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Beyond CUDA

TensorWave
CUDA
AMD
Cancer Treatment
NVIDIA
AI Development
Intel
Dstack
Zluda
Biotechnology
Kubernetes
AI Workloads
Jetbrains
Zyphra
Open Source
Scale Toolkit
Sovereign AI
GPU Kernels
Deep Learning
Lemurian Labs
AI Software

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.

PublishesDailyEpisodes10Founded2 months ago
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BusinessTechnology

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Artwork for Beyond CUDA

Latest Episodes

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

01:0... more

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:... more

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 ... more

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 more

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Recent Guests

Waleed Atallah
Co-founder and CEO of Mako, focusing on automating GPU kernel generation.
Mako
Episode: Automating GPU Kernels: Mako’s CEO on Crossing the CUDA Moat
Michael Sondergaard
Founder and CEO of Spectral Compute
Spectral Compute
Episode: Spectral Compute CEO: Running CUDA on AMD with SCALE
Andrzej Janik
Developer behind Zluda, a tool for running CUDA applications on non-NVIDIA GPUs.
Episode: The True Story of ZLUDA: How CUDA Can Run on AMD & Intel GPUs
Keith Strier
SVP of Global AI Markets at AMD
AMD
Episode: Why the World Needs AMD for Sovereign AI with Keith Strier @ AMD
Andrey Chepstov
Founder and CEO of Dstack, an open-source orchestration platform for AI workloads
Dstack
Episode: How dstack is Cutting GPU Cloud Costs 3–7x with Smarter Orchestration
Quentin Anthony
Model training lead at Zyphra
Zyphra
Episode: How Zyphra is Cutting AI Training Costs with AMD GPUs
Anush Elangovan
Corporate VP of AI software at AMD, co-founder of Nod AI
AMD
Episode: The AMD Advantage: Anush Elangovan on Building AI Software to Compete with CUDA
Jay Dawani
Co-founder and CEO of Lemurian Labs
Lemurian Labs
Episode: No Kernels Needed for Speed with Jay Dawani @ Lumerian Labs

Host

Jeff Tatarchuk
Co-founder of TensorWave and host focusing on the future of AI infrastructure and innovation.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#190
Austria/Technology

Talking Points

Recent interactions between the hosts and their guests.

Spectral Compute CEO: Running CUDA on AMD with SCALE
Q: What do you see as some of the lowest-hanging fruit opportunities that should be attacked in the beginning in order to make compute GPU development more accessible?
There are a bunch of libraries out there already that people can use, and we'd like to see them get more active development in the open.
Spectral Compute CEO: Running CUDA on AMD with SCALE
Q: What are some of the things you're currently focused on at Spectral and with the Scale Toolkit?
Currently, we are focused on compatibility enhancements with the latest release of Scale and are about to do another compatibility-focused release.
No Kernels Needed for Speed with Jay Dawani @ Lumerian Labs
Q: What is the one thing you would prioritize to make things easier in AI?
Better memory is crucial, as many problems get easier when memory is less of a bottleneck.
No Kernels Needed for Speed with Jay Dawani @ Lumerian Labs
Q: What needs to happen for AI to become more accessible and performant?
We need to redesign the software and programming models to optimize for the global state rather than focusing solely on lower-level kernel optimizations.
How dstack is Cutting GPU Cloud Costs 3–7x with Smarter Orchestration
Q: Is Dstack a complete replacement for Kubernetes?
Dstack is not meant to replace Kubernetes but serves as an orchestrator that can run on top of Kubernetes for enhanced functionality.

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Frequently Asked Questions About Beyond CUDA

What is Beyond CUDA about and what kind of topics does it cover?

Focusing on the rapidly evolving landscape of AI infrastructure, this show explores the challenges and innovations presented by industry leaders, developers, and entrepreneurs. Discussions often center around GPU development, the emergence of open-source alternatives, and advancements in technologies that facilitate AI model deployment and optimization. Notable topics include the challenges of CUDA, the role of AI in scientific innovations, and how companies are striving to create more accessible and efficient tools for developers. Listeners can expect insights from a variety of influential voices, making it a valuable resource for those interested in the technological shifts transforming AI beyond traditional barriers.

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How many episodes of Beyond CUDA are there?

Beyond CUDA launched 2 months ago and published 10 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Beyond CUDA?

Recent guests on Beyond CUDA include:

1. Waleed Atallah
2. Michael Sondergaard
3. Andrzej Janik
4. Keith Strier
5. Andrey Chepstov
6. Quentin Anthony
7. Anush Elangovan
8. Jay Dawani

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