How VCs Are Investing in Inference Infrastructure in 2026

Episode notes

In episode 99 of The Venture Capital Podcast, Lucas and Luna dive into the red-hot market for AI inference infrastructure. Just this week, SambaNova raised another $1 billion at an $11 billion valuation - its second mega-round in five months. Meanwhile, French startup ZML released a free tool to speed inference across multiple chips. Lucas explains why venture investors are pouring capital into making AI models run faster and cheaper, not just training bigger ones. He breaks down the economics: inference costs can represent 80-90% of total model serving expenses for large deployments, and startups that cut those costs by 10x are attracting massive rounds. The hosts also connect this trend to recent market moves - Palantir up 15% in five days, Coinbase up nearly 12% - as public markets price in an AI application layer boom driven by cheaper inference. A must-listen for anyone tracking where VC dollars are flowing in mid-2026.

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