CUDA
parallel computing platform and programming model
What podcasters actually say about CUDA.
40 mentions, no marketing. Save them all to a pod and ask any question.
Common Themes
Videos Mentioning CUDA
E156: Ivy League antisemitism, macro, SaaS recovery, Gemini, Figma deal delay + big Friedberg update
All-In Podcast
NVIDIA's proprietary parallel computing platform, criticized for creating a walled garden that stifles innovation and commoditization in AI.
Personal benchmarks vs HumanEval - with Nicholas Carlini of DeepMind
Latent Space
A parallel computing platform and API model created by Nvidia, mentioned as part of a complex debugging scenario.
E131: 2024 Fantasy President picks, debt ceiling agreement, Dollar dominance & more
All-In Podcast
NVIDIA's SDK becoming the de facto software layer for AI, contributing to a potential hardware lock-in and monopoly.
Jensen Huang: Nvidia's Future, Physical AI, Rise of the Agent, Inference Explosion, AI PR Crisis
All-In Podcast
NVIDIA's parallel computing platform and API, considered nearly insurmountable as a strategic advantage and essential for building AI infrastructure.
The Engineering Unlocks Behind DeepSeek | YC Decoded
Y Combinator
NVIDIA's parallel computing platform and programming model, mentioned as part of NVIDIA's integrated hardware and software solution for AI training.
Jensen Huang: NVIDIA - The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494
Lex Fridman
NVIDIA's parallel computing platform and programming model, which became the foundation for deep learning. Its strategic placement on GeForce GPUs was a critical, high-risk decision that consumed profits but built an essential installed base.
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 2: PyTorch (einops)
Stanford Online
NVIDIA's parallel computing platform and API, used here to synchronize GPU operations during benchmarking.
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 5: GPUs, TPUs
Stanford Online
A parallel computing platform and programming model developed by NVIDIA for general computing on graphical processing units.
Stanford CS336 Language Modeling from Scratch | Spring 2026 | Lecture 6: Kernels, Triton, XLA
Stanford Online
NVIDIA's parallel computing platform and programming model, originally developed for writing kernels. Triton is presented as an alternative with higher-level abstractions.
Satya Nadella on AI: @NoPriorsPodcast x Latent Space Crossover Special at Microsoft Build 2026
Latent Space
Mentioned as an example of a technology built on top of an existing platform (Um).
Former Intel CEO on What Went Wrong, What's Next + Lovable CEO on the Real Promise of Vibe Coding
All-In Podcast
NVIDIA's parallel computing platform and programming model, which enabled GPUs to be used for general-purpose computing and AI.
Multi-GPU Kernels, Intelligence per Watt, Heterogeneous Inference, and More | YC Paper Club
Y Combinator
A parallel computing platform and programming model developed by NVIDIA, discussed in the context of kernel development.
Stanford CS329A Self-Improving AI Agents | Part 2 | Test-Time Compute Scaling
Stanford Online
A programming language for parallel computing on NVIDIA GPUs, mentioned as an example where AI can translate higher-level code (like PyTorch) into lower-level code.
The Inference Frontier: 10x Faster Models to Self-Optimizing AI — Philip Kiely & Ali Taha, Baseten
Latent Space
NVIDIA's parallel computing platform and programming model, mentioned in the context of low-level GPU programming challenges.
Nvidia's New Money Machine Looks a Lot Like 2008
Tom Bilyeu
NVIDIA's parallel computing platform and programming model, noted for its ability to improve performance over time and extend the economic life of installed chips.
The Man Who Calls BS On AI: They’re LYING About AI, 2027 Is When It All Breaks! | Ed Zitron
The Diary Of A CEO
NVIDIA's software library that allows software to run on GPUs, described as foundational to the growth of generative AI.