Global Capacity Orchestrator on AWS
Orchestrate distributed AI/ML and HPC workloads across multi-region AWS infrastructure with capacity-aware scheduling and unified management.
Global Capacity Orchestrator (GCO) simplifies running large-scale accelerated workloads—such as LLM training, distributed inference, batch machine learning, and high-performance computing—across multiple AWS Regions using Amazon EKS Auto Mode, AWS PCS (Slurm), and SageMaker HyperPod. It features automated discovery for NVIDIA GPUs, Trainium, and Inferentia capacity, enabling optimal job placement and automated cross-region inference failover via AWS Global Accelerator. With unified AWS IAM authentication, native CLI support, and a built-in Model Context Protocol (MCP) server, it allows AI agents and engineering teams to manage global computational capacity without the friction of per-cluster credential management.