이 에피소드의 오디오가 손상되었을 수 있습니다.
How to fix it?
이 에피소드에 관해
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
영어
미국
이 팟캐스트의 다른 에피소드
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…
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…
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…
면책 조항: 이 페이지에 포함된 팟캐스트와 작품은 TensorWave에서 가져온 것입니다. 이 팟캐스트는 소유자의 재산이며 Listen Notes, Inc.와 제휴하거나 보증하지 않습니다.
