Together AI

Together AI
200–500
AI, Cloud Computing, GPU Infrastructure
San Francisco, California, USA
June 2022

Together AI delivers a research-driven GPU cloud platform purpose-built for training, fine-tuning, and running frontier generative AI models. Leveraging top-tier NVIDIA hardware, custom CUDA kernels, and an optimized software stack, the AI Acceleration Cloud empowers developers and researchers to accelerate model development, achieve up to 4× faster inference, and deploy secure, scalable AI workloads. Its open-source ethos and decentralized infrastructure foster transparent AI innovation for organizations of all sizes.

Use Cases

  • Large-Scale Model Training: Rapid iteration on LLMs and multimodal architectures using high-performance clusters.

  • Retrieval-Augmented Generation: Building RAG systems with fine-tuned models and knowledge integrations.

  • Real-Time Inference: Serving chatbots, virtual assistants, and AI-powered applications with sub-100ms latency.

  • Research & Prototyping: Experimenting with novel architectures like FlashAttention-3 and sub-quadratic transformers.

Customers & Markets

Serving over 45,000 registered developers and leading enterprises including Salesforce, Zoom, Zomato, ElevenLabs, and Hedra, Together AI caters to industries such as SaaS, fintech, healthcare, and research institutions. Its cloud-native platform supports startups and Fortune 500 companies seeking transparent, vendor-neutral AI infrastructure.​

Research, Partnerships & Innovations

  • Research Focus: FlashAttention-3, sub-quadratic architectures, speculative decoding optimizations, and open-source model stewardship.

  • Partnerships: Collaborations with NVIDIA, OpenAI, Hugging Face, and academic labs (Stanford, Hazy Research).

  • Innovations: RedPajama open-source LLM dataset (30 trillion tokens), ATLAS adaptive inference speculator, and decentralized cloud orchestration.

Key People

  • Vipul Ved Prakash – Founder & CEO | Guides strategic vision, partnerships, and open-source advocacy.

  • Ce Zhang – Founder & CTO | Oversees technology roadmap and system architecture for scalable inference.

  • Tri Dao – Founding Chief Scientist | Leads model architecture research and efficiency innovations.

  • Kai Mak – Chief Revenue Officer | Drives enterprise sales, channel partnerships, and GTM strategy.

  • Charles Zedlewski – Chief Product Officer | Shapes product vision for fine-tuning and inference tooling.

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