Together AI's pitch is giving teams the benefits of open-weight models, cost control, no vendor lock-in, the ability to fine-tune, without needing to run their own GPU infrastructure to get there. It hosts a large library of popular open models, including Llama, DeepSeek, and Qwen variants, ready to call through a simple API rather than requiring a customer to deploy vLLM or similar infrastructure themselves.
Beyond simple inference, it offers fine-tuning services and dedicated GPU clusters for customers who need more control or predictable performance than a shared inference endpoint provides, positioning it as something between a pure inference API and a full cloud GPU rental service like RunPod or Lambda.
Pricing is usage-based per token for standard inference, with dedicated infrastructure billed separately, competing directly with Replicate, Fireworks AI, and Groq for the business of teams who want open models running fast without managing their own inference infrastructure.