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1:04:26EN
Sequoia Capital· 2026년 10월 6일팟캐스트At 100,000 Accelerators, Something Fails Every HourGoogle AI infrastructure chief Amin Vahdat tells Sequoia's Sonya Huang why FLOPS is a vanity metric, why the TPU line split in two, and why he would rather wait on a utility than build his own gigawatt.인프라와 배포AI cost & performanceInference+3
55:19EN
Sequoia Capital· 2026년 8월 25일팟캐스트Human Click Data Is a Bug: Rebuilding Search for a Web of AgentsParag Agrawal, former Twitter CEO and founder of Parallel Web Systems, argues that agents will query the web a thousand times more than people, and that both search infrastructure and the ad-supported internet have to be rebuilt for that customer.에이전트Search & retrieval에이전트 엔지니어링+3
1:10:15EN
Sequoia Capital· 2026년 6월 30일팟캐스트The 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.인프라와 배포InferenceBenchmarks+3
41:20EN
Sequoia Capital· 2026년 6월 10일팟캐스트A $4 Million Cabinet and a Trillion-Dollar Year: Jensen Huang Turns the AI Factory Into a Manufacturing StoryOn Sequoia's Training Data stage, NVIDIA's CEO walks a sixty-country audience from ChatGPT's parlor tricks to agentic work, a five-layer industrial cake, and why radiology hiring went up.인프라와 배포AI StrategyAI cost & performance+3
45:33EN
Sequoia Capital· 2026년 5월 26일팟캐스트Cursor Ships 1TB of Composer Weights Across Oceans in Under a MinuteFederico Cassano and Fireworks' Dima walk through the globally split RL stack that trained Composer 2 on a sparse trillion-parameter MoE.인프라와 배포Distributed training & inferenceReinforcement Learning+3
44:19EN
Sequoia Capital· 2026년 3월 17일팟캐스트The $500-per-Kilogram Line: Why Starcloud Thinks Data Centers Belong in SpaceStarcloud founder Philip Johnston walks through the physics, launch economics, and business model of putting AI compute in orbit.인프라와 배포InferenceAI cost & performance+2
37:00EN
Sequoia Capital· 2026년 1월 14일팟캐스트The AlphaChip Team That Laid Out Four TPUs Now Wants Every Company to Be DesignlessAnna Goldie and Azalia Mirhoseini tell Sequoia how an RL floorplanner survived TPU-team anger, learned to draw donut-shaped macros, and became a bet that AI will design chips that then feed AI.인프라와 배포Reinforcement LearningAI startups & small teams+3
38:21EN
Sequoia Capital· 2025년 12월 16일팟캐스트How a Weekend Webcam Came to See 90 Billion Miles a YearSamsara CEO Sanjit Biswas on edge inference, messy road data, and why physical AI only counts once it is installed.기업과 전략Company Building인프라와 배포+3
1:02:19EN
Sequoia Capital· 2025년 12월 10일팟캐스트A Top Video Model's Half-Life Is 30 Days. fal Runs 600 AnywayThe fal founders tell Sequoia why generative video is a compute-bound problem that language-model shops keep underestimating, and why they will not let any customer marry a single model.인프라와 배포Generative media비전과 영상+3
41:32EN
Sequoia Capital· 2025년 10월 28일팟캐스트Moore's Law Is Slowing. Nvidia's CTO Still Wants 10× a YearMichael Kagan on why Nvidia's $7 billion Mellanox deal, not just more transistors, is how you turn a data center into one computer.인프라와 배포Distributed training & inferenceInference+2
45:30EN
Sequoia Capital· 2025년 4월 22일팟캐스트A $20,000 AI Agent Replacing a $90,000 SDR: Manny Medina on Pricing in the Agent EraA fully loaded human SDR costs $70,000 to $90,000 a year; one AI SDR pitch is $20,000 per agent for 80% of the work, plus a bonus when targets are hit.기업과 전략Pricing StrategyAI startups & small teams+3
50:33EN
Sequoia Capital· 2024년 8월 20일팟캐스트The 40% data-center save started with an email that ended in a question markPhaidra founder Jim Gao tells Sequoia how an AlphaGo-inspired bet at Google became reinforcement learning that runs billion-dollar plants.인프라와 배포Reinforcement LearningData quality & curation+3
39:18EN
Sequoia Capital· 2024년 8월 13일팟캐스트Open 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.인프라와 배포Inference파인튜닝+3
1:00:28EN
Sequoia Capital· 2024년 7월 9일팟캐스트Scaling Laws Aren't Done. Don't Lock Yourself Into Yesterday's Architecture.Microsoft CTO Kevin Scott on why the exponential is still compounding, why inference will dwarf training, and why a language model is the world's crappiest database.기업과 전략Scaling LawsInference+3