{"product_id":"acer-veriton-ai-mini-workstation-personal-computer-gn100-ud11-series","title":"Acer Veriton AI Mini Workstation Personal Computer GN100-UD11 Series","description":"\u003cp\u003eThe Acer Veriton GN100 AI Mini Workstation brings server-grade AI compute to your desk instead of a data center. It is built around the NVIDIA GB10 Grace Blackwell Superchip, the same silicon at the heart of NVIDIA’s own DGX Spark platform, and delivers up to 1 petaFLOP of FP4 AI performance in a sealed chassis you can hold in one hand. It suits AI developers, researchers and businesses that need to run and fine-tune large models locally without cloud API costs, egress fees or data leaving the building.\u003c\/p\u003e\u003ch2\u003eWho it's for\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eAI developers running and fine-tuning models with 200B+ parameters locally\u003c\/li\u003e\n\u003cli\u003eLegal, healthcare, financial services and R\u0026amp;D teams working with proprietary models, regulated data or client-confidential information\u003c\/li\u003e\n\u003cli\u003eTeams running NVIDIA NIM microservices locally, pre-configured through DGX OS\u003c\/li\u003e\n\u003cli\u003eGroups that have outgrown a single high-end GPU workstation but are not ready to commission a server room\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 unified 20-core Arm CPU (10 Cortex-X925 performance cores + 10 Cortex-A725 efficiency cores) fused with a Blackwell-generation GPU carrying 6,144 CUDA cores and fifth-generation Tensor Cores.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUp to 1 PFLOPS of FP4 AI performance (with sparsity):\u003c\/strong\u003e enough throughput to run and fine-tune models with 200B+ parameters locally.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e128GB unified LPDDR5x memory at 273GB\/s:\u003c\/strong\u003e shared between CPU and GPU, removing the CPU-GPU data transfer bottleneck that limits typical PC-plus-GPU setups.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e4TB self-encrypting NVMe SSD:\u003c\/strong\u003e secure local storage for models, datasets and containers, backed by an integrated Kensington lock and a tamper-resistant 1.2kg sealed chassis.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDual 200Gbps NVIDIA ConnectX-7 ports:\u003c\/strong\u003e direct-attach a second GN100 for combined 405B-parameter inference, or link up to four units through a RoCE 200GbE switch for a small AI cluster.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA DGX OS pre-installed:\u003c\/strong\u003e a Linux-based platform tuned for the NVIDIA AI stack, with CUDA, PyTorch, NIM microservices and the NeMo Framework ready to run out of the box.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEveryday connectivity:\u003c\/strong\u003e Wi-Fi 7, four USB 3.2 Type-C ports, HDMI 2.1b output and a dedicated Gigabit LAN port alongside the high-speed ConnectX-7 links.\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\u003eNVIDIA GB10 Grace Blackwell Superchip, 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\u003eBlackwell-generation GPU, 6,144 CUDA cores, 5th-gen Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Performance\u003c\/td\u003e\n\u003ctd\u003eUp to 1 PFLOPS FP4 (with sparsity)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e128GB unified LPDDR5x, 273GB\/s bandwidth (shared CPU\/GPU)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e4TB self-encrypting NVMe PCIe Gen5 SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNetworking\u003c\/td\u003e\n\u003ctd\u003e2x NVIDIA ConnectX-7 (200Gbps each), Gigabit LAN, Wi-Fi 7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePorts\u003c\/td\u003e\n\u003ctd\u003e4x USB 3.2 Type-C, HDMI 2.1b\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating System\u003c\/td\u003e\n\u003ctd\u003eNVIDIA DGX OS (Linux), pre-loaded with CUDA, PyTorch, NIM microservices, NeMo Framework\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSecurity\u003c\/td\u003e\n\u003ctd\u003eSelf-encrypting SSD, integrated Kensington lock slot, tamper-resistant sealed enclosure\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eForm Factor\u003c\/td\u003e\n\u003ctd\u003eMini workstation, approximately 1.2kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eClustering\u003c\/td\u003e\n\u003ctd\u003eDirect-connect two units for 405B-parameter class inference, or up to four units via a RoCE 200GbE 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\u003eInference and fine-tuning run entirely on-device: nothing touches a third-party cloud, nothing is billed per token and nothing depends on an outside provider’s availability.\u003c\/li\u003e\n\u003cli\u003eBecause CPU and GPU share the same 128GB pool, model size is not capped by discrete VRAM, so you can load large open-weight models whole and iterate on fine-tuning jobs.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eChoose the GN100 when you want a GB10 system that scales from one unit to two directly connected units, or to a four-node cluster over a RoCE switch, rather than a single-box-only setup.\u003c\/p\u003e","brand":"Acer","offers":[{"title":"Default Title","offer_id":58232537153918,"sku":"ACER-VERITON-GN100","price":1049.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1022\/4468\/0062\/files\/61ILf-VLN-L._SL1500.jpg?v=1792094023","url":"https:\/\/computahardware.net\/products\/acer-veriton-ai-mini-workstation-personal-computer-gn100-ud11-series","provider":"ComputaHardware","version":"1.0","type":"link"}