Together AI is a cloud platform that provides fast and affordable access to leading open-source AI models through an API, along with infrastructure for fine-tuning and training custom models. Founded in 2022 by a team of AI researchers from Stanford, the company operates a high-performance GPU cluster optimized for inference and training of open-source models. Together AI offers API access to a wide selection of popular open-source language models including LLaMA, Mistral, Mixtral, DeepSeek, Qwen, and many others, as well as image generation, code, and embedding models. The platform is known for its competitive pricing and fast inference speeds, achieved through custom inference engine optimizations and efficient GPU utilization. Together AI provides several key services. Its Inference API enables developers to run open-source models with OpenAI-compatible endpoints, making it straightforward to integrate into existing applications. The Fine-tuning API allows users to customize models on their own data with support for full fine-tuning, LoRA, and QLoRA methods, all managed through a simple API or web interface. Together also offers dedicated GPU clusters for organizations that need guaranteed capacity and custom deployments. The platform supports function calling, JSON mode, streaming, and chat completion formats that are compatible with the OpenAI API specification, simplifying migration for developers already using OpenAI. Together AI has contributed to several open-source projects and research efforts in efficient AI training and inference. Pricing follows a pay-per-token model that varies by model size and type, with rates generally lower than many competing inference providers. The platform is used by startups, enterprises, and researchers who prefer open-source models with the flexibility to fine-tune and customize.

AI GPU Cloud

Together AI operates high-performance GPU clusters optimized for AI inference and training. It offers dedicated GPU capacity for organizations needing guaranteed resources, as well as serverless inference that efficiently shares GPU resources across users for cost-effective model serving.

AI Model Hosting

Together AI hosts and serves hundreds of open-source AI models on optimized infrastructure. Developers can deploy models through the shared inference API for cost-effective serving or provision dedicated endpoints for guaranteed capacity, with the platform handling all infrastructure management.

AI Training Platforms

Together AI provides managed fine-tuning and training infrastructure for customizing open-source models. Users can fine-tune models using full fine-tuning, LoRA, or QLoRA methods through a simple API, with Together handling GPU provisioning, distributed training, and optimization.

LLM APIs

Together AI provides API access to a wide catalog of open-source language models with OpenAI-compatible endpoints, competitive pricing, and fast inference speeds. Developers can access models like LLaMA, Mistral, and DeepSeek through a standardized API with support for streaming, function calling, and JSON mode.

Open Source LLMs

Together AI specializes in hosting and serving open-source language models, providing fast and affordable API access to models from Meta, Mistral, DeepSeek, and other open-source providers. Its platform makes it easy to run, compare, and integrate open-source LLMs without managing GPU infrastructure.