筛选结果
16 篇排序
1:50:48EN → 简体中文
Y Combinator· 2026年10月24日为什么推理比训练重要 12 倍François Chaubard, Dan Fu, Jeff Morgan, Joe Fioti, Liangsheng Yin · Y CombinatorYC Paper Club 从一次 API 请求一路讲到 GPU kernel。Together AI、Ollama、Luminal 和 SGLang 的四场演讲认为：现在算力和钱大多压在推理服务质量上，而不只是训练 FLOPs。
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
Sequoia Capital· 2026年6月30日播客The 100x lives between the layers: Dylan Patel on co-design and a 60x yearSemiAnalysis’s founder argues that matching models, kernels, and silicon is what turns a 2x here and a 2x there into 100x, while equivalent-quality inference has gotten about 60 times cheaper in a year.
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.
2:30:06ENCognitive Revolution "How AI Changes Everything"· 2023年12月22日播客Trained on a Thirtieth of GPT-4's Tokens, Mamba Beat Transformers on Home Turf主持 Nathan LabenzIn a solo emergency episode, Nathan Labenz argues that Albert Gu and Tri Dao's selective state space model is the first architecture since 2017 that deserves to share the Transformer’s throne.
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。
3:34:03ENLex Fridman· 2023年6月2日播客 · 2 人对谈Python Isn't Finished: Chris Lattner on Mojo and the Hardware Mess嘉宾 Chris Lattner · 主持 Lex FridmanThe LLVM creator returns to Lex Fridman to argue that Python should grow C-like performance instead of forcing people out of the language.
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.