
Acer Veriton GN100 AI Mini Workstation
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The Veriton GN100 is a desktop-sized AI workstation built on NVIDIA's GB10 Grace Blackwell Superchip, rated at 1 petaFLOP of FP4 performance. It pairs a 20-core Arm CPU with a Blackwell GPU and 128GB of unified LPDDR5X memory, so large models can run locally without splitting work across separate CPU and GPU memory pools. A 2TB self-encrypting NVMe SSD and a ConnectX-7 SmartNIC support sensitive datasets and linking two units for models up to 405B parameters. It suits developers, researchers and small labs that want local AI compute in a small, quiet box rather than a rack server or a cloud subscription.
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The Acer Veriton GN100 AI Mini Workstation (VGN100-UD13) is a compact desktop AI computer built around the NVIDIA GB10 Grace Blackwell Superchip. It delivers up to 1 petaFLOP of FP4 AI performance in a 150×150mm chassis that weighs under 1.5 kg. The chip pairs a 20-core ARM CPU with a Blackwell GPU that has 5th-generation Tensor Cores and 4th-generation RT cores.
It has 128GB of LPDDR5X unified memory on a 256-bit bus, shared between the CPU and GPU, for running large language models, fine-tuning and multi-modal AI workloads locally. A 2TB self-encrypting NVMe SSD stores datasets and model checkpoints.
The NVIDIA ConnectX-7 SmartNIC lets two units be linked for multi-node scaling, supporting models up to 405 billion parameters. NVIDIA DGX OS comes pre-configured with PyTorch, Jupyter, Ollama and NVIDIA developer tools. Wi-Fi 7, Bluetooth 5.4 and a Kensington lock slot are included.
