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title: Fireworks raises $1.5bn to build specialized intelligence
description: Fireworks AI has raised $1.5bn in a Series D round at a $17.5bn valuation, led by Atreides Management, Index Ventures, and TCV, with Nvidia participating...
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og:description: Fireworks AI has raised $1.5bn in a Series D round at a $17.5bn valuation, led by Atreides Management, Index Ventures, and TCV, with Nvidia participating...
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# Fireworks raises $1.5bn to build specialized intelligence

**[The Next Web](https://daily.dev/sources/tnw)** · 3 min read · 1 upvotes · 0 comments

## Summary

Fireworks AI has raised $1.5bn in a Series D round at a $17.5bn valuation, led by Atreides Management, Index Ventures, and TCV, with Nvidia participating again. The company's thesis is that businesses will build their own specialized AI models rather than renting from large labs. Revenue has surpassed $1bn annualized, growing fivefold in a year, and the platform serves over 40 trillion tokens daily — more daily traffic than Google or OpenAI report serving developers. Fireworks runs open models for clients and fine-tunes them on proprietary data, offering costs at one-fifth to one-tenth of big-lab pricing. Founded in 2022 by former Meta/PyTorch engineers, the company plans to grow headcount from 200 to 600 by year-end.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenextweb.com/news/fireworks-1-5-billion-series-d-specialized-intelligence>

## Questions this post answers

### What valuation did Fireworks AI reach after its Series D funding round?

Fireworks AI reached a $17.5bn valuation after raising $1.5bn in its Series D round. The round was led by Atreides Management, Index Ventures, and TCV, with existing backer Nvidia participating again. Annualised revenue has passed $1bn, up fivefold in a year, and the platform serves more than 40 trillion tokens daily.

_Teams weighing specialized versus general AI models can follow funding and inference trends like this on daily.dev._

### How much cheaper are specialized AI models compared to renting models from big labs like OpenAI or Google?

Specialized AI models can run at a fifth to a tenth of the cost of renting from big labs, according to Fireworks. The company reports 95% of its 40 trillion daily tokens now run on specialized, fine-tuned models rather than general-purpose ones, reflecting a broader shift toward cheaper, capable models over the biggest closed models.

_Developers deciding between open and closed models can track cost and performance comparisons on daily.dev._

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---

Tags: [#llm](https://daily.dev/tags/llm), [#nvidia](https://daily.dev/tags/nvidia), [#ai-inference](https://daily.dev/tags/ai-inference)

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