Together AI raises $800M at $8.3B valuation as companies shift to cost-effective AI models

Together AI Secures $800M in Series C Funding Round

Together AI has raised $800 million in a Series C funding round at an $8.3 billion valuation, the AI neocloud provider announced Wednesday1

1

. The round was led by Aramco Ventures, with participation from Vista Equity Partners, General Catalyst, Emergence Capital, Nvidia, March Capital, Pegatron, and SentinelOne's S Ventures1

1

. This marks a significant jump from the company's $305 million Series B round at a $3.3 billion valuation just 16 months ago1

1

. Founded in 2022 by Vipul Ved Prakash, Stanford professor Percy Liang, and ETH Zürich associate professor Ce Zhang, Together AI has now raised $1.3 billion in total funding3

3

.

Open-Source AI Cloud Platform Drives Explosive Growth

The company's open-source AI cloud platform lets companies train and run AI workloads on open models such as DeepSeek, MiniMax, and Kimi at significantly lower costs than closed systems2

2

. Together AI reported annual bookings exceeding $1.15 billion as of its last quarter, with usage of open-source models tripling across the industry in the past year1

1

. The platform has seen a 10,000-fold increase in the number of tokens it processes per month over the past year3

3

. The company serves thousands of paying customers including Cursor, Cognition, and Decagon1

1

.

Cost-Effective AI Models Attract Enterprise Customers

Company margins "are being eaten" by the costs of using closed models like those offered by OpenAI and Anthropic, explained Vipul Ved Prakash3

3

. Executives have begun pushing back against "token-maxxing" while searching for solutions to keep expanding their use of AI infrastructure3

3

. Ashwin Sreenivas, co-founder of Decagon, estimated that tasks moved from closed models to Together AI cost one-fifth to one-seventh as much3

3

. Chinese open-source models can be one-fiftieth the cost to use compared with their American counterparts on a per-token basis, according to a J.P. Morgan report3

3

.

AI Neocloud Provider Leverages Proprietary Technology

The AI-optimized public cloud platform is powered by Nvidia chips and a custom software engine called ATLAS5

5

. ATLAS uses speculative decoding to speed up customer workloads, with the company claiming its software can accelerate some inference workloads by 400%5

5

. Together AI's serverless inference service provides about twice the performance of the fastest alternative, removing the need to configure graphics cards and network equipment5

5

. The platform also offers fine-tuning capabilities with access to training clusters containing up to thousands of graphics cards5

5

.

AI Funding Surge Reflects Infrastructure Investment Wave

The raise lands in a market pouring capital into AI infrastructure at an unprecedented pace, with neocloud valuations soaring as demand for GPU compute continues to outstrip supply4

4

. Upscale AI closed a $190 million extension in June, bringing its total funding to $500 million at a $2 billion valuation4

4

. TensorWave raised $350 million in a Series B at a $1.55 billion valuation last month1

1

. Competitor Baseten raised $1.5 billion at a $13 billion valuation last month, while Cerebras held an IPO in May and now has a market value around $50 billion3

3

.

Compute Infrastructure Expansion Plans Target 50x Growth

Together AI will use its newly raised capital primarily on research and development and building out more compute capacity3

3

. The company plans to grow its public cloud's capacity by a factor of 50 over the next five years5

5

. Investors are proving helpful by introducing Together AI "to the right people who might be looking at building more capacity," said Abhishek Shukla, managing director at Prosperity73

3

. The question facing Together AI is whether its open-source positioning and software edge can hold as hyperscalers build out their own inference capabilities at a scale no startup can match4

4

.