Acer Veriton AI Mini Workstation GN100-UD11 hits new low at $3872.61

Down $1134.39 from the usual price.

Acer Veriton AI Mini Workstation GN100-UD11 NVIDIA drops to $3872.61 - save $1134.39. This 23% discount brings a 1 PFLOP NVIDIA GB10 Grace Blackwell Superchip workstation to its best price yet, undercutting the 30-day average of $3912.03 by roughly $40. For AI engineers and researchers running 200B+ parameter models locally. This is the kind of hardware discount that rarely appears outside direct enterprise channels.

THE DEAL

Acer Veriton AI Mini Workstation GN100-UD11 NVIDIA

$3872.61 (was $5007) - Save $1134.39 (23% off)

WhereAmazon

ExpiresNo end date listed

Get This Price

For just $3872.61, down from its list price of $5007. This is the lowest price on record for the GN100 workstation. The 90-day and 180-day averages both sit at $3924.29, so this cut represents genuine savings below the prevailing market rate.

If you have been tracking this machine since its launch. This is the moment to act.

What You're Getting

The GN100 runs on the NVIDIA GB10 Grace Blackwell Superchip, pairing a 20-core Arm CPU with a Blackwell GPU packing fifth-generation Tensor Cores for 1 PFLOP of FP4 AI performance with sparsity. A unified 128GB pool of LPDDR5X-8533 memory over NVLink-C2C eliminates CPU-GPU bottlenecks, letting you load 200B+ parameter models locally without choking a standard desktop.

Pre-installed NVIDIA DGX OS gives you the full AI stack out of the box: CUDA, PyTorch, NIM microservices, and the NeMo Framework. Two 200Gbps ConnectX-7 ports let you daisy-chain a second GN100 for 405B-parameter inference or link up to four units in a clustered setup.

Storage comes via a 4TB self-encrypting NVMe SSD, and the sealed 1.2kg chassis keeps regulated data on-device. Independent testing by StorageReview (March 2026) confirms GPU thermals stabilize at 69 degrees Celsius under sustained AI loads, so you get consistent performance without throttling.

Who This Is For

Best for AI engineers, ML researchers, and B2B teams building and fine-tuning proprietary models on-premise. If you work with regulated data that cannot touch the cloud or need to prototype reasoning models locally before deploying to DGX infrastructure, this machine handles workflows that would require multiple GPU-equipped desktops.

Skip this if a standard workstation meets your needs or if your workloads fit within consumer GPU memory limits.

Final Verdict

The combination of unified 128GB memory, 1 PFLOP AI performance, and a sub-$3900 price makes the GN100 the most cost-effective entry point for local large-model development. If you need enterprise-grade AI compute without the data center markup. This is the price to move on.