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Workgroup Appliance for the Age of AI

With DGX Station A100, organizations can provide multiple users with a centralized AI resource for all workloads—training, inference, data analytics—that delivers an immediate on-ramp to NVIDIA DGX-based infrastructure and works alongside other NVIDIA-Certified Systems. And with Multi-Instance GPU (MIG), it’s possible to allocate up to 28 separate GPU devices to individual users and jobs.

Data Center Performance without the Data Center

NVIDIA DGX Station A100 brings AI supercomputing to data
science teams, offering data center technology without a data
center or additional IT infrastructure. Designed for multiple,
simultaneous users, DGX Station A100 leverages server-grade
components in an office-friendly form factor. It’s the only
system with four fully interconnected and Multi-Instance
GPU (MIG)-capable NVIDIA A100 Tensor Core GPUs with up
to 320 GB of total GPU memory that can plug into a standard
power outlet, resulting in a powerful AI appliance that you can
place anywhere.

Bigger Models, Faster Answers

NVIDIA DGX Station A100 isn’t a workstation. It’s an AI workgroup server that can sit under your desk. In addition to it’s 64-core, data center-grade CPU, it features the same NVIDIA A100 Tensor Core GPUs as the NVIDIA DGX A100 server, with either 40 or 80 GB of GPU memory each, connected via high-speed SXM4. NVIDIA DGX Station A100 is the only office-friendly system that has four fully interconnected GPUs, leveraging NVIDIA NVLink, and that supports MIG, delivering up to 28 separate GPU devices for parallel jobs and mupltiple users without impacting system performance.

High-Performance Computing

High-performance computing (HPC) is one of the most essential tools fueling the advancement of science. Optimizing over 700 applications across a broad range of domains, NVIDIA GPUs are the engine of the modern HPC data center. Equipped with four NVIDIA A100 Tensor Core GPUs, DGX Station A100 is the perfect system for developers to test out scientific workloads before deploying on their HPC clusters, enabling them to deliver breakthrough performance at the office or even from home.

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