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ОБ ЭТОМ ЭПИЗОДЕ
Learn how Spectral’s Scale toolkit breaks CUDA’s vendor lock-in by letting you run the same code on AMD GPUs with zero rewrites. This episode shows how to future-proof your stack without starting from scratch.
#GPUCloud #BeyondCUDA #TensorWave
01:05 - How did you get into GPU development?
03:39 - What is Scale?
05:35 - What are the technical hurdles?
06:34 - What are the opportunities?
07:46 - What is Spectral Focused On?
09:14 - How to break down Scale?
🌐 Connect with us:
https://www.linkedin.com/in/jtatarchuk
https://dk.linkedin.com/in/michaelsondergaard
английский
США
ДРУГИЕ ЭПИЗОДЫ В ЭТОМ ПОДКАсте
Jay Dawani from Lemurian Labs talks about GPU performance and how they're uniting the stack for accessible AI development.
#AIdevelopment #BeyondCUDA #LemurianLabs
00:49 - Why Lemurian?
02:56 - Challenges in AI and Robotics.
06:13 - Reinventing Software for AI.
08:33 - Future of AI Hardware.
0:1…
History of CUDA with Greg Diamos, an early pioneer talk about CUDA's challenges, successes, and its impact on AI. Is the CUDA moat shrinking?
00:00 - Origins of CUDA
02:15 - Greg's Early Interest
03:30 - Joining Nvidia
04:45 - Build a Faster Computer
06:30 - CUDA Dominated AI Research
08:50 - What…
Keith Strier explains the origins of sovereign AI, and why he moved from NVIDIA to AMD. He unpacks the GPU divide, silicon diversity, and why nations are now embracing open source and the ROCm ecosystem.
02:10 – Quitting 17-yr consulting for NVIDIA04:55 – NVIDIA culture shock: flat & fast07:32 …
Waleed Atallah from Mako joins us to discuss automating GPU kernel generation with AI.
03:07 – Why GPU kernels bottleneck progress04:46 – Three current ways to get kernels06:02 – LLMs: can they write fast kernels?07:48 – Mako’s “kernel agent” in action09:12 – Early adopters & best-fit users12:0…
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