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I feel like very few ML researchers actually use CUDA. You'd likely get a long way with an optimised backend for XLA to cover tf/jax, probably something similar
by fancyfredbot 4y ago
I feel like very few ML researchers actually use CUDA. You'd likely get a long way with an optimised backend for XLA to cover tf/jax, probably something similar for pytorch. That's a lot of work but not sure it's a whole decade.
- synergy20 4y agoNot sure if that's entirely tree. CUDA has 85% or more of the market share last time I checked, intel's OneAPI and AMD's ROMA? are so behind that made their Machine learning hardware totally uninteresting for ML related purchases, sadly.