NVIDIA is announcing two open source projects for building and operating managed Kubernetes services on GPU infrastructure—NVIDIA Kubernetes Engine (NVKE) and NVIDIA Kubernetes Recipes (NVKR). Both are new projects available in public preview.
AI Factory customers often want to consume GPU capacity through the Kubernetes APIs, tools, and ecosystem they already use, with the factory operating their clusters. Delivering this service requires API-driven provisioning, tenant isolation, upgrades, and recovery, backed by service commitments. It also requires qualifying GPU hardware, networking, drivers, and runtime software across GPU generations and Kubernetes versions.
NVKE and NVKR divide this work between cluster management and reproducible software builds. NVKE provides the software to run a managed Kubernetes service, installed on the factory’s infrastructure, with APIs to provision and manage clusters. NVKR builds the operating system images, container images, and packages those clusters need, using recipes that define validated combinations of software versions and GPU generations. AI Factories retain control of their software, operations, service, and customer experience. Teams can adopt NVKE and NVKR projects together or independently.
Both NVKE and NVKR are components of the NVIDIA DSX AI Factory Platform, which helps AI factories design, build, and operate GPU infrastructure. Both projects are available on GitHub under the Apache 2.0 license, so teams can inspect the code, develop in parallel, and contribute improvements. During the public preview, APIs, configuration, and behavior may change between releases. NVKE and NVKR are not yet recommended for production workloads. See preview status and known limitations.
Source: NVIDIA Technical Blog — Read the full article on the original site ↗