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🔥 From GTC: The Conversation Has Moved Below the Model

We just came out of three days at GTC—seven events, nonstop conversations, and a front row seat to how fast this market is shifting. What’s clear is that the center of gravity has moved.

This is no longer just about models.
AI has hit the physical layer.

Across builders, operators, and capital allocators, there’s a shared recognition that we’ve entered a new phase. The industry isn’t experimenting anymore—it’s industrializing. The concept of the “AI factory” is becoming real: systems designed to generate intelligence continuously, not just run workloads.

But that shift is breaking everything underneath it.

Most existing infrastructure wasn’t built for this. Power constraints, thermal limits, and network bottlenecks are no longer edge cases—they’re the defining challenges. Rack densities are pushing into territory that forces liquid cooling as a baseline, while energy strategy is moving closer to the source, with behind-the-meter approaches and localized generation becoming part of the new standard.

At the same time, the compute stack itself is evolving. New architectures are beginning to collapse the boundary between hardware and reasoning, embedding more intelligence directly into the system to support agentic workloads. The problem is that most of the world’s infrastructure can’t support this yet. We’re not just scaling—we’re running into physics.

That tension is reshaping the economics of the sector. The bottleneck is no longer software alone—it’s power, supply chain access, and the ability to deploy high-density systems at scale. Control over infrastructure is quickly becoming the defining advantage.

And just as that shift is happening, workloads are evolving again. We’re moving toward agentic systems that reason and execute over longer horizons, dramatically increasing demand on inference. These systems generate far more internal computation per interaction, shifting the burden from training to continuous, high-throughput execution.

What emerges is a different kind of challenge. It’s not just about compute—it’s about coordination. Latency, reliability, and the ability to maintain performance across increasingly complex systems are becoming critical. We’re effectively building infrastructure for a persistent, always-on layer of intelligence operating at global scale.

All of this is happening at once, forcing a level of alignment the industry hasn’t needed before. The constraints are physical, the timelines are compressed, and the capital requirements are massive.

That’s why we’re bringing this ecosystem together on May 1.

AI INFRA SUMMIT 5 in Silicon Valley is designed to cut through surface-level narratives and focus on what’s actually happening on the ground—where builders, operators, and capital come together to compare notes in real time.

If you’re involved in scaling AI infrastructure in any capacity, this is the room where those conversations are happening.Get your tickets for AI INFRA SUMMIT 5 here

Plugged in with PLUG AND PLAY

Plug and Play is a global innovation platform and active early-stage investor, with investments in 35+ unicorns, connecting startups, corporations, and investors across 20+ industries. With 65+ offices worldwide and partnerships with over 500 leading organizations, the platform helps bring new technologies to market and scale innovation globally. At the center of this effort are its Silicon Valley headquarters in Sunnyvale and its growing AI Center of Excellence in San Jose, serving as a hub for next-generation AI collaboration.

AI infrastructure sits at the foundation of every industry Plug and Play operates in, and is the focus of a dedicated week in Silicon Valley. Across its ecosystem, energy partners are addressing the rising power demands of AI, semiconductor companies are advancing the compute layer, and construction tech leaders are building the physical backbone at scale. At the same time, foundation and world model innovators are turning compute into intelligence, while enterprise and physical AI companies are deploying it into real-world systems and applications.

AI Infrastructure Week, April 29 through May 1 in Silicon Valley, brings together the full stack: three focused events, one week, and a room full of the people actually building what comes next.

We're excited to partner with ClawCamp.us on the community’s full-day workshop event, Thursday, April 16th. Attendees experience a full-day of upskilling (beginner—advanced) that includes Partner Perks (incl. free OpenClaw agents), Onboarding (for beginners), Workshops (all levels), Skills Building, Skills Competition, Networking, and more!

You can even get your own M4 Mac mini, fully configured, if you purchase that package. 

RSVP and learn more about the event here 

Bay Area Startups Collectively Secured $7.2B in March MTD

After a $1.4B funding total for the week, March's startup funding now stands at $7.18B. After last week's slowdown for GTC, funding rebounded – and that's before OpenAI closes the $10B addition to their February $110B round (coming soon).

This week is the start of the "demo day" spring season, with the Y Combinator Winter 2026 cohort having theirs this week, Berkeley Skydeck's Batch 21 cohort next week and Speedrun in mid-April. These accelerators are one of the key elements that drives the dynamic character of the startup ecosystem in the Bay Area, creating something close to a “network effect” for founders. These three high-profile accelerators alone – and there are many others - will graduate more than 800 startups in 2026, with a high percentage of those companies coming from or choosing to remain in the Bay Area.

Early Stage:

• Gimlet Labs closed a $80M Series A, an applied research lab dedicated to building next-generation AI infrastructure.

• Highlight closed a $40M Series A, the shared intelligence layer that turns your team's work into collective knowledge.

• Deccan AI closed a $25M Series A, helps frontier AI labs and enterprises improve model performance through research-grade evals, benchmarks, and novel datasets at scale.

• EPIC Microsystems closed a $21M Series A, a leading semiconductor company which possesses cutting-edge know-how and experience in the area of power semiconductor products and solutions targeted at Artificial Intelligence and Data Center infrastructure. 

• Memories.ai closed a $16M Seed, building Large Visual Memory Models, giving machines the ability to see, understand, and recall visual experiences across unlimited time-frames.

Growth Stage:

• Harvey closed a $200M Series F, a modern, AI-native platform that helps physical product businesses manage the flow of goods, dollars, and data across procurement, inventory, orders, fulfillment, and finance in real time.

• Zipline closed a $200M Series H, the world's largest and most experienced autonomous delivery service.

• Xona Space Systems closed a $170M Series C, the navigational infrastructure company bringing centimeter-level certainty to any device, anywhere on Earth.

• Doss closed a $55M Series B, a modern, AI-native platform that helps physical product businesses manage the flow of goods, dollars, and data across procurement, inventory, orders, fulfillment, and finance. in real time.

• Shepherd closed a $42M Series B, provides insurance for the builders and operators shaping our physical world.

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Your feedback is crucial in helping us refine our content and maintain the newsletter's value for you and your fellow readers. We welcome your suggestions on how we can improve our offering. [email protected] 

Logan Lemery
Head of Content // Team Ignite

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