generation for high frame rates at high resolutions.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e32GB DDR5 Memory:\u003c\/strong\u003e fast, current-generation DDR5 in ample quantity for gaming, content creation and demanding applications running alongside your games.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e2TB SSD Storage:\u003c\/strong\u003e room for your entire game library, applications and files, with none of the loading-time compromises of a mechanical hard drive.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGenuine ASUS ROG Chassis:\u003c\/strong\u003e built by ASUS’s Republic of Gamers division, with case airflow and cooling engineered to keep a high-wattage GPU and 20-core CPU running cool under sustained gaming load.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWindows 11 Home:\u003c\/strong\u003e pre-installed and ready to game, stream and work out of the box.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProfessionally Refurbished \u0026amp; Tested:\u003c\/strong\u003e fully inspected and stress-tested before it ships.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePorts \u0026amp; Connectivity:\u003c\/strong\u003e modern rear and front I\/O typical of a current ASUS ROG desktop, including multiple USB 3.2 ports, DisplayPort and HDMI outputs for high-refresh monitors, and Gigabit Ethernet for online play.\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 7 265F, 20 cores (8P+12E) \/ 20 threads, up to 5.3GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGraphics\u003c\/td\u003e\n\u003ctd\u003eNVIDIA GeForce RTX 5070, 12GB GDDR7, DLSS 4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e32GB DDR5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e2TB SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating System\u003c\/td\u003e\n\u003ctd\u003eWindows 11 Home\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eChassis\u003c\/td\u003e\n\u003ctd\u003eASUS ROG gaming tower\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eConnectivity\u003c\/td\u003e\n\u003ctd\u003eMultiple USB 3.2 ports, DisplayPort, HDMI, Gigabit Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCondition\u003c\/td\u003e\n\u003ctd\u003eProfessionally refurbished and fully function-tested\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 a refurbished unit, so expect the kind of minor cosmetic wear typical of a previously-used system. Light marks on the case are possible.\u003c\/li\u003e\n\u003cli\u003eEvery unit is unboxed, inspected, benchmarked, stress-tested and functionally tested by a technician before it is relisted.\u003c\/li\u003e\n\u003cli\u003eThe RTX 5070 comfortably runs the latest AAA titles at 1440p with high or ultra settings, and handles 4K in most titles once DLSS 4 Multi Frame Generation boosts frame rates.\u003c\/li\u003e\n\u003cli\u003eThe 4th-generation RT cores make ray-traced lighting, reflections and shadows run smoothly.\u003c\/li\u003e\n\u003cli\u003eThere is thermal and power headroom left for future storage upgrades.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis is the top gaming pick in the ComputaHardware range. Choose it over the budget dedicated-GPU towers when you want the newest ray-traced AAA titles at high frame rates rather than esports at 1080p.\u003c\/p\u003e","brand":"ASUS","offers":[{"title":"Default Title","offer_id":58232538825086,"sku":"REFURB-G700TF-SS778-R","price":1940.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1022\/4468\/0062\/files\/refurb-asus-rog-g700_cdb79991-4bd9-468b-81ad-44bf814b63bc.jpg?v=1792094052"},{"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"}],"url":"https:\/\/computahardware.net\/collections\/asus.oembed","provider":"ComputaHardware","version":"1.0","type":"link"}