筛选结果
16 篇排序
38:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年9月18日播客 · 2 人对谈Diffusion Will Win Inference: Stefano Ermon Bets Parallel Tokens Beat Custom Silicon主持 Sarah Guo, Elad GilThe Stanford diffusion pioneer tells No Priors why a 50-person lab is training language models that generate many tokens at once — and why that maps to GPUs the way transformers once mapped to training.
1:10:15EN → 简体中文
Sequoia Capital· 2026年6月30日播客100 倍藏在各层之间：Dylan Patel 谈协同设计，以及一年降本 60 倍SemiAnalysis 创始人认为，让模型、算子和芯片彼此匹配，才能把这里的 2 倍、那里的 2 倍叠加成 100 倍；与此同时，同等质量的推理（inference）成本一年里便宜了约 60 倍。
59:06EN
Unsupervised Learning: With Jacob Effron· 2025年9月10日播客Inference Costs Fell 100x. Tri Dao Says There's Another 10x — and NVIDIA's 90% Won't Hold主持 Jacob EffronThe FlashAttention author and Together AI chief scientist on why hardware portability is a myth, how Claude Code made him 1.5x faster, and why workloads will split the chip market.
46:35ENSequoia Capital· 2024年11月13日播客They trained a real-time video model in 20 hours and skipped the game engineDecart CEO Dean Leitersdorf tells Sequoia how Oasis runs live on H100s, why ChatGPT is a fallen wall rather than a pain point, and why the next trillion-dollar company may be a generated experience.
36:49ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年11月7日播客 · 2 人对谈Jensen Huang: NVIDIA Is No Longer Building Computers. It Is Building AI Factories主持 Sarah Guo, Elad GilOn No Priors, NVIDIA’s CEO walks through hyper Moore’s law, NVLink, a 100,000-GPU cluster stood up in weeks, and why tokens are the new commodity.
39:18ENSequoia Capital· 2024年8月13日播客Open and Closed Will Tie at the Same Size: PyTorch's Former Lead on Fast InferenceA six-month library swap at Meta became a five-year rebuild. Lin Qiao wants the rest of the industry to get that stack in five weeks.
1:52:18EN
Cognitive Revolution "How AI Changes Everything"· 2024年5月6日播客Two Weeks, Thirty Compiles: How Adam Majmudar Wrote a GPU From Scratch主持 Nathan LabenzA Cognitive Revolution walkthrough of TinyGPU, from SIMD kernels and memory latency to an open-source chip flow that runs on a laptop.
1:42:17ENCognitive Revolution "How AI Changes Everything"· 2024年4月20日播客The Cheapest Inference Provider Is the Most Dangerous主持 Nathan LabenzFireworks AI cofounders Lin Qiao and Dmytro Ivchenko explain why subsidized GPU bills vanish, how LoRA serving can cut cost a hundredfold, and why OpenAI is the rival that actually matters.
38:33ENNo Priors: AI, Machine Learning, Tech, & Startups· 2024年3月21日播客 · 2 人对谈Speed Is the Thing You Can Buy: Baseten’s Bet on Inference主持 Sarah Guo, Elad GilTuhin Srivastava tells Sarah Guo and Elad Gil why a six-person chatbot company running a billion tokens a day should not be building its own serving stack.
2:30:06EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2023年12月22日播客训练 token 只有 GPT-4 的三十分之一，Mamba 在 Transformer 的主场赢了主持 Nathan Labenz在一期单人紧急节目中，Nathan Labenz 认为，Albert Gu 和 Tri Dao 提出的选择性状态空间模型，是 2017 年以来第一个有资格与 Transformer 分享王座的架构。
3:08:46EN → 简体中文
Lex Fridman· 2023年6月29日播客 · 2 人对谈谁掌握关机开关？George Hotz 谈 tinygrad、开源 AI 与上帝嘉宾 George Hotz · 主持 Lex Fridman这是他第三次做客 Lex Fridman 的播客。comma.ai 和 tiny corp 的创始人主张，算力、智能和关机开关应当留在普通人家里，而不是掌握在少数可信之人手中。
3:34:03EN → 简体中文Lex Fridman· 2023年6月2日播客 · 2 人对谈Python 还没有完成：Chris Lattner 谈 Mojo 与硬件的乱局嘉宾 Chris Lattner · 主持 Lex FridmanLLVM 的创造者重返 Lex Fridman 的节目，主张 Python 应当获得接近 C 的性能，而非被迫让人离开这门语言。
52:11ENNo Priors: AI, Machine Learning, Tech, & Startups· 2023年4月20日播客 · 2 人对谈Jensen Huang: For 25 Years, 99 Percent Were Right. NVIDIA Bet on the 1 Percent主持 Sarah Guo, Elad GilThe NVIDIA CEO tells No Priors how CUDA survived a decade without customers, why the company tries to stay lazy, and what he wants built for drugs and climate.
1:44:11EN → 简体中文Lex Fridman· 2019年8月27日播客 · 2 人对谈一块 GPU 就够了：Jeremy Howard 谈如何教深度学习嘉宾 Jeremy Howard · 主持 Lex Fridmanfast.ai 创始人在与 Lex Fridman 的对话中说，真正决定深度学习（deep learning）能否帮到人的，是领域专家，再多的论文或 TPU 都无济于事。
1:01:23EN
Citadel Securities播客Jensen Huang on AI Factories, Digital Workers and Why the Build-Out Has Barely BegunNvidia's CEO tells a room of institutional investors how accelerated computing led to AI factories, and where agentic AI, robotics and sovereign AI go next.
17:19ENLex Fridman播客 · 2 人对谈From Atoms to Data Centers: How a Modern Processor Finds Parallelism in a Serial Program嘉宾 Jim Keller · 主持 Lex FridmanJim Keller walks through the layers of abstraction in computer design, from transistors to out-of-order execution, branch prediction and deterministic answers.