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Building the Real-World Infrastructure for AI, with Google, Cisco & a16z

AI isn’t just changing software, it’s causing the biggest buildout of physical infrastructure in modern history. In this episode, live from Runtime, a16z's Raghu Raghuram speaks with Amin Vahdat, VP and GM of AI and Infrastructure at Google, and Jeetu Patel, President and Chief Product Officer at Cisco, about the unprecedented scale of what’s being built, from chips to power grids to global data centers. They discuss the new “AI industrial revolution,” where power, compute, and network are the new scarce resources; how geopolitical competition is shaping chip design and data center placement; and why the next generation of AI infrastructure will demand co-design across hardware, software, and networking. The conversation also covers how enterprises will adapt, why we’re still in the earliest phase of this CapEx supercycle, and how AI inference, reinforcement learning, and multi-site computing will transform how systems are built and run. 00:00 Intro 01:16 The Scale of the AI Buildout 03:00 CapEx, Demand Signals, and the Power Bottleneck 05:56 Data Centers, Scarcity, and Global Power Constraints 08:18 Rethinking Systems and Networking 10:08 Scale-Out vs. Mainframe Architectures 12:18 The Next Wave in Processor Innovation 14:36 Specialized Chips, Power Efficiency, and Geopolitics 16:14 Networking Evolution and Scale Challenges 18:52 Building Networks for AI: Power, Bursts, and Bottlenecks 21:00 Inference Architecture and Cost Reduction 24:00 AI Inside the Enterprise: Code Migration and Productivity 27:30 Rewiring Culture Around Rapid AI Adoption 29:40 Startups, Models, and Intelligent Routing Layers 31:55 The Future of AI Models, Agents, and Media 33:10 Closing Thoughts Resources Full Transcript: https://a16z.substack.com/p/surviving-the-ai-sprint-up-close Follow Raghu on X: https://x.com/RaghuRaghuram Follow Jeetu on X: https://x.com/jpatel41 Follow Amin on LinkedIn: https://www.linkedin.com/in/vahdat/ Find a16z on X: https://x.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Listen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYX Listen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711 Follow our host: https://x.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

Jeetu PatelguestAmin Vahdatguest
Oct 29, 202532mWatch on YouTube ↗

Episode Details

EPISODE INFO

Released
October 29, 2025
Duration
32m
Channel
a16z
Watch on YouTube
▶ Open ↗

EPISODE DESCRIPTION

AI isn’t just changing software, it’s causing the biggest buildout of physical infrastructure in modern history. In this episode, live from Runtime, a16z's Raghu Raghuram speaks with Amin Vahdat, VP and GM of AI and Infrastructure at Google, and Jeetu Patel, President and Chief Product Officer at Cisco, about the unprecedented scale of what’s being built, from chips to power grids to global data centers. They discuss the new “AI industrial revolution,” where power, compute, and network are the new scarce resources; how geopolitical competition is shaping chip design and data center placement; and why the next generation of AI infrastructure will demand co-design across hardware, software, and networking. The conversation also covers how enterprises will adapt, why we’re still in the earliest phase of this CapEx supercycle, and how AI inference, reinforcement learning, and multi-site computing will transform how systems are built and run. 00:00 Intro 01:16 The Scale of the AI Buildout 03:00 CapEx, Demand Signals, and the Power Bottleneck 05:56 Data Centers, Scarcity, and Global Power Constraints 08:18 Rethinking Systems and Networking 10:08 Scale-Out vs. Mainframe Architectures 12:18 The Next Wave in Processor Innovation 14:36 Specialized Chips, Power Efficiency, and Geopolitics 16:14 Networking Evolution and Scale Challenges 18:52 Building Networks for AI: Power, Bursts, and Bottlenecks 21:00 Inference Architecture and Cost Reduction 24:00 AI Inside the Enterprise: Code Migration and Productivity 27:30 Rewiring Culture Around Rapid AI Adoption 29:40 Startups, Models, and Intelligent Routing Layers 31:55 The Future of AI Models, Agents, and Media 33:10 Closing Thoughts Resources Full Transcript: https://a16z.substack.com/p/surviving-the-ai-sprint-up-close Follow Raghu on X: https://x.com/RaghuRaghuram Follow Jeetu on X: https://x.com/jpatel41 Follow Amin on LinkedIn: https://www.linkedin.com/in/vahdat/ Find a16z on X: https://x.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Listen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYX Listen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711 Follow our host: https://x.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

SPEAKERS

  • Jeetu Patel

    guest

    Cisco executive (EVP/Chief Product Officer) focused on enterprise networking and infrastructure strategy.

  • Amin Vahdat

    guest

    Google infrastructure/AI systems leader associated with TPU and hyperscale datacenter architecture.

EPISODE SUMMARY

In this episode of a16z, featuring Jeetu Patel and Amin Vahdat, Building the Real-World Infrastructure for AI, with Google, Cisco & a16z explores aI infrastructure boom reshapes power, chips, networks, and enterprise adoption The panel argues the AI infrastructure buildout is unlike prior cycles—potentially 100× the internet era—driven by economic, geopolitical, and national security stakes.

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