Together AI is a full-stack cloud platform for running, fine-tuning, and training open-source AI models, offering serverless inference APIs and NVIDIA GPU clusters for developers.
About
Together AI is an "AI Native Cloud" platform that lets developers and companies run, customize, and train open-source AI models without building their own infrastructure. It addresses the core problem of deploying large language models and other generative models in production: getting fast inference, predictable capacity, and affordable compute in one place.
The platform spans three layers. Its inference services serve 200+ open models across text, image, video, code, and audio through an OpenAI-compatible API at the base URL https://api.together.ai/v1, with options ranging from pay-per-token serverless endpoints to dedicated GPUs with a 99% uptime SLA. Its model shaping products cover fine-tuning (SFT and DPO), reinforcement-learning post-training, and evaluations. Its compute products provide NVIDIA GPU clusters (H100, H200, B200, GB200, GB300), a private AI Factory option, secure code sandboxes, and managed storage. Together AI is also known for systems research such as FlashAttention, and it operates a startup accelerator alongside its commercial products.
Key Features
Pricing & Fees
- Pricing: Not publicly listed on the pages we reviewed; check the official site for current plans. Pricing is structured per product line (serverless per-token, batch at reduced cost, reserved throughput, dedicated deployments, and GPU clusters).
- API compatibility: The inference API is OpenAI-compatible, and the live model catalog can be queried at https://api.together.ai/v1/models.
- Model catalog: 200+ models spanning chat, image, code, vision, video, and audio, including open-weight families such as DeepSeek, GLM, Qwen, Llama, Gemma, and Kimi.
- GPU hardware: NVIDIA GB300 NVL72 (72 Blackwell Ultra GPUs, 21TB HBM3e), GB200 NVL72, HGX B300, HGX B200, HGX H200, and HGX H100, available on-demand or reserved; on-demand B200s were recently added to GPU Clusters.
Who It's For
Together AI is aimed at developers and AI-native companies that need to ship generative features into production. Typical users include machine learning engineers fine-tuning open models for specific tasks, backend teams adding LLM, image, or video generation via API, startups that want per-token pricing before committing to dedicated capacity, and research or platform teams training or post-training large models on rented GPU clusters. Teams already using OpenAI SDKs can point them at Together AI with minimal code changes, making it a practical option for evaluation and cost comparison.
FAQ
What is Together AI?Together AI is a full-stack cloud platform for running, fine-tuning, and training open-source and frontier AI models, offering inference APIs, model shaping tools, and NVIDIA GPU clusters through an OpenAI-compatible API.
How much does Together AI cost?Specific prices are not publicly listed on the pages we reviewed; the platform uses usage-based pricing across serverless inference, batch jobs, reserved throughput, dedicated deployments, and GPU clusters. Check the official pricing page for current rates.
Does Together AI work with OpenAI SDKs?Yes. The inference API at https://api.together.ai/v1 is OpenAI-compatible, so an OpenAI SDK client can be used against Together AI without changes.
Can you fine-tune large models on Together AI?Yes. Fine-tuning supports supervised fine-tuning (SFT) and DPO on open models, including those over 100 billion parameters, with full-weight or LoRA approaches, plus custom RL and SFT post-training loops.
What GPUs does Together AI offer?GPU Clusters include NVIDIA H100, H200, B200, and GB200/GB300 systems with InfiniBand networking, available on demand or reserved, alongside a private AI Factory option for large-scale custom infrastructure.
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