Join renowned technologist and Stanford lecturer Timothy Chou as he explores the future of artificial intelligence, distributed systems, and cutting-edge innovation in the Distributed AI Podcast. Each episode features in-depth conversations with industry pioneers, academic experts, and visionary entrepreneurs shaping the decentralized AI landscape. From federated learning and privacy-preserving AI to revolutionary applications in healthcare, finance, and beyond, this podcast dives into the technical challenges and transformative opportunities driving the AI revolution. Notable guests include leaders like Andrew Wheeler from HP Labs on next-generation AI infrastructure, Hina Dixit of Decomp Compute on democratizing AI tools, and Prashant Shah from Intel on scaling federated learning with confidential computing. The podcast also highlights the contributions of forward-thinkers like Nic Lane of Flower Labs, who explores the potential of distributed AI to harness untapped global
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Contact path
Public web form
Booking probability
35%
Guest openness
Selective
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Signup to Generate a PitchJoin renowned technologist and Stanford lecturer Timothy Chou as he explores the future of artificial intelligence, distributed systems, and cutting-edge innovation in the Distributed AI Podcast. Each episode features in-depth conversations with industry pioneers, academic experts, and visionary entrepreneurs shaping the decentralized AI landscape.
Distributed AI is hosted by BevelCloud. The show has published 13 episodes to date.
Recent episodes include "E12: Rene Haas on ARM, AI Infrastructure, and the Future of Computing" (1 July 2026, 19 minutes), "E10: Scaling Federated Learning: From Research to Real-World Distributed AI with George Jeno" (1 July 2026, 21 minutes), and "E11: Accelerating Parkinson’s Disease Drug Development with Federated Learning Approaches with Dr Graham Jones" (1 July 2026, 27 minutes).
Distributed AI publishes roughly irregularly, with episodes averaging 22 minutes across 13 episodes.
Booking probability for Distributed AI is 35%, and the host is rated Selective on guests. Distributed AI requires a Pod Score of 80 or higher. Distributed AI's contact route on record: public web form.
The strongest fits for Distributed AI are IT Services & Software Development. Distributed AI has a technology audience.
BevelCloud hosts Distributed AI, a technology podcast with 13 episodes published.
Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.
Episode #12
Rene Haas, CEO of ARM, joins Timothy Chou to discuss how ARM has become a foundational architecture for cloud, edge, and AI computing. He explains the shift from x86 dominance to ARM-based CPUs in hyperscale data...
Episode #10
In this episode of the Distributed AI Podcast, Timothy Chou speaks with George Jeno, co-founder of TieSet, about his journey from academic research to building scalable federated learning infrastructure. The...
Episode #11
In this episode of the Distributed AI Podcast, Timothy Chou speaks with Dr. Graham Jones of Novartis about how federated learning and digital biomarkers could transform drug development for Parkinson’s disease. The...
Distributed AI
<p>Markus Bujotzek, PhD student at the German Cancer Research Center, joins host Timothy to unpack the challenges and successes of deploying real-world federated learning in radiology. Learn how Markus and his team used...
Distributed AI
<p>In this episode, Dr. Oliver Saldanha of Cather Lab joins host Timothy to explore how swarm learning is transforming medical AI—from histopathology to global multi-center collaboration. Hear the story behind his...
Distributed AI
<p>Listen to Dr Timothy Chou introduce us to the Distributed AI Podcast presented by BevelCloud.</p><p>This episode is brought to you by BevelCloud—empowering the future of distributed AI in healthcare. Learn more at...
Episode #3
<p>In this insightful episode of the dAI Podcast, host Timothy Chou interviews Hugo Song, Product Manager at Google Research, to discuss the transformative power of Federated Learning and its role in advancing privacy...
Episode #7
<p>In this episode of the Distributed AI Podcast, host Timothy Chou sits down with Andrew Wheeler, Director of Hewlett Packard Labs, to explore the forefront of AI and distributed computing. They discuss HPE’s...
Episode #5
<p>In this episode of the Distributed AI Podcast, Timothy Chou sits down with Dr. Berivan Isik, a recent Ph.D. graduate from Stanford University and a research scientist at Google. Dr. Isik shares her journey from...
Episode #4
<p>In this episode of the Distributed AI Podcast, Timothy Chou sits down with Matt Siegel, Co-Founder of BitFount and former leader of the Private Federated Learning team at Apple. Together, they explore the...
Episode #6
<p>Our guest Hina Dixit, co-founder and CEO of Decomp Compute, discusses her journey from leading investments at Microsoft’s M12 and Samsung Next to founding a company that aims to revolutionize AI infrastructure. Hina...
Episode #2
<p>Our guest Dr. Nic Lane, co-founder of Flower Labs and professor at Cambridge, discusses the growing role of Federated learning in AI. He explains how distributed AI can unlock vast amounts of data while ensuring...
Episode #1
<p>Our guest Prashant Shah, Chief Technology Officer of Federated Machine Learning at Intel, discusses the transformative power of Federated learning and confidential computing in healthcare. He explores how these...
Recent guests on Distributed AI. Study who booked and why before you pitch.
Head of Business Studies, The Podcast Nobody Asked For
President, ARM Holdings
TieSet
Novartis
PitchCentric classifies Distributed AI under these industries. Guests from them are the closest fit, and each links to the best podcasts in that industry.
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