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 up to 4x faster than traditional deployments, with support for both serverless endpoints and dedicated GPU instances. The fine-tuning platform supports models with over 100 billion parameters including DeepSeek-V3 and Qwen3-235B, with native support for tool calling, reasoning, and vision-language training. Developers can train with 2-4x longer contexts at no extra cost, 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.