Together AI is a cloud platform for running, fine-tuning, and training open-source AI models with optimized inference performance and no infrastructure management required. It addresses the challenge developers face when trying to use open-source models in production: setting up GPU clusters, optimizing serving frameworks, and managing scaling. Together AI handles all of this behind a simple API, letting teams focus on building AI-powered applications rather than wrestling with infrastructure.
Together AI's inference engine delivers speeds vendor-positioned throughput gains on selected workloads, with support for both serverless endpoints and dedicated GPU instances. The fine-tuning platform supports models with over 100 billion parameters including current families such as DeepSeek V4 Pro, Qwen3.x, Kimi K2.x, GLM, GPT-OSS, Llama, MiniMax, and Mistral, with native support for tool calling, reasoning, and vision-language training. Developers can train with long-context fine-tuning options where supported, use advanced DPO variants, and fine-tune vision models directly on raw image data. The platform also supports asynchronous batch processing that scales to 30 billion tokens per model, making it cost-effective for large-scale data processing workloads.
Together AI is designed for AI developers, startups, and enterprise teams who want to leverage open-source models without the overhead of managing GPU infrastructure. Common use cases include building custom chatbots, creating retrieval-augmented generation pipelines, running inference at scale for production applications, and fine-tuning models on proprietary data. The platform supports a wide catalog of models spanning text, image, and code generation. Together AI competes with Fireworks AI, Replicate, and Groq as a leading inference provider for open-source models, differentiating itself with comprehensive fine-tuning capabilities and competitive pricing.
