$4.5B Weekly Run Rate: AI Infrastructure, DefenseTech & Series A Recovery
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$4.5B Weekly Run Rate: AI Infrastructure, DefenseTech & Series A Recovery
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Narrated by:
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By:
(00:00:24) Groq's $2.4B Inference Play
(00:01:02) Peregrine and Cadence Vertical Bets
(00:02:13) Series A Recovery and Seed Restructuring
(00:02:56) Exit Boom and DefenseTech Surge
(00:03:37) What to Watch Next
The weekly funding tally is telling a precise story: $4.5 billion across 30-plus deals is no longer a record — it's becoming the baseline. This episode breaks down what that signal actually means for founders and investors operating in the market today.
Groq leads the headline numbers, reaching $2.4 billion in total funding for its LPU-based AI inference platform. The investor thesis is explicit: control inference speed, control where AI deployment happens. Runpod and Ornn are drawing parallel capital in compute, confirming that top-tier funds are betting on the pipes, not the models.
Two regulated-vertical deals sharpen a second theme. Peregrine Technologies — a public safety data integration platform backed by Sequoia and five other tier-one firms — has reached $500 million total, bringing govtech into serious competition with healthcare for late-stage capital. Cadence Solutions, a remote patient monitoring company backed by Coatue, sits at $241 million, with the investment thesis built around replacing clinical overhead with automated workflows at health-system scale.
At the macro level, Series A funding grew 28% in Q1 2026 versus the 2025 quarterly average — genuine acceleration. Seed dynamics have also shifted structurally, with large VC funds writing $20–50 million checks to lock in AI-native talent before the market prices them correctly. Meanwhile, total exit value hit $800 billion in 2025, with AI-native exits up 500% year over year. Non-AI enterprise software is contracting sharply, down 36% since 2021. DefenseTech is the one non-AI category bucking that trend, with Series A deal value up 60% year over year as European capital overrides historical ESG constraints.
The two metrics to watch: whether Series A momentum holds through Q2, and whether AI-native exit multiples sustain as volume scales.
This episode includes AI-generated content.
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