Baseten raises $1.5B Series F at $13B valuation; 20x revenue growth, 1B+ daily inferences

Baseten, the AI inference platform, closed a $1.5 billion Series F at a $13 billion valuation on June 22, 2026, led by Altimeter Capital, Conviction, and Spark Capital, with co-leads Sands Capital and Wellington Management. The round, structured across two tranches at $13B and $11B valuations, represents a 160% increase from the company's $5 billion Series E valuation five months prior. With over $2 billion raised to date, Baseten is now among the most heavily capitalized private AI infrastructure companies globally.

Baseten reports exceptional momentum: 20x year-over-year revenue growth (ARR estimated at ~$600M from ~$200M five months ago) and 40x growth in inference volume. The platform now processes more than 1 billion inference calls per day across 87 clusters spanning 18 cloud providers—a multi-cloud architecture that distinguishes it from single-provider competitors. CEO Tuhin Srivastava attributes growth to the market shift from frontier models toward post-trained, specialized models optimized on proprietary data, which leading AI companies now spend 30–50% of model budgets on.

The capital will fund compute infrastructure expansion, software development, and talent—Baseten is tripling headcount in 2026. Customers include Cursor, Notion, Lovable, Harvey, HubSpot, OpenEvidence, Abridge, and others building production AI applications where inference cost and latency are existential constraints. Altimeter Capital partner Apoorv Agrawal noted that 'the inference market is compounding faster than almost anything we've seen,' with sophisticated AI companies standardizing on Baseten.

For practitioners, this round signals that inference infrastructure has crystallized as a strategic, top-tier venture category. Open-source models have achieved parity with frontier APIs on capability while drastically reducing per-token inference cost, making multi-model post-training infrastructure the new margin play. Baseten's $600M ARR at a $13B valuation (21.7x multiple) puts it at a significantly more conservative multiple than frontier labs, reflecting investor conviction in operational AI infrastructure over pure model development at this stage of the market.