Sunday, May 3rd 2020
NVIDIA DGX A100 is its "Ampere" Based Deep-learning Powerhouse
NVIDIA will give its DGX line of pre-built deep-learning research workstations its next major update in the form of the DGX A100. This system will likely pack number of the company's upcoming Tesla A100 scalar compute accelerators based on its next-generation "Ampere" architecture and "GA100" silicon. The A100 came to light though fresh trademark applications by the company. As for specs and numbers, we don't know yet. The "Volta" based DGX-2 has up to sixteen "GV100" based Tesla boards adding up to 81,920 CUDA cores and 512 GB of HBM2 memory. One can expect NVIDIA to beat this count. The leading "Ampere" part could be HPC-focused, featuring a large CUDA-, and tensor core count, besides exotic memory such as HBM2E. We should learn more about it at the upcoming GTC 2020 online event.
Source:
VideoCardz
18 Comments on NVIDIA DGX A100 is its "Ampere" Based Deep-learning Powerhouse
No specs awwwe.
Faster consumer based cards will come in due course, but they already have the fastest, so no biggy.
They have no reason whatsoever to do so.
CDNA will be matching Ampere.
It covers only the enthusiast segment of its own fanbase and nobody else.
Which is not 90% but 5% of AMD's customers.
AMD manipulates the market with something that nobody needs- Navi 10.
The games most people play (PUBG, Fortnite, League of Legends, DOTA2, etc.) don't support RTX features at all.
Not representative for the whole world, because most other people don't spend as much, and carry on with much lower-end hardware.