Together AI
Together AI is a research-driven AI company empowering developers and researchers to train, fine-tune, and deploy open-source generative AI models at scale through a purpose-built AI acceleration cloud platform.
At a Glance
- AI-native startups and scale-ups
- Enterprise software companies
- AI researchers and academics
- Open-source AI developers
- +8 more
AI Tools by Together AI
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Together AI
AI Model Inference and Training Cloud
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Latest News
Together AI Raises $305M Series B to Scale AI Acceleration Cloud for Open Source and Enterprise AI
Together AI Becomes NVIDIA Cloud Partner to Bolster Accelerated Computing Infrastructure
Together AI Expands in Europe Through Strategic Infrastructure Partnership with Hypertec, Bringing 100,000 GPUs to Europe
Together AI Acquires CodeSandbox to Add Built-in Code Interpretation Capabilities
Products & Services
Cloud-based inference platform providing access to over 200 open-source models for text, vision, image, audio, video, transcription, embeddings, rerank, and moderation. Delivers 2-3x faster inference speeds than hyperscaler solutions.
Dedicated inference infrastructure for customers requiring consistent performance and isolation, enabling greater flexibility than standard cloud providers.
Platform for fine-tuning open-source models with both standard and specialized pricing options, including LoRA and full fine-tuning capabilities.
Scalable GPU cluster solutions ranging from 64 to over 36,000 GPUs, featuring NVIDIA Blackwell GPUs (HGX B200, GB200 NVL72) with up to 90% faster training performance. Over 200 MW of power capacity deployed.
Market Position
Together AI positions itself as 'The AI Native Cloud' engineered for AI natives and powered by cutting-edge research. Key differentiators include: (1) Open-source focus with no vendor lock-in - customers own their fine-tuned models, (2) Performance advantages with 2-3x faster inference than hyperscalers and 90% faster training, (3) Cost advantages with 60% cost savings reported by customers like Hedra, (4) Purpose-built infrastructure with FlashAttention optimizations and 200+ MW of GPU capacity, (5) Research-driven innovation through contributions like FlashAttention-2/3, RedPajama dataset, and Together Kernel Collection, (6) Full stack offering from inference to training to custom models. Competes with Mistral AI, Baseten, Cohere, and hyperscalers (AWS, GCP, Azure) in the AI infrastructure market.
Leadership
Founders
Vipul Ved Prakash
Co-founded Cloudmark, an anti-spam company that developed Vipul's Razor. Founded Topsy, a social media search and analytics company acquired by Apple for over $200 million in 2013. Background in large-scale distributed systems and information retrieval.
Ce Zhang
Associate Professor at University of Chicago. PhD from University of Wisconsin-Madison, postdoctoral researcher at Stanford under Chris Ré. Research focus on machine learning systems and decentralized computing.
Chris Ré
Professor at Stanford AI Lab, Stanford Center for Research on Foundation Models (CRFM), and Machine Learning Group. Research focus on foundation models and machine learning systems.
Percy Liang
Associate Professor of Computer Science at Stanford University. BS from MIT (2004), PhD from UC Berkeley (2011). Research focus on machine learning and natural language understanding. Co-founder of Stanford Center for Research on Foundation Models.
Executive Team
Vipul Ved Prakash
Founder & CEO
Previously founded Topsy (acquired by Apple for $200M+) and co-founded Cloudmark. Expert in large-scale distributed systems and information retrieval.
Ce Zhang
Founder & CTO
Associate Professor at University of Chicago. PhD from UW-Madison, postdoc at Stanford. Expert in machine learning systems and decentralized computing.
Board of Directors
Founding Story
Together AI was founded in June 2022 by Vipul Ved Prakash, Ce Zhang, Chris Ré, and Percy Liang, who were driven by the belief that open and decentralized alternatives to closed AI systems were going to be important. The founders, who are researchers and professors at Stanford, wanted to democratize AI by making open-source models accessible to developers and enterprises globally. Prior to Together AI, the team had already released successful open-source projects including RedPajama, GPT-JT, and OpenChatKit, which garnered support from hundreds of thousands of AI developers.
Business Model
Revenue Model
Consumption-based revenue model with per-token pricing for inference, GPU cluster rentals (hourly rates), fine-tuning services (per token), and custom model consulting. No subscription tiers or minimum commitments for serverless offerings. Options for instant clusters, reserved clusters, and Frontier AI Factory for large-scale deployments.
Pricing Tiers
Ranges from $0.05-$3.50 per 1M input tokens and $0.06-$7.00 per 1M output tokens depending on model (e.g., Llama 3.3 70B at $0.88/$0.88, DeepSeek-R1 at $3.00/$7.00, Llama 3.2 3B Turbo at $0.06/$0.06)
Dedicated inference infrastructure with custom pricing based on requirements
Standard and specialized pricing options available for LoRA and full fine-tuning
Self-service GPU clusters from 64 to 10,000+ GPUs with hourly billing
Reserved GPU capacity for long-term deployments
Large-scale GPU deployments for frontier AI development
Code execution and interpretation services
Target Markets
- AI-native startups and scale-ups
- Enterprise software companies
- AI researchers and academics
- Open-source AI developers
- AI application developers
- Large enterprises deploying AI
- AI-powered code editors and IDEs
- Voice AI and real-time conversational agents
- AI video generation at scale
- Customer support automation
- AI agents and reasoning models
- Document parsing and information extraction
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