
Ep 11: Future of AI Computing and How to Build & Nurture Hardware Teams with Jim Keller, Tenstorrent
Computer Architecture Podcast
00:00
Is There a Need for a More Unified View of ML and AI?
NVIDIA CEO: Current software structure is somewhat archaic and complicated, but built on well founded things like GPUs accelerating graphics programs have been solid for years. But the running AI program you need something like four programming models before you even write a PyTorch program. It's kind of amazing. And yeah, it's fairly complicated. Now, if you had a really, really fast computer that ran AI, you know, those layers would go away. And but we don't have that computer yet. So where do you feel like it will land? Because it seems one of the tricky questions is from the programmer perspective, there's a huge amount of data to photograph.
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