Anyscale

Anyscale, created by the developers of Ray, an open-source distributed computing framework with more than 500 million downloads and 41,000-plus GitHub stars, is a platform for running large-scale AI workloads including distributed model training, multimodal data curation, batch embedding generation, and post-training inference on GPU clusters. It offers distributed training orchestration across GPU clusters with elastic scaling, large-scale data processing pipelines for video, image, text, and audio, batch embedding generation at scale, and multi-cloud execution across AWS, GCP, and Azure. Anyscale provides fine-grained hardware allocation across CPUs, GPUs, and TPUs, advanced observability, secure governance with SSO/SAML support, and native support for PyTorch, vLLM, and other AI frameworks. Customers include Coinbase, Character.ai, Physical Intelligence, and Runway, with reported improvements like 13x faster model loading. Anyscale offers a free tier with $100 in starting credit, with further pricing available on request.