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

World’s Only Petascale Integrated AI Workgroup Server, Second-Gen DGX Station Packs Four NVIDIA A100 GPUs, Debuts with up to 320GB of GPU Memory to Bring AI into Offices and Labs.

The NVIDIA DGX StationTM A100, the world's only petascale workgroup server, was announced by NVIDIA. DGX Station A100, the second generation of the groundbreaking AI system, speeds up demanding workloads in machine learning and data science for teams working in corporate offices, research facilities, laboratories or home offices everywhere.

DGX Station A100 is the only workgroup server to deliver 2.5 petaflops of AI performance, with four of the latest NVIDIA® A100 Tensor Core GPUs fully interconnected with NVIDIA NVLink®, providing up to 320 GB of GPU memory to accelerate enterprise data science and AI breakthroughs.

DGX Station A100 is also the only 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.”

DGX Station Powers AI Innovation 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. These AI leaders 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.

While the DGX Station A100 does not require power or cooling from the data centre, it is a server-class system with the same remote management capabilities as the NVIDIA DGX A100 data centre systems. When data scientists and researchers are working at home or in labs, system administrators can easily perform any management tasks over a remote connection.

Four 80GB or 40GB NVIDIA A100 Tensor Core GPUs are available on DGX Station A100, providing options for data science and AI research teams to select a system based on their unique workloads and budgets.

To power complex conversational AI models like BERT Large inference, DGX Station A100 is more than 4x faster than the previous generation DGX Station. For BERT Large AI training, it delivers nearly a 3x performance boost.

Doubling Down on GPU Memory for AI, HPC

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.

It is also possible to integrate the new NVIDIA DGX A100 640GB systems into the NVIDIA DGX SuperPODTM Enterprise solution, enabling organisations to build, train and deploy massive AI models on turnkey AI supercomputers available in units of 20 DGX A100 systems.

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

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.


Article Edited and Republished for CTen by Suraj Maity