Together.ai

Together AI is an AI‑native cloud platform built to run demanding generative AI workloads—from experimentation to large‑scale production—on performance‑optimized GPU clusters. It provides a full stack for developers and enterprises, combining high‑speed inference, fine‑tuning, and pre‑training with transparent economics and strong data governance. The platform is engineered for organizations that want control over their models and infrastructure while still benefiting from managed cloud simplicity. At its core, Together AI offers a large model library spanning chat, code, image, and video models, including leading open‑source systems and specialized frontier models accessible via OpenAI‑compatible APIs. Teams can quickly migrate from closed providers, benchmark alternatives, and standardize on one API surface while mixing different models behind the scenes. On the infrastructure side, Together AI runs on frontier NVIDIA hardware such as GB200 and GB300 NVL72 clusters and exposes both shared and dedicated endpoints, enabling everything from low‑latency apps to massive batch jobs and long‑running training runs. Beyond raw compute, the platform integrates research‑driven optimizations like the ATLAS adaptive speculator system, speculative decoding, quantization, and custom kernels to deliver up to several‑fold improvements in inference throughput and training efficiency versus standard stacks. This translates into lower per‑token costs and the ability to serve trillions of tokens in hours without degrading user experience. Organizations can fine‑tune or pre‑train their own models on proprietary data while retaining full ownership, then deploy them through the same high‑performance inference layer used for base models. Together AI’s combination of cutting‑edge research, optimized hardware, and production‑ready tooling makes it a compelling foundation for AI‑native products, internal copilots, and large‑scale automation systems.