NVIDIA DGX Station A100 Offers AI Data-Center-in-a-Box


NVIDIA has launched its NVIDIA DGX Station A100 – a petascale workgroup server. The second generation of this “groundbreaking” AI system, DGX Station A100 would accelerate demanding machine learning and data science workloads for teams working in corporate offices, research facilities, labs or home offices everywhere.

Delivering 2.5 petaflops of AI performance, DGX Station A100 is a workgroup server with four of the latest NVIDIA A100 Tensor Core GPUs fully interconnected with NVIDIA NVLink. It provides up to 320GB of GPU memory to speed breakthroughs in enterprise data science and AI.

DGX Station A100 a workgroup server that supports NVIDIA’s multi-instance GPU (MIG) technology. With MIG, a single DGX Station A100 provides up to 28 separate GPU instances to run parallel jobs and support multiple users without impacting system performance.

“DGX Station A100 brings AI out of the data center with a server-class system that can plug in anywhere,” said Charlie Boyle, vice president and general manager of DGX systems at NVIDIA. “Teams of data science and AI researchers can accelerate their work using the same software stack as NVIDIA DGX A100 systems, enabling them to easily scale from development to deployment.”

Remote Management

DGX Station A100 does not require data center grade power or cooling. It is a server-class system that features the same remote management capabilities as NVIDIA DGX A100 data center systems. System administrators can easily perform any management tasks over a remote connection when data scientists and researchers are working at home or in labs.

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DGX Station A100 is available with four 80GB or 40GB NVIDIA A100 Tensor Core GPUs, providing options for data science and AI research teams to select a system according to their unique workloads and budgets.

To power complex conversational AI models like BERT Large inference, DGX Station A100 would be more than 4x faster than the previous generation DGX Station. It would also deliver nearly a 3x performance boost for BERT Large AI training.

DGX Station Powers AI Innovation

A variety of organizations around the world have adopted DGX Station to power AI and data science across industries such as education, financial services, government, healthcare and retail. Some examples of well-known users include:

  • BMW Group Production – is using NVIDIA DGX Station to explore insights faster as they develop and deploy AI models that improve operations.
  • DFKI – the German Research Center for Artificial Intelligence, is using DGX Station to build models that tackle critical challenges for society and industry, including computer vision systems that help emergency services respond rapidly to natural disasters.
  • Lockheed Martin – is using DGX Station to develop AI models that use sensor data and service logs to predict the need for maintenance to improve manufacturing uptime, increase safety for workers, and reduce operational costs.
  • Pacific Northwest National Laboratory – is using NVIDIA DGX Station to conduct federally funded research in support of national security. Focused on technological innovation in energy resiliency and national security, PNNL is a leading U.S. HPC center for scientific discovery, energy resilience, chemistry, Earth science and data analytics.
  • NTT Docomo – Japan’s leading mobile operator with over 79 million subscribers, uses DGX Station to develop innovative AI-driven services such as its image recognition solution.

GPU Memory for AI, HPC

Charlie Boyle
“DGX Station A100 brings AI out of the data center with a server-class system that can plug in anywhere,” said Charlie Boyle, vice president and general manager of DGX systems at NVIDIA.

For advanced data center workloads, DGX A100 systems will be available with the new NVIDIA A100 80GB GPUs, doubling GPU memory capacity to 640GB per system to enable AI teams to boost accuracy with larger datasets and models.

The new NVIDIA DGX A100 640GB systems can also be integrated into the NVIDIA DGX SuperPOD Solution for Enterprise. It would allow organizations to build, train and deploy massive AI models on turnkey AI supercomputers available in units of 20 DGX A100 systems.

The first installments of NVIDIA DGX SuperPOD systems with DGX A100 640GB will include the Cambridge-1 supercomputer being installed in the U.K. to supercharge healthcare research, as well as the new University of Florida HiPerGator AI supercomputer that will power AI-infused discovery across the Sunshine State.


NVIDIA DGX Station A100 and NVIDIA DGX A100 640GB systems will be available this quarter through NVIDIA Partner Network resellers worldwide. An upgrade option is available for NVIDIA DGX A100 320GB customers.