Together AI Cloud
Fine-tune and serve AI models on hosted infrastructure.
Together AI Funding History
Together AI provides cloud model inference and fine-tuning infrastructure.
Company Overview
Founded 2022 · San Francisco, California, US
Official WebsiteTogether AI Funding Timeline
Series C
US$800 million · $8.3B valuation
Alongside the Series C, Together AI said investors had made separate commitments for more than 500 MW of compute capacity.
Led by Aramco Ventures. Participation included NVIDIA, Vista Equity Partners, General Catalyst, Emergence Capital, Salesforce Ventures.
Source · businesswire.com ↗Series B
US$305 million
Together AI said the financing would expand its AI cloud and add NVIDIA Blackwell GPU capacity.
Led by General Catalyst, Prosperity7 Ventures.
Source · together.ai ↗Series A
US$102.5 million
Kleiner Perkins’ Bucky Moore was set to join the board in connection with the financing.
Led by Kleiner Perkins.
Source · together.ai ↗Seed
US$20 million
The seed financing supported Together’s work on open generative models and the infrastructure for running them.
Led by Lux Capital. Participation included Factory, SV Angel, First Round Capital, Robot Ventures, Definition Capital, Susa Ventures.
Source · techcrunch.com ↗Round (Unlettered, A2)
US$106 million
Together AI planned to expand its compute capacity and its tools for running open models in production.
Led by Salesforce Ventures.
Source · reuters.com ↗
Together AI Founding Team
Vipul Ved Prakash, Ce Zhang, Percy Liang, Chris Ré, and Tri Dao helped start Together AI to build an open ecosystem for foundation models. The early team worked with academic labs and open-source groups to make models and the infrastructure for running them more accessible.
Together AI Products
Together AI Company Development
Model Access Expands into Training and Serving
Together built infrastructure for developers to run and fine-tune models. Offering these workflows together gives teams a path from testing an existing model to adapting it for a product and serving the result.
Together AI Competitive Landscape
Serving a Model and Learning from Production
Together's cloud supports training-related workloads as well as inference. Trajectory's narrower focus is the feedback loop after a model is in use, where teams turn application outcomes into data for another training cycle.
