{"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 puts server-grade AI compute on your desk instead of in a data centre. Built around the NVIDIA GB10 Grace Blackwell Superchip — the same silicon at the heart of NVIDIA’s own DGX Spark platform — this compact workstation delivers up to 1 petaFLOP of FP4 AI performance in a sealed chassis you can hold in one hand. For 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, the GN100 is purpose-built for exactly that job.\u003c\/p\u003e\n\u003ch6\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003c\/h6\u003e\n\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\u003c\/strong\u003e (with sparsity) — enough throughput to run and fine-tune models with 200B+ parameters locally.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e128GB unified LPDDR5x memory\u003c\/strong\u003e shared between CPU and GPU at 273GB\/s, eliminating 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 — fast, secure local storage for models, datasets, and containers, backed by an integrated Kensington lock and 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 full NVIDIA AI stack: CUDA, PyTorch, NIM microservices, and the NeMo Framework, ready to run out of the box.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWi-Fi 7 wireless connectivity\u003c\/strong\u003e, four USB 3.2 Type-C ports, HDMI 2.1b output, and a dedicated Gigabit LAN port for standard networking alongside the high-speed ConnectX-7 links.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch6\u003e\u003cstrong\u003eBring AI Server Performance In-House\u003c\/strong\u003e\u003c\/h6\u003e\n\u003cp\u003eThe case for on-premise AI compute has never been stronger, and the GN100 was engineered specifically to answer it. Businesses working with proprietary models, regulated data, or client-confidential information can now run inference and fine-tuning entirely on-device — nothing touches a third-party cloud, nothing is billed per token, and nothing depends on an external provider’s availability. For legal, healthcare, financial services, and R\u0026amp;D teams, that combination of privacy and cost control is often the deciding factor over a subscription-based cloud AI service.\u003c\/p\u003e\n\u003cp\u003eBecause the GB10’s unified memory architecture lets the CPU and GPU share the same 128GB pool directly, the GN100 avoids the classic bottleneck of consumer GPU setups, where model size is capped by discrete VRAM. Developers get room to load large open-weight models whole, iterate on fine-tuning jobs, and run NVIDIA NIM microservices locally, all pre-configured through DGX OS so there’s no lengthy driver and framework setup before you’re productive.\u003c\/p\u003e\n\u003cp\u003eAnd when a single unit isn’t enough, the GN100 scales the way a proper AI workstation should: connect two units directly over ConnectX-7 for larger combined models, or build a four-node cluster over a RoCE switch for serious throughput — all while each unit still occupies less desk space than a small router. For teams that have outgrown a single high-end GPU workstation but aren’t ready to commission a server room, the GN100 is the practical middle step.\u003c\/p\u003e\n\u003ch4\u003e\u003cstrong\u003eSpecifications\u003c\/strong\u003e\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eProcessor:\u003c\/strong\u003e NVIDIA GB10 Grace Blackwell Superchip, 20-core Arm CPU (10x Cortex-X925 + 10x Cortex-A725)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGPU:\u003c\/strong\u003e Blackwell-generation GPU, 6,144 CUDA cores, 5th-gen Tensor Cores\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI performance:\u003c\/strong\u003e up to 1 PFLOPS FP4 (with sparsity)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory:\u003c\/strong\u003e 128GB unified LPDDR5x, 273GB\/s bandwidth (shared CPU\/GPU)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStorage:\u003c\/strong\u003e 4TB self-encrypting NVMe PCIe Gen5 SSD\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNetworking:\u003c\/strong\u003e 2x NVIDIA ConnectX-7 (200Gbps each), Gigabit LAN, Wi-Fi 7\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePorts:\u003c\/strong\u003e 4x USB 3.2 Type-C, HDMI 2.1b\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOperating system:\u003c\/strong\u003e NVIDIA DGX OS (Linux), pre-loaded with CUDA, PyTorch, NIM microservices, NeMo Framework\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSecurity:\u003c\/strong\u003e self-encrypting SSD, integrated Kensington lock slot, tamper-resistant sealed enclosure\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eForm factor:\u003c\/strong\u003e mini workstation, approximately 1.2kg\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eClustering:\u003c\/strong\u003e direct-connect two units for 405B-parameter class inference, or up to four units via a RoCE 200GbE switch\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Acer","offers":[{"title":"Default Title","offer_id":66189488456029,"sku":"ACER-VERITON-GN100","price":792.21,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1080\/9321\/0973\/files\/61ILf-VLN-L._SL1500.jpg?v=1791752028","url":"https:\/\/saleforgery.com\/products\/acer-veriton-ai-mini-workstation-personal-computer-gn100-ud11-series","provider":"SaleForge","version":"1.0","type":"link"}