Building the hybrid AI factory of the future: Red Hat achieves AI Cloud Ready status for the NVIDIA Cloud Partner (NCP) program
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Building the hybrid AI factory of the future: Red Hat achieves AI Cloud Ready status for the NVIDIA Cloud Partner (NCP) program Enabling Anything-as-a-Service (XaaS) frameworks The path to AI independence and sovereignty The adaptable enterprise: Why AI readiness is disruption readiness About the author Ryan King More like this The efficient enterprise: Scaling intelligence with Mixture of Experts Red Hat and NVIDIA collaborate for a more secure foundation for the agent-ready workforce Technically Speaking | Build a production-ready AI toolbox Technically Speaking | Platform engineering for AI agents Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share Navigating the complexities of AI infrastructure shouldn’t be a barrier to innovation. Red Hat has completed the first phase of AI Cloud Ready status for the NVIDIA Cloud Partner (NCP) program to help address the increasing complexities of AI. NCPs build and operate GPU accelerated AI platforms to deliver and support full-stack, AI-optimized offerings based on the NCP software reference guide. This reference architecture is a proven blueprint for the full stack, including GPU servers, networking, storage, and software, to enable NCPs to deliver AI capacity as reliable, consistent services instead of custom one-off builds. By aligning with the NCP software reference architecture and validation specifications for ISVs, Red Hat provides a consistent foundation for repeatable, enterprise-scale AI deployments. This AI Cloud Ready status helps ensure that Red Hat technologies, such as Red Hat AI , interoperate predictably with the NCP blueprint as deployments scale. Organizations can more easily scale distributed inference, simplify model-to-data integration, and move from pilot to production across hybrid environments with reliable day-to-day operations. This transition to production-ready AI isn’t just a trend—it’s a decisive shift from experimental lab projects to core enterprise infrastructure. Red Hat’s collaboration with NVIDIA provides the co-engineered software foundation for this industrialization: transforming AI from a standalone experiment into an integrated, operationalized engine for business transformation. As a validated ISV, Red Hat enables NCPs to deliver cloud-native resources on-demand within their private datacenters. This move toward an “as-a-service” framework provides the high performance required for training and heavy inference workloads while replacing manual, one-off provisioning with standardized, industrial processes. Built on a security-focused foundation, Red Hat AI helps ensure these “as-a-service” patterns remain consistent to deploy and predictable to operate across hybrid environments.