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1:04:26EN
Sequoia Capital· 6 oct. 2026PodcastAt 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.Infrastructure et déploiementAI cost & performanceInference+3
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Sequoia Capital· 25 août 2026PodcastHuman 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.AgentsSearch & retrievalIngénierie d’agents+3
55:19EN
Sequoia Capital· 7 juil. 2026PodcastThe drone is 15% of Zipline: 140 million miles, zero incidentsKeller Rinaudo Cliffton and Eric Watson explain why the aircraft is the small part of an automated logistics system now cheaper than a car.Infrastructure et déploiementRoboticsAutonomous Systems+3
1:10:15EN
Sequoia Capital· 30 juin 2026PodcastThe 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.Infrastructure et déploiementInferenceBenchmarks+3
41:20EN
Sequoia Capital· 10 juin 2026PodcastA $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.Infrastructure et déploiementAI StrategyAI cost & performance+3
45:33EN
Sequoia Capital· 26 mai 2026PodcastCursor 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.Infrastructure et déploiementDistributed training & inferenceReinforcement Learning+3
44:19EN
Sequoia Capital· 17 mars 2026PodcastThe $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.Infrastructure et déploiementInferenceAI cost & performance+2
40:56EN
Sequoia Capital· 10 mars 2026PodcastFour of the Top Five Defense Primes Still Run Hardware Tests on PowerPointNominal’s cofounders argue that hardware never got the last twenty years of software infrastructure, and that physical AI will stall until test data lives in one place.Infrastructure et déploiementData quality & curationObservabilité et fiabilité+3
44:46EN
Sequoia Capital· 10 févr. 2026PodcastA Single Training Environment Can Cost Millions. Prime Intellect Wants a GitHub for RLWill Brown and Johannes Hagemann argue that the eval suite you already use to test agents is one step away from a training set.Open source et communautéRL environments & simulatorsÉvaluations+3
37:00EN
Sequoia Capital· 14 janv. 2026PodcastThe 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.Infrastructure et déploiementReinforcement LearningAI startups & small teams+3
38:21EN
Sequoia Capital· 16 déc. 2025PodcastHow 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.Entreprise et stratégieCompany BuildingInfrastructure et déploiement+3
1:02:19EN
Sequoia Capital· 10 déc. 2025PodcastA 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.Infrastructure et déploiementGenerative mediaVision et vidéo+3
41:32EN
Sequoia Capital· 28 oct. 2025PodcastMoore'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.Infrastructure et déploiementDistributed training & inferenceInference+2
1:01:00EN
Sequoia Capital· 5 août 2025Podcastv0 Hit 3 Million Users. Vercel’s CEO Says Pages Will Be Generated On Demand Within Five YearsFor a company that sells cloud hosting and frontend tools, one of the fastest-growing signup channels is ChatGPT.Infrastructure et déploiementAgents de codeProduct Strategy+3
40:33EN
Sequoia Capital· 24 juin 2025PodcastFifty People in Slack. Four Minutes to the Smoking Gun.Traversal's co-founders on turning DevOps heart attacks into agent-run root cause analysis — and why observability's second-largest software spend still leaves troubleshooting as a whodunit.Évaluations et observabilitéObservabilité et fiabilitéIngénierie d’agents+3
50:33EN
Sequoia Capital· 20 août 2024PodcastThe 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.Infrastructure et déploiementReinforcement LearningData quality & curation+3
39:18EN
Sequoia Capital· 13 août 2024PodcastOpen 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.Infrastructure et déploiementInferenceFine-tuning+3