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Trademark entry reveals the NVIDIA DGX A100: The first GA100 Ampere-based deep learning workstation

A DGX A100 trademark entry points to the existence of the first Ampere-based workstation. (Pictured: NVIDIA DGX-2 Source: NVIDIA)
A DGX A100 trademark entry points to the existence of the first Ampere-based workstation. (Pictured: NVIDIA DGX-2 Source: NVIDIA)
A trademark entry for an NVIDIA deep learning workstation called the DGX A100 has surfaced. The DGX A100 could feature anywhere from eight to 16 of the upcoming GA100 Ampere GPUs with 8,192 CUDA cores. NVIDIA is expected to talk more about Ampere during its rescheduled GTC 2020 keynote on May 14.
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NVIDIA had to cancel its GTC 2020 event owing to the COVID-19 pandemic, but the company would be releasing a pre-recorded keynote on May 14 in which Jensen Huang is expected to delve deep into the upcoming Ampere GPU architecture.

So far, we've been seeing several leaked references to the upcoming Ampere GPUs such as the purported RTX 3080. Now, an entry in the Justia trademark database points to a new NVIDIA deep learning workstation powered by Ampere called the DGX A100. 

This is the first time we are seeing a reference to a DGX A100 based on a GA100 GPU indicating that this is indeed an Ampere workstation. The trademark entry does not offer any details pertaining to the workstation or the GPU itself, but Videocardz expects it to feature at least eight Tesla A100 computing units similar to the DGX-1 Volta. A DGX-2-esque system with up to 16 Tesla A100 units could be in the offing as well. 

There are several NVIDIA deep learning workstations already available. These include the DGX-2, DGX Station, and DGX-1 Volta based on the Volta architecture alongside the Pascal-based DGX-1 Pascal. The DGX-2 was heralded by NVIDIA as the world's largest GPU given that it features a whopping 16 Tesla V100 units that add up to 81,920 CUDA cores.

From what we gather so far, GA100 would be the monster GPU in the Ampere lineup with up to 8,192 CUDA cores, 256 RT cores, 1,024 tensor cores, and a boost clock of 1,750 MHz. We have also seen evidences for Ampere parts with 7,936 and 7,552 CUDA cores on Geekbench. While the GA100 is expected to be the full deal and would likely feature in the RTX 3080 Ti, other GPUs such as the GA103 and GA104 are expected to power the RTX 3080 and RTX 3060, respectively. 

NVIDIA Ampere DGX A100 trademark entry. (Source: Justia)
NVIDIA Ampere DGX A100 trademark entry. (Source: Justia)
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Vaidyanathan Subramaniam
Vaidyanathan Subramaniam - Managing Editor - 1395 articles published on Notebookcheck since 2012
Though a cell and molecular biologist by training, I have been drawn towards computers from a very young age ever since I got my first PC in 1998. My passion for technology grew quite exponentially with the times, and it has been an incredible experience from being a much solicited source for tech advice and troubleshooting among family and friends to joining Notebookcheck in 2017 as a professional tech journalist. Now, I am a Lead Editor at Notebookcheck covering news and reviews encompassing a wide gamut of the technology landscape for Indian and global audiences. When I am not hunting for the next big story or taking complex measurements for reviews, you can find me unwinding to a nice read, listening to some soulful music, or trying out a new game.
contact me via: @Geeky_Vaidy
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> Notebook / Laptop Reviews and News > News > News Archive > Newsarchive 2020 05 > Trademark entry reveals the NVIDIA DGX A100: The first GA100 Ampere-based deep learning workstation
Vaidyanathan Subramaniam, 2020-05- 4 (Update: 2020-05- 4)