Beyond CUDA is where the future of AI infrastructure gets real. Hosted by Jeff Tatarchuk, co-founder of TensorWave, the show dives deep with the founders, developers, and investors redefining how AI is built and scaled. From bleeding-edge models to open-source breakthroughs, Jeff unpacks the tech, tactics, and people shaping what’s next—beyond the NVIDIA-dominated status quo.
Latest Episodes
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...
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 progress04:46 – Three current ways to get kern...
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...
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 ...
Koosh Azimian on AI, Biotech, and the Future of Big Pharma
Ex-Meta tech lead, on curing cancer with molecule programming!#AI #Biotech #GPUs00:23 - What Sparked Kush's AI Journey?00:33 - How AI Models are Built00:43 - Can AI Cu...
