关于这一集

英语
美国

播客笔记 🔗

文字稿 🔗

搜索以前的节目

搜索Beyond CUDA以前的节目。

本播客中的其他单集

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...
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...
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 & fast07:3...
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 - Wh...
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...
免责声明: 本页面嵌入的播客和封面图片来自 TensorWave,归其所有者所有,与 Listen Notes, Inc. 无关联,也未获得 Listen Notes, Inc. 背书。