Overview#

NVIDIA AI Enterprise is a software platform that accelerates every stage of the AI lifecycle - from prototyping to production - across cloud, data center, and edge environments.

The platform is organized into two layers with independent release cadences, allowing organizations to adopt new application capabilities without disrupting validated infrastructure:

  • Application Development - NIM microservices, NeMo tools for agentic AI, Omniverse libraries for physical AI, and AI frameworks and ML libraries, all built on CUDA-X and CUDA.

  • Infrastructure Management - GPU drivers, Run:ai for workload orchestration, vGPU and MIG for GPU partitioning, Kubernetes operators, and Base Command Manager for deploying and managing GPU infrastructure at scale.

The stack is composable - foundation components are common to all deployments, while the remaining components are assembled based on your use case. All components include enterprise support with SLAs, security patches, and maintenance updates.

NVIDIA AI Enterprise platform layers showing Application Development and Infrastructure Management