Together AI
Summary
Inference, fine-tuning, and GPU clusters for open models — the full stack for teams building on open weights.
Description
Together AI is a cloud built specifically for open-weight models. It covers the whole lifecycle: call a hosted model through an API today, fine-tune it on your data next month, and rent dedicated GPU capacity when you outgrow shared endpoints.
The three layers
- Inference. An OpenAI-compatible API serving a large catalogue of open models — chat, code, vision, embeddings, image — with serverless and dedicated options.
- Fine-tuning. Managed LoRA and full fine-tuning on your own datasets, with the resulting model deployable on the same platform.
- GPU clusters. Reserved capacity with high-speed interconnect for teams doing their own training runs at scale.
Why it appeals
Open weights mean no surprise deprecations, portable artefacts, and pricing that tends to sit well below frontier proprietary models. Together packages that without requiring you to run the hardware, and the compatibility layer means most existing code needs only a base URL change to evaluate it.
Free credits are available for testing; production usage is metered per token or per GPU-hour.
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