Exxact Valence NVIDIA DGX Station™ - 1x NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip - VWS-117032084
The Valence VWS-117032084 is an NVIDIA DGX Station™ supporting 1x NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip with up to 496GB LPDDR5X CPU memory and up to 252GB HBM3e GPU memory.
The Ultimate Deskside AI Supercomputer
Designed for developers, researchers, and data scientists, NVIDIA® DGX Station™ delivers data center–class AI performance at your desk, enabling teams to prototype, fine-tune, and inference large-scale generative AI models quickly and securely, then seamlessly scale and deploy across DGX Cloud, data center, or other accelerated infrastructure for production-ready workflows.
- NVIDIA GB300 Grace Blackwell Ultra Superchip with 748GB coherent memory.
- Grace CPU and Blackwell Ultra GPU connected via NVLink™-C2C for ultra-fast communication.
- NVIDIA ConnectX®-8 SuperNIC™ with support up to 800Gb/s networking.
- Preloaded NVIDIA DGX OS with Ubuntu Linux and integrated AI software stack.
- Fully compatible with common AI tools like PyTorch, Jupyter, and Ollama.
About
The Valence VWS-117032084 is an NVIDIA DGX Station™ supporting 1x NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip with up to 496GB LPDDR5X CPU memory and up to 252GB HBM3e GPU memory.
The Ultimate Deskside AI Supercomputer
Designed for developers, researchers, and data scientists, NVIDIA® DGX Station™ delivers data center–class AI performance at your desk, enabling teams to prototype, fine-tune, and inference large-scale generative AI models quickly and securely, then seamlessly scale and deploy across DGX Cloud, data center, or other accelerated infrastructure for production-ready workflows.
- NVIDIA GB300 Grace Blackwell Ultra Superchip with 748GB coherent memory.
- Grace CPU and Blackwell Ultra GPU connected via NVLink™-C2C for ultra-fast communication.
- NVIDIA ConnectX®-8 SuperNIC™ with support up to 800Gb/s networking.
- Preloaded NVIDIA DGX OS with Ubuntu Linux and integrated AI software stack.
- Fully compatible with common AI tools like PyTorch, Jupyter, and Ollama.