What is Together AI?
Together AI is an AI Native Cloud platform focused on high-performance inference and training of open large language models. The service provides a full stack: Serverless Inference, Batch Inference, Dedicated GPU Clusters, and an advanced Fine-Tuning Platform.
Key Features
The platform gives access to the latest open models including Llama 4 Maverick, DeepSeek V3.1, Qwen3, GLM-5, MiniMax, Kimi, and gpt-oss-120B. Users can run inference via simple APIs, use Batch Inference to process billions of tokens at up to 50% lower cost, and deploy models on dedicated hardware.
Recent innovations include FlashAttention-4 (up to 1.3× faster than cuDNN on NVIDIA Blackwell), ATLAS runtime-learning accelerators delivering up to 4x faster LLM inference, and generally available self-service GPU Clusters with H100, H200, B200, and GB200 chips.
Who is Together AI for?
The service targets developers, startups, and companies building AI products. It offers fine-tuning with your own data, model evaluations, managed storage for weights, and Sandbox environments for development.
Together AI’s research team actively publishes optimizations such as FlashAttention, ThunderKittens, and DSGym, making the platform attractive for those seeking the fastest and most efficient implementations.
Pros and Cons
Advantages: competitive pricing especially for batch workloads, wide selection of top open models, high inference performance, powerful fine-tuning tools, transparent GPU resource management.
Disadvantages: primary focus on open-source models (fewer ready enterprise solutions), requires technical expertise to get maximum value.
Together AI stands as one of the most technologically advanced players in the AI cloud infrastructure market, providing developers with a powerful and cost-effective foundation for building LLM-powered products.