Together AI is a San Francisco-based technology company specializing in decentralized cloud services for generative AI model training and deployment. Founded in 2022, the company aims to democratize access to advanced AI technologies by providing an open-source platform that enables developers and researchers to train, fine-tune, and deploy AI models efficiently. By offering a decentralized cloud infrastructure, Together AI seeks to reduce reliance on traditional cloud services, thereby enhancing cost-effectiveness, transparency, and security in AI development.
Key Strategic Focus
Together AI's strategic focus centers on providing a comprehensive suite of tools and services that facilitate the development and deployment of open-source AI models. The company's core objectives include:
- Decentralized Cloud Platform: Offering a cloud platform that connects users to a network of high-end GPU resources, enabling efficient training and deployment of AI models without dependence on centralized cloud providers.
- Open-Source Model Support: Hosting over 200 open-source models, including Meta Platforms' Llama and models from China's DeepSeek, to foster innovation and collaboration within the AI community.
- Comprehensive Product Suite: Providing tools for inference, fine-tuning, and custom model development, allowing users to tailor AI solutions to their specific needs.
- Scalable Infrastructure: Deploying state-of-the-art GPU clusters optimized for foundation model training, with flexible commitments and high-speed networking capabilities.
The primary markets targeted by Together AI include AI startups, research institutions, and enterprises seeking cost-effective and scalable AI infrastructure solutions.
Financials and Funding
Since its inception, Together AI has demonstrated significant growth and investor confidence:
- Seed Rounds: In 2022, the company raised $4 million in its initial seed round, followed by an additional $20 million in early 2023.
- Series A Funding: In November 2023, Together AI secured $102.5 million in a Series A round led by Kleiner Perkins, with participation from NVIDIA and Emergence Capital, valuing the company at approximately $500 million.
- Series A Extension: In March 2024, the company raised an additional $106 million at a $1.25 billion valuation in a Series A extension led by Salesforce Ventures, with participation from Coatue, Lux Capital, and Emergence Capital.
- Latest Funding Round: In February 2025, Together AI raised $305 million in a funding round led by General Catalyst, with significant contributions from Salesforce Ventures, NVIDIA, Coatue, and Prosperity7—the venture capital arm of Aramco Ventures. This round brought the company's valuation to $3.3 billion.
The capital raised is intended for expanding the cloud platform, deploying NVIDIA's Blackwell GPUs, and enhancing the company's infrastructure to support a growing user base.
Technological Platform and Innovation
Together AI distinguishes itself through its robust technological platform and commitment to open-source innovation:
- RedPajama Datasets: The company released RedPajama, an open-source dataset for model pretraining, followed by RedPajama-V2, containing over 30 trillion tokens.
- Inference Engine: Together AI's inference engine is multiple times faster than other inference services, providing efficient and scalable solutions for AI model deployment.
- Fine-Tuning Capabilities: The platform allows customers to customize leading open-source models with their proprietary datasets, facilitating tailored AI solutions.
- GPU Clusters: Offering access to state-of-the-art GPU hardware, such as NVIDIA H100, H200, and A100 GPUs, optimized for foundation model training with flexible commitments and high-speed networking.
Leadership Team
Together AI's leadership comprises experienced professionals with backgrounds in AI research and technology:
- Vipul Ved Prakash: Co-founder and CEO, with a history of building data and machine learning startups.
- Ce Zhang, Ph.D.: Co-founder, with experience in deep learning projects and open-domain Q&A systems.
- Percy Liang: Co-founder, with a background in AI research and academia.
- Christopher Ré: Co-founder, with experience in data and machine learning startups.
Competitor Profile
Together AI operates in a competitive landscape with several key players:
- Foundry: Offers a public cloud purpose-built for ML workloads, providing self-serve access to GPU compute with flexible usage options.
- RunPod: Provides cost-effective and scalable GPU resources, enabling users to train and deploy AI models with over 50 templates to simplify ML workflows.
- Lambda: Specializes in GPU workstations, cloud services, and AI infrastructure, serving enterprises, startups, and research labs.
- CoreWeave: Offers cloud infrastructure optimized for GPU-based workloads, providing a wide range of compute options with flexible usage-based pricing.
Together AI differentiates itself through its comprehensive suite of tools, commitment to open-source AI, and cost-effective, scalable infrastructure solutions.
Strategic Collaborations and Partnerships
Together AI has established significant collaborations to enhance its market position and innovation capacity:
- NVIDIA: Partnership for deploying NVIDIA's Blackwell GPUs to expand the company's cloud platform.
- Salesforce Ventures: Investment to support the company's growth and development of AI infrastructure solutions.
- Prosperity7 Ventures: Investment to strengthen Together AI's position in the AI technology market.
Operational Insights
Together AI's strategic considerations include:
- Cost-Effectiveness: Offering services at a fraction of the cost compared to traditional cloud providers, making AI development more accessible.
- Open-Source Commitment: Supporting over 200 open-source models and datasets, fostering innovation and collaboration within the AI community.
- Scalable Infrastructure: Providing access to state-of-the-art GPU clusters optimized for AI workloads, ensuring efficient and scalable solutions for users.
Strategic Opportunities and Future Directions
Together AI's strategic roadmap includes:
- Platform Expansion: Continuing to enhance the cloud platform with additional features and capabilities to support a growing user base.
- Research and Development: Investing in the development of new open-source models and datasets to advance AI research and applications.
- Global Reach: Expanding operations and partnerships to serve a broader international audience, addressing the growing demand for AI infrastructure solutions.
Contact Information
- Website: together.ai
- Headquarters: San Francisco, California, United States
