# Fireworks AI raises $1.5B Series D at $17.5B valuation

> Fireworks AI, which runs a fast inference platform for deploying and fine-tuning open models, has raised a 1.505 billion dollar Series D at a 17.5 billion dollar valuation. The round was led by Atreides Management with Index Ventures and TCV, and it lands as the company says it has crossed 1 billion dollars in annualized revenue and is serving more than 40 trillion tokens a day. The most telling figure is that Fireworks says over 95 percent of that traffic comes from proprietary, fine-tuned models rather than off-the-shelf ones. That points to a real shift in how companies are using AI: instead of piping everything to a single frontier API, many are customizing smaller open models for their specific tasks and need somewhere fast and cheap to run them. Fireworks is positioning itself as that somewhere. The raise also underscores how much of the AI boom's money is going into infrastructure rather than models themselves. With plans to expand compute, hire engineers, and deepen cloud partnerships, Fireworks is betting that serving inference at scale, reliably and affordably, is a durable business even as the underlying models keep changing.

_Section: [AI Funding Tracker](https://www.wortins.com/funding) · Source: Fireworks AI · Published Thursday, August 20, 2026_

## Wortins' read

Fireworks AI, which runs a fast inference platform for deploying and fine-tuning open models, has raised a 1.505 billion dollar Series D at a 17.5 billion dollar valuation. The round was led by Atreides Management with Index Ventures and TCV, and it lands as the company says it has crossed 1 billion dollars in annualized revenue and is serving more than 40 trillion tokens a day. The most telling figure is that Fireworks says over 95 percent of that traffic comes from proprietary, fine-tuned models rather than off-the-shelf ones. That points to a real shift in how companies are using AI: instead of piping everything to a single frontier API, many are customizing smaller open models for their specific tasks and need somewhere fast and cheap to run them. Fireworks is positioning itself as that somewhere. The raise also underscores how much of the AI boom's money is going into infrastructure rather than models themselves. With plans to expand compute, hire engineers, and deepen cloud partnerships, Fireworks is betting that serving inference at scale, reliably and affordably, is a durable business even as the underlying models keep changing.

## Source

[Read the full story at Fireworks AI](https://blog.fireworks.ai)

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