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Today NVIDIA unveiled the NVIDIA DGX A100 AI system, delivering 5 petaflops of AI performance and consolidating the power and capabilities of an entire data center into a single flexible platform.
NVIDIA is calling the newly announced DGX A100 "the world's most advanced system for all AI workloads" and claiming a single rack of five DGX A100 systems can replace an entire AI training and ...
We don't know what else might be under the bonnet in a Nvidia DGX A100 'Ampere' deep learning system other than a number of the Tesla A100 processor cards, based on the GA100 GPU.
Available in cluster sizes ranging from 20 to 140 individual NVIDIA DGX A100™ systems, DGX SuperPODs are now shipping and expected to be installed in Korea, the U.K., Sweden and India before the ...
DGX A100 provides two times the performance at half the price as compared to the previous generation DGX-2 system. A DGX SuperPOD rack cluster using 20 DGX A100 interconnected nodes in a five rack ...
Immediately available, DGX A100 systems have begun shipping worldwide, with the first order going to the U.S. Department of Energy’ s Argonne National Laboratory, which will use the cluster’ s ...
Each NVIDIA DGX A100 system features eight NVIDIA A100 Tensor Core GPUs for unprecedented acceleration at every scale to power the world’s highest-performing elastic data centers for AI, data ...
The DGX A100 has a total of eight A100 GPUs, along with 320GB of memory (12.4TB per second in bandwidth). The system is also equipped with Mellanox HDR 200Gbps interconnects.
Those Zen 2 CPUs, running at up to 3.4 GHz, give the system a total of 128 cores and 256 threads. Because of the partnership, Nvidia has allowed AMD to share further details of the DGX A100 system.
The system's nine 200Gbps Mellanox interconnects make it possible to cluster multiple DGX A100s—but those whose budget won't support lots of $200,000 GPU nodes can make do by partitioning the ...
However, despite the change in CPU vendor between the first two DGX systems and the new DGX A100, customers won't notice a difference, except for improved performance, according to Boyle.
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