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There’s a lot of words and vendors here I’ve never heard of. Is this a legit rundown of a growing field, or is this Nvidia pitching me all their partners?
The lifecycle diagram is legit. As for the vendors, Nvidia is just promoting their own services or their partners. But there aren't any established players yet. It's still a nascent field.
Sounds about right to me.
I wish Nvidia would put more work into making sure that its stable software packages work together with other stable software. I have a laptop that's more than 1 year old with tensor cores (RTX 2070), but it's still not supported on stable Windows. I had to install dev channel MS Windows + subsystem for linux 2 + NVidia CUDA 10.2 (an old version of the NVIDIA driver) to be able to run mixed precision training on my N…
These are problems of third parties, not Nvidia. Every game that runs on Linux gets full graphics acceleration. As for Windows, PyTorch AMP allows for mixed precision training on native windows through conda, no apex needed. And of course, the same APIs from Nvidia are available on both.
There’s a lot of words and vendors here I’ve never heard of. Is this a legit rundown of a growing field, or is this Nvidia pitching me all their partners?
It looks like the "Data Fixes" section could introduce bias. "Select the right data" reminds me of researchers cherry-picking data for papers.
"Select the right data" just means don't try to do something silly like predict 2021 housing prices in Ann Arbor using historical data for Pittsburgh from 1980-2007.