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What podcasts say about CUDA

Every statement, with the speaker, the exact quote and the moment it was said.

What experts have said about CUDA

3 statements · 2 positive · 1 negative

  1. CUDA is no longer a meaningful moat for AI inference.

    “CUDA as the inference time mode is already dead.”

    Listen at 1:33:07

    Open the episode · NVIDIA's $96.2B Quarter, China's 200,000 Fake Accounts, & OpenAI's New Chip | EP #284
  2. Jen-Hsun HuangPositiveApr 15, 2026· Dwarkesh Podcast

    CUDA’s ecosystem, install base, and cloud availability make it exceptionally valuable.

    “that combination makes CUDA invaluable.”

    Listen at 29:12

    Open the episode · Jensen Huang – TPU competition, why we should sell chips to China, & Nvidia’s supply chain moat
  3. Jen-Hsun HuangPositiveMar 23, 2026· Lex Fridman Podcast

    CUDA’s flexibility has allowed it to remain resilient while adapting to new algorithms.

    “CUDA has been so resilient on the one hand, and yet we continue to enhance it”

    Listen at 36:40

    Open the episode · #494 – Jensen Huang: NVIDIA – The $4 Trillion Company & the AI Revolution

Statements are attributed to the speaker as said on the episode and reflect their view at the time, not PodLume's. They are not advice.

CUDA: what podcasts say · PodLume