Anyscale

Anyscale is a platform for building, running, and scaling data-intensive AI workloads, powered by Ray. It helps teams scale distributed training, multimodal data curation, batch embedding generation, and post-training pipelines across GPU clusters, with fine-grained control over hardware allocation and multi-cloud orchestration.

Key Features

• Scale AI libraries like PyTorch, vLLM, SGLang, and XGBoost with Python APIs.
• Fine-grained hardware allocation: assign specific CPUs, GPUs, or TPUs per task.
• Multi-cloud execution: run workloads on AWS, GCP, Azure, Nebius, or CoreWeave without cloud-specific rewrites.
• Advanced observability for GPU utilization and performance.
• Seamless agent-first experience for managing workloads.

Who It’s For

Foundation model builders, AI engineers, and ML platform teams who need to efficiently manage GPU resources and scale data-intensive pipelines.

Key Benefits

• Simple Python APIs for distributed scaling
• Fine-grained hardware allocation (CPUs, GPUs, TPUs)
• Multi-cloud orchestration across clouds like AWS, GCP, Azure
• Advanced observability for GPU workloads