Together AI Cloud Platform

A full-stack AI cloud platform providing accelerated inference, model training, and fine-tuning capabilities powered by cutting-edge systems research. The platform delivers up to 2x faster inference speeds and 60% lower costs compared to alternatives through workload-specific optimization techniques developed in-house. Serverless inference allows developers to run open-source models on demand without managing infrastructure, while dedicated and batch inference options support high-volume production workloads. A proprietary Together Kernel Collection accelerates pre-training by up to 90% on NVIDIA HGX hardware. The platform supports model shaping through fine-tuning, distillation, and continuous pre-training pipelines, enabling teams to customize foundation models for specific use cases. Research contributions include speculative decoding for reinforcement learning rollouts, multi-GPU kernel optimization benchmarks, and open-source video translation tools. The company has published at top-tier academic venues including NeurIPS, ICML, and ICLR, and collaborates with academic institutions including Oxford University and Stanford. Customers span AI-native startups and enterprises building generative AI applications, with the platform handling massive-scale inference workloads across its optimized GPU infrastructure.