CUDA
parallel computing platform and programming model
What podcasters actually say about CUDA.
33 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.