Together

Together AI provides a full-stack artificial intelligence platform optimized for production generative AI workloads. It offers capabilities for model inference, fine-tuning, and GPU cluster management, backed by advanced systems research. This foundation delivers a high-performance, cost-efficient "AI Native Cloud," enabling organizations to efficiently develop and deploy AI applications reliably.

Founded in 2022, Together AI was established by researchers Vipul Ved Prakash, Ce Zhang, Chris Ré, Tri Dao, and Percy Liang. Their insight addressed the need for accessible, efficient, and transparent infrastructure to support the growing generative AI field. Their collective expertise informed a platform designed for open innovation and simplified AI scaling.

The company serves development teams and organizations building sophisticated AI models. Together AI’s mission empowers these teams to accelerate product delivery, ensure reliable scaling, and achieve superior unit economics. It envisions an open "AI Native Cloud," democratizing access to powerful AI infrastructure for responsible development and positive impact.

High-Level Overview

Together AI is a leading AI infrastructure company that builds a cloud platform for accelerating open-source AI models across the full lifecycle, from training and fine-tuning to inference and deployment. It serves developers, researchers, enterprises, and businesses by providing optimized compute, APIs, and tools for over 200 open-source models in modalities like chat, image, audio, vision, code, and embeddings, solving the challenges of high-performance, secure, and cost-effective AI at production scale.[1][3]

The platform addresses key pain points in proprietary AI dominance by enabling 2-3x faster inference than hyperscalers via innovations like FlashAttention-3 and advanced quantization, while supporting agentic workflows, synthetic data generation, and model ownership. With $533M in funding and a $3.3B valuation post-$305M Series B in 2024, Together AI shows strong growth momentum, including North American deployments, AWS Marketplace availability, and acquisitions like CodeSandbox.[1][3]

Origin Story

Founded in 2020, Together AI emerged amid the rise of open-source AI, positioning itself as a cloud provider for an "AI-first world" driven by models like Meta's Llama.[1][3] Key figures include Chief Scientist Tri Dao, creator of FlashAttention, who leads research on optimizations like Mixture of Agents, Medusa, Sequoia, Hyena, and Mamba.[1] The company gained early traction through its proprietary inference engine and kernel collection, enabling faster training and lower costs, which propelled it to deploy frontier models like DeepSeek-R1 at scale.[1]

Pivotal moments include raising $106M initially for open-source generative AI tools, followed by the landmark $305M Series B led by General Catalyst with Nvidia, Salesforce Ventures, and Coatue, hitting $3.3B valuation. Recent hires like CRO Kai Mak and researcher James Zou, plus partnerships (e.g., Cartesia for voice AI) and the CodeSandbox acquisition, mark its evolution into a full AI Acceleration Cloud.[1][3]

Core Differentiators

• Open-Source Focus with Enterprise Grade: Powers 200+ models as the fastest platform for DeepSeek-R1 and Llama inference on NVIDIA GPUs, with full privacy controls and 2-3x speed over hyperscalers via custom kernels and quantization.[1]
• Full AI Lifecycle Coverage: Spans inference, training/fine-tuning, agentic workflows with code interpretation (via CodeSandbox), and synthetic data—delivering performance, security, and ownership enterprises demand.[1]
• Research Leadership: Innovations from Tri Dao's lab, like FlashAttention-3 (24% faster training) and Together Kernel Collection, optimize accuracy, efficiency, and costs at the AI-systems intersection.[1]
• Developer-Friendly Ecosystem: Intuitive APIs, compute platforms, and multimodal support make open models accessible for building production AI apps, bolstered by AWS Marketplace and ultra-low latency integrations.[1]

Role in the Broader Tech Landscape

Together AI rides the open-source AI wave, where models like DeepSeek-R1 and Llama challenge proprietary giants, increasing—not decreasing—GPU demand through advanced reasoning needs.[1][3] Timing is ideal post-2024 breakthroughs in efficient inference, amid market forces like Nvidia's AI investments (over 80 startups) and enterprise shifts to cost-optimized, customizable AI.[3]

It influences the ecosystem by democratizing frontier AI via decentralized, user-friendly platforms, enabling researchers and businesses to enhance models without vendor lock-in. This accelerates adoption in agentic AI, voice, and multimodal apps, while Nvidia's backing amplifies its role in the AI infrastructure stack.[1][3]

Quick Take & Future Outlook

Together AI is poised to dominate open AI acceleration as reasoning models proliferate, with expansions in enterprise platforms, global data centers, and acquisitions driving next-phase growth toward multi-billion scale. Trends like Mixture of Agents and sub-1ms voice AI will shape its path, potentially evolving it into the go-to cloud for customizable, high-performance open models amid rising GPU efficiencies.[1]

This positions Together AI as a cornerstone in the shift to open-source AI dominance, fulfilling its founding vision of an accessible AI-first world.[1]