What Is NVIDIA AI Enterprise and What Does It Include?
NVIDIA AI Enterprise is an end-to-end platform for developing, deploying, and managing AI applications. According to the NVIDIA Documentation Hub, it is organized into two layers — an Application Layer and an Infrastructure Layer — and each component carries its own independent release branches, lifecycle policies, and enterprise support. That structure is the key thing to understand: AI Enterprise is less a single product than a curated set of software pieces that are versioned and supported separately.
Platform positioning
The platform covers the full lifecycle of an AI application: building it, running it in production, and managing it over time. Because it spans both the software frameworks developers write against and the infrastructure software that runs underneath, it is aimed at organizations that want a supported, integrated stack rather than assembling open source components on their own.
What's in the Application Layer
The Application Layer is where AI workloads are built and served. Per the Documentation Hub, it includes:
- AI frameworks — the libraries and toolkits used to develop and train models.
- NIM microservices — a set of easy-to-use microservices for accelerating the deployment of foundation models on any cloud or data center, while helping keep data secure. NIM microservices ship with production-grade runtimes, including ongoing security updates.
- SDKs — software development kits that support application development on the platform.
What's in the Infrastructure Layer
The Infrastructure Layer is what the AI software runs on top of. It includes:
- GPU drivers
- Kubernetes operators
- Cluster management tools
Independent release branches and support
A distinguishing feature of AI Enterprise is that each component has its own release branch, lifecycle policy, and enterprise support. In practice, this means you should check the specific component's documentation for its versioning and support timeline rather than assuming a single platform-wide schedule.
Where to go next
The NVIDIA Documentation Hub lists NVIDIA AI Enterprise alongside related entries such as NVIDIA NIM, the NVIDIA API Documentation (covering NIM and CUDA-X microservices), and NVIDIA Omniverse. If your question is specifically about deploying foundation models, the NIM microservices documentation is the more direct starting point; if it's about the broader supported stack, AI Enterprise is the umbrella.