Together AI is a technology company.
Together AI has raised $440.0M across 3 funding rounds.
Together AI has raised $440.0M in total across 3 funding rounds.
Together AI has raised $440.0M in total across 3 funding rounds.
Together AI's investors include Addition, Airbus Ventures, Alumni Ventures, BEENEXT, Canaan Partners, Cantos Ventures, Chemistry VC, James Hardiman, Exponent Founders Capital, First Round Capital, General Catalyst, Kindred Ventures.
Together AI is a research-driven technology company providing an AI Acceleration Cloud platform that enables developers, researchers, and enterprises to train, fine-tune, deploy, and run generative AI models at scale with optimized inference, superior price-performance, and full lifecycle support.[1][2][3][4] It serves AI-native companies, developers (over 400,000 users), and industries like healthcare and manufacturing by solving key challenges in AI infrastructure: high costs, vendor lock-in, slow inference, and complex orchestration through a decentralized, open-source-focused network of high-end GPUs (e.g., NVIDIA H100, H200, GB200).[1][2][3][4][5] The platform delivers cost reductions (up to 60% savings reported by customers), faster performance (e.g., 75% faster inference than PyTorch), and secure, scalable tools like serverless APIs, dedicated endpoints, and custom model training, fueling rapid growth via partnerships with Nvidia, Meta, Hugging Face, and a thriving open-source community.[2][3][5]
Together AI emerged as a response to the limitations of proprietary cloud services in the generative AI boom, founded by a team of AI researchers committed to open-source innovation.[1][6] Key founders include experts behind breakthroughs like FlashAttention, with the company positioning itself as a "research-driven AI company" from inception to empower developers without infrastructure hassles.[3][6] The idea crystallized around building a full-stack platform for open models, starting with optimized inference engines and expanding to training and deployment; early traction came from contributions like Red Pajama datasets and Flash Decoding, attracting developers and securing GPU clusters for scalable workloads.[1][2][3] Pivotal moments include rapid adoption by 400,000+ developers and customer wins like Hedra (60% cost savings on AI video) and Arcee AI (5x performance gains), evolving from inference-focused tools to a comprehensive AI native cloud.[2][3]
Together AI stands out in the crowded AI infrastructure space through its integrated, open-source-native approach:
Together AI rides the generative AI democratization wave, capitalizing on exploding demand for open-source models amid concerns over closed platforms' costs, data sovereignty, and black-box risks.[1][2] Timing is ideal post-2023 AI hype, as enterprises shift to cost-effective, flexible infrastructure amid GPU shortages and hyperscaler pricing pressures; market forces like NVIDIA's hardware advancements (GB200/GB300) and open model surges (Llama, Qwen) amplify its decentralized GPU network.[3][4][5] It influences the ecosystem by accelerating open innovation—lowering barriers for startups/SMBs, enabling custom AI in underserved sectors, and pushing benchmarks via research contributions—while bridging open-source flexibility with enterprise reliability, potentially reshaping AI infra from oligopoly to competitive, developer-led standards.[2][6]
Together AI is poised for explosive growth as AI shifts to efficient, open inference at hyperscale, with expansions into frontier GPU factories and agentic systems likely driving trillion-token workloads and deeper enterprise penetration.[3] Trends like multimodal models, on-device AI, and regulatory pushes for transparency will favor its stack, potentially evolving it into a core enabler of the open AI economy—much like how it started by making advanced models accessible without big-tech gatekeepers.[1][2] Watch for more acquisitions, global DC builds, and research moonshots to solidify its lead in price-performance.
Together AI has raised $440.0M across 3 funding rounds. Most recently, it raised $310.0M Series B in February 2025.