{"product_id":"acer-veriton-vgn100-ud11-dgx-spark-ai-workstation-nvidia-gb10-grace-blackwell","title":"Acer Veriton VGN100-UD11 — DGX Spark AI Workstation (NVIDIA GB10 Grace Blackwell)","description":"\u003cp\u003eThe Acer Veriton VGN100-UD11 (marketed in North America as the Veriton GN100) is Acer’s entry into the NVIDIA GB10 Grace Blackwell “personal AI supercomputer” category, the same platform underpinning NVIDIA’s own DGX Spark. It packs that platform into a workstation weighing under three pounds, with Acer’s own management software on top. It suits ML engineers and small AI teams who want DGX Spark-class local compute with Acer’s build quality, monitoring tools and support channel behind it.\u003c\/p\u003e\u003ch2\u003eWho it's for\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eML engineers running and quantizing models in the 70B–200B parameter class on their own desk\u003c\/li\u003e\n\u003cli\u003eSmall AI teams that want live visibility into GPU temperature, memory pressure and inference throughput\u003c\/li\u003e\n\u003cli\u003eDevelopers who want to move work to a DGX Spark, a DGX cluster or DGX Cloud without modification\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) fused to an integrated Blackwell GB20B GPU with 5th Gen Tensor Cores and 4th Gen RT Cores, rated for up to 1 petaFLOP of FP4 AI performance.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e128GB unified LPDDR5x memory at 273GB\/s:\u003c\/strong\u003e coherent memory shared between CPU and GPU (8533MT\/s effective), so large models load and run without the VRAM ceiling of discrete-GPU workstations.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUp to 4TB self-encrypting NVMe SSD:\u003c\/strong\u003e the top configuration ships with a 4TB Gen5-class NVMe drive; a lower-storage SKU is also available.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eConnectX-7 Smart NIC + 10GbE:\u003c\/strong\u003e dual 200Gb\/s QSFP ports for clustering multiple units to pool memory, plus a dedicated 10 Gigabit Ethernet RJ-45 port for everyday networking.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAcer Sense Pro management software:\u003c\/strong\u003e a dashboard layered on top of NVIDIA DGX OS with real-time CPU, GPU, memory and thermal monitoring, hardware tuning, inference benchmarking (tokens-per-second and time-to-first-token charts) and self-diagnostics.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFull NVIDIA DGX OS + AI stack:\u003c\/strong\u003e ships on Ubuntu 24.04 LTS for Arm with NVIDIA DGX OS, PyTorch, Jupyter and Ollama pre-installed, plus NVIDIA Sync support for remote management over the network.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePortable footprint:\u003c\/strong\u003e 5.9 x 5.9 x 2 inches and roughly 1.2kg (2.65 lbs), powered from a 240W external adapter, with 4x USB-C ports (3x USB-C 3.2 Gen2x2 at 20Gbps carrying DisplayPort 2.1, plus 1x USB-C PD-in) and HDMI 2.1 for multi-monitor visualization.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWireless and physical security:\u003c\/strong\u003e Wi-Fi 7, Bluetooth 5.4 and a Kensington lock slot for units deployed outside a locked server room.\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\u003c\/td\u003e\n\u003ctd\u003eVeriton VGN100-UD11 (Veriton GN100 AI Mini Workstation)\u003c\/td\u003e\n\u003c\/tr\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\u003e20-core Arm (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 GB20B, 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\u003eUp to 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 unified memory, 8533MT\/s, 273GB\/s bandwidth\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003eUp to 4TB self-encrypting NVMe SSD (lower-capacity SKUs available)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNetworking\u003c\/td\u003e\n\u003ctd\u003eNVIDIA ConnectX-7 Smart NIC (dual 200Gb\/s QSFP), 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 PD-in, HDMI 2.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSecurity\u003c\/td\u003e\n\u003ctd\u003eSelf-encrypting SSD, Kensington lock slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSoftware\u003c\/td\u003e\n\u003ctd\u003eNVIDIA DGX OS (Ubuntu 24.04 LTS Arm), Acer Sense Pro dashboard, NVIDIA Sync, PyTorch, Jupyter, Ollama pre-installed\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Supply\u003c\/td\u003e\n\u003ctd\u003e240W external adapter\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e5.9 x 5.9 x 2 inches (150 x 150 x 50.5mm)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003eApprox. 1.2kg (2.65 lbs)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eClustering\u003c\/td\u003e\n\u003ctd\u003eMulti-unit clustering via ConnectX-7 for pooled memory on larger model classes\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, quantization and inference machine, not a from-scratch foundation-model trainer. That workload still belongs on a cluster.\u003c\/li\u003e\n\u003cli\u003eAcer’s original launch materials cited two linked units for models up to roughly 405B parameters. Later materials reference larger multi-unit clusters for bigger model classes.\u003c\/li\u003e\n\u003cli\u003eIt runs the identical NVIDIA DGX OS and CUDA stack as other GB10-class devices.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThe silicon, memory design and DGX OS stack are the same across every GB10 system, so choose this one for Acer’s management tooling and its established enterprise support and warranty structure rather than for raw performance.\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":58232537448830,"sku":"DT.R6LAA.001","price":6499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1022\/4468\/0062\/files\/acer-veriton-vgn100-6_9b5d9941-fe4a-4c51-8351-0833dd8b3d66.jpg?v=1792094030","url":"https:\/\/computahardware.net\/products\/acer-veriton-vgn100-ud11-dgx-spark-ai-workstation-nvidia-gb10-grace-blackwell","provider":"ComputaHardware","version":"1.0","type":"link"}