Baseten CEO Tuhin Srivastava on Custom Models, and Building the Inference Cloud

No Priors: AI, Machine Learning, Tech, & Startups · Intermediate ·🚀 Entrepreneurship & Startups ·1w ago
Baseten CEO and co-founder Tuhin Srivastava sits down with Sarah Guo and Elad Gil to discuss the rapid growth of AI inference demand, Baseten’s 30x growth, and why inference is becoming the strategic “last market.” Tuhin Srivastava argues the application layer will persist because companies with unique user signals can encode value into workflows and post-train specialized models, citing examples like Abridge and support workflows. The conversation covers GPU capacity constraints, Baseten’s multi-cloud fabric across 18 clouds and 90 clusters, long-term contracting dynamics, the importance of the software layer for stickiness, evolving workloads, multichip possibilities, and operational lessons at scale. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @Tuhinone Chapters: 00:31 Baseten growth 01:55 Why the app layer wins 05:57 Serving frontier customers 07:55 Open source model mix 09:21 Chinese models and geopolitics 13:07 Custom inference dominates 14:22 Post training acquisition 17:10 When to invest in custom models 18:35 Supply crunch and data centerse 22:25 Longer GPU Contracts 24:09 What Makes a Winner 26:07 Multi Chip Future 28:19 Runtime Roadmap 31:08 Scaling Edge Cases 33:48 Hiring and Leadership 36:44 Operations Pager Culture 38:19 Efficiency Drives Demand 40:41 Concierge Everything Future 42:34 Conclusion
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Chapters (19)

0:31 Baseten growth
1:55 Why the app layer wins
5:57 Serving frontier customers
7:55 Open source model mix
9:21 Chinese models and geopolitics
13:07 Custom inference dominates
14:22 Post training acquisition
17:10 When to invest in custom models
18:35 Supply crunch and data centerse
22:25 Longer GPU Contracts
24:09 What Makes a Winner
26:07 Multi Chip Future
28:19 Runtime Roadmap
31:08 Scaling Edge Cases
33:48 Hiring and Leadership
36:44 Operations Pager Culture
38:19 Efficiency Drives Demand
40:41 Concierge Everything Future
42:34 Conclusion
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