Together AI Secures $305M Series B to Expand AI Acceleration Cloud

Together AI is building one of the most comprehensive AI acceleration cloud platforms to support the future of open-source AI.

Company Name: Together AI
Location: San Francisco, CA
Industry: AI Acceleration Cloud

Funding Details:

  • Amount: $305M (Series B)
  • Valuation: $3.3 Billion
  • Investors:
    • Lead: General Catalyst, Prosperity7
    • Participants: Salesforce Ventures, DAMAC Capital, NVIDIA, Kleiner Perkins, March Capital, Emergence Capital, Lux Capital, SE Ventures, Greycroft, Coatue, Definition, Cadenza Ventures, Long Journey Ventures, Brave Capital, Scott Banister, John Chambers

Purpose of Investment:

  • Expand its position as an end-to-end AI acceleration cloud for open-source model development.
  • Advance AI inference and fine-tuning capabilities for global enterprises.
  • Strengthen infrastructure and increase support for 200+ open-source models.
  • Enhance flexible deployment options for developers and businesses.

Leadership:

Product:

Together AI provides a cloud platform that enables enterprises and developers to train, fine-tune, and deploy generative AI models efficiently. The platform supports chat, image, audio, vision, code, and embeddings across a range of open-source and custom models.

Key features include:

  • Proprietary Inference Engine – Optimized for AI compute performance.
  • FlashAttention-3 Kernels & Advanced Quantization – Improving efficiency for enterprise AI workloads.
  • Enterprise-Grade AI Solutions – Powering over 450,000 AI developers and companies such as Salesforce, Zoom, SK Telecom, Hedra, Cognition, Zomato, Krea, Cartesia, and The Washington Post.

About the Company:

Together AI is building one of the most comprehensive AI acceleration cloud platforms to support the future of open-source AI. The company recently acquired CodeSandbox to integrate built-in code interpretation into its AI ecosystem.

Future Plans:

With this funding, Together AI will scale its cloud platform, enhance inference and model fine-tuning capabilities, and support AI-native enterprises in deploying next-gen AI applications.

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