# Together AI Raises $800M Series C, Crosses $1B ARR in Inference Infrastructure

> Together AI closed an $800M Series C on July 1 at an $8.3B valuation, and it did so while crossing $1B in annualized revenue. The demand behind those numbers is visible in the traffic: daily token volume on its platform jumped from 15 trillion to more than 40 trillion. Together makes its money serving open-weight models fast and cheaply, and that business is clearly humming. The raise is one piece of a striking pattern. Together, Baseten, and Fireworks pulled in a combined $3.8B in the span of four weeks, all of it aimed at inference, the work of actually running models in production, rather than training new ones. That is the story worth noticing. For a couple of years the capital and the headlines chased ever-larger training runs. Now the money is rotating toward the plumbing that serves models to real users at scale, and open-weight models are a big reason why, since companies can run them cheaply instead of paying per call to a closed API. When investors start funding the delivery layer this aggressively, it is a sign the market has moved from research demos to production workloads.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: TechTimes · Published Monday, August 3, 2026_

## Wortins' read

Together AI closed an $800M Series C on July 1 at an $8.3B valuation, and it did so while crossing $1B in annualized revenue. The demand behind those numbers is visible in the traffic: daily token volume on its platform jumped from 15 trillion to more than 40 trillion. Together makes its money serving open-weight models fast and cheaply, and that business is clearly humming. The raise is one piece of a striking pattern. Together, Baseten, and Fireworks pulled in a combined $3.8B in the span of four weeks, all of it aimed at inference, the work of actually running models in production, rather than training new ones. That is the story worth noticing. For a couple of years the capital and the headlines chased ever-larger training runs. Now the money is rotating toward the plumbing that serves models to real users at scale, and open-weight models are a big reason why, since companies can run them cheaply instead of paying per call to a closed API. When investors start funding the delivery layer this aggressively, it is a sign the market has moved from research demos to production workloads.

## Source

[Read the full story at TechTimes](https://www.techtimes.com/articles/319657/20260703/together-ai-raises-800m-open-source-inference-breaks-1b-closed-models-stall.htm)

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