Infrastructure requirements for AI workloads are growing rapidly in both complexity and scale. OpenStack’s advantage in meeting these demands lies not only in its mature, modular codebase but also in its open, community-driven development model. Unlike proprietary platforms, OpenStack is engineered by the same community that deploys and operates it in production. This enables rapid iteration and implementation of emerging capabilities, such as multi-tenant GPU scheduling, NUMA-aware placement, and agent-to-agent protocol support for distributed LLM orchestration, without waiting on a vendor-controlled roadmap. As AI workloads become increasingly resource-intensive and latency-sensitive, OpenStack continues to provide a robust virtualization and infrastructure abstraction layer, capable of supporting high-throughput, heterogeneous compute environments through services like Nova, Neutron, Cinder, and Ironic. Its proven scalability and extensibility make it well-suited for the next generation of AI and HPC workloads.

The OpenStack community collaborated to deliver the architectural and technology impact of using OpenStack to support AI workloads in a new white paper: Open Infrastructure for AI: OpenStack’s Role in the Next Generation Cloud.