Beyond CUDA

Why the World Needs AMD for Sovereign AI with Keith Strier @ AMD

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 NVIDIA 04:55 – NVIDIA culture shock: flat & fast 07:32 – EY’s first AI practice (2016) 10:08 – Estonia & Malta AI strategies 12:56 – Launching NVIDIA’s “AI Nations” 14:30 – ChatGPT hits; Jensen pivots 17:05 – GPU land-grab by governments 19:40 – Real...

Spectral Compute CEO: Running CUDA on AMD with SCALE

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....

Automating GPU Kernels: Mako’s CEO on Crossing the CUDA Moat

Waleed Atallah from Mako joins us to discuss automating GPU kernel generation with AI. 03:07 – Why GPU kernels bottleneck progress 04:46 – Three current ways to get kernels 06:02 – LLMs: can they write fast kernels? 07:48 – Mako’s “kernel agent” in action 09:12 – Early adopters & best-fit users 12:05 – Data scarcity limits fine-tuning 16:18 – AI-written kernels by 2030? 20:27 – Top technical risks ahead #BeyondCUDA #GPUkernels #mako 🌐 Connect with us: https://www.linkedin.com/in/jtatarchuk ...

The True Story of ZLUDA: How CUDA Can Run on AMD & Intel GPUs

Listen to the story of ZLUDA directly from Andrzej Janik! From Intel beginnings to AMD, hear the untold story of running CUDA apps on non-Nvidia GPUs. Learn about the journey, challenges, and future of multi-vendor AI compute. #ZLUDA #AMD #CUDA 02:47 - What drew you into GPU software? 06:33 - Why start the ZLUDA project? 08:16 - When did you realize CUDA was viable? 09:56 - What happened at Intel? 11:45 - How did you transition to AMD? 14:58 - What are the challenges? 17:13 - Why did AMD stop fu...

How dstack is Cutting GPU Cloud Costs 3–7x with Smarter Orchestration

How we cuts cloud GPU costs 3-7x! Andrey Chepstov - CEO @ dstack (https://dstack.ai) chats with Jeff Tatarchuk on open source AI & redefining infrastructure. #AI #OpenSource #GPUs 00:29 - Intro and journey at JetBrains. 09:02 - How was dstack born? 13:14 - What are the challenges with Kubernetes? 18:36 - What problems does dstack solve? 26:21 - dstack roadmap and features. 30:25 - Open source journey and community building. 42:03 - What does Beyond CUDA mean? 🌐 Connect with us: https://www....

Koosh Azimian on AI, Biotech, and the Future of Big Pharma

Ex-Meta tech lead, on curing cancer with molecule programming! #AI #Biotech #GPUs 00:23 - What Sparked Kush's AI Journey? 00:33 - How AI Models are Built 00:43 - Can AI Cure Cancer? 01:16 - What Does Beyond Cuda Mean? 00:51 - What is Molecule Programming? 00:13 - US vs China: Who's Ahead in AI? 00:17 - What is AI Beyond LLMs? 00:22 - How Did Kush Start His Company? 🌐 Connect with us: https://www.linkedin.com/in/jtatarchuk/ https://www.linkedin.com/in/kooshiar/ (00:00) - C2003 Kooshiar Azimian -...

How Zyphra is Cutting AI Training Costs with AMD GPUs

Quentin Anthony, model training lead at Zyphradiscussing building a multimodal agent system for enterprises. He covers optimizing models, hardware, and reducing training costs. 02:45 - Oak Ridge National Lab Work 05:53 - How to make models personalizable offline? 08:13 - How do hybrid models differ? 09:38 - How to reduce training costs? 11:56 - What is Quentin excited about? 13:09 - What are the biggest challenges? 16:14 - What's next for Zyphra? #TensorWave #AMDInstinct #AICloud 🌐 Connect with...

The AMD Advantage: Anush Elangovan on Building AI Software to Compete with CUDA

No Kernels Needed for Speed with Jay Dawani @ Lumerian Labs

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. 0:12:18 - Optimizing AI Performance. 0:16:38 - Prioritize to Make Things Easier? 0:22:23 - AI's Role in Software Development. 🌐 Connect with us: https://www.linkedin.com/in/jtatarchuk https://ca.linkedin.co...

AI's Next Chapter: AMD's Big Opportunity with Gregory Diamos @ ScalarLM

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 is Nvidia's Moat? 13:45 - AMD's Accelerators 17:35 - More People Using AMD #CUDA #AMD #AI 🌐 Connect with us: https://www.linkedin.com/in/jtatarchuk https://www.linkedin.com/in/gregory-diamos-1a8b9083/...