# Baseten Raises $1.5B Series F at $13B Valuation

> Baseten, an AI inference platform, has raised a $1.5 billion Series F led by Altimeter Capital at a $13 billion valuation, with Conviction and Spark Capital joining. The number that jumps out is the pace: the company was valued at $5 billion as recently as January, so it has more than doubled in under six months. The business under the valuation is inference at scale. Baseten says it processes over a billion inference calls a day across 87 clusters spanning 18 clouds, which lets customers run a multi-model strategy without getting locked into a single vendor. Revenue has grown roughly twentyfold year over year, riding a shift in how AI apps are built: leading companies now direct 30 to 50 percent of their model spend toward custom, post-trained models tuned for specific workflows rather than relying solely on off-the-shelf frontier models. That shift is the thesis. As serving models, rather than training them, becomes the expensive daily reality of running AI products, the infrastructure layer that makes inference cheap, fast, and portable is suddenly very valuable, and investors are pricing Baseten accordingly.

_Section: [AI Funding Tracker](https://www.wortins.com/funding) · Source: Yellow · Published Wednesday, July 8, 2026_

## Wortins' read

Baseten, an AI inference platform, has raised a $1.5 billion Series F led by Altimeter Capital at a $13 billion valuation, with Conviction and Spark Capital joining. The number that jumps out is the pace: the company was valued at $5 billion as recently as January, so it has more than doubled in under six months. The business under the valuation is inference at scale. Baseten says it processes over a billion inference calls a day across 87 clusters spanning 18 clouds, which lets customers run a multi-model strategy without getting locked into a single vendor. Revenue has grown roughly twentyfold year over year, riding a shift in how AI apps are built: leading companies now direct 30 to 50 percent of their model spend toward custom, post-trained models tuned for specific workflows rather than relying solely on off-the-shelf frontier models. That shift is the thesis. As serving models, rather than training them, becomes the expensive daily reality of running AI products, the infrastructure layer that makes inference cheap, fast, and portable is suddenly very valuable, and investors are pricing Baseten accordingly.

## Source

[Read the full story at Yellow](https://yellow.com/news/baseten-raises-1-5-billion-ai-inference-platform)

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