Red Hat to Distribute Nvidia CUDA Across RHEL, Red Hat AI and OpenShift (www.phoronix.com)

Red Hat announced it will distribute the NVIDIA CUDA Toolkit directly across RHEL, Red Hat AI and OpenShift, making CUDA available as a first-class component of its enterprise stack. The move is meant to simplify developer and operator workflows by reducing friction around installing and managing CUDA, ensuring operational consistency across datacenter, cloud and edge deployments, and making it easier to pair Red Hat platforms with the latest NVIDIA hardware and software innovations. Technically, embedding CUDA into RHEL/OpenShift/Red Hat AI streamlines lifecycle and compatibility management for GPU-accelerated workloads—helping with driver/toolkit/version alignment, containerized ML pipelines on OpenShift, and secure deployment practices in enterprise environments. Red Hat emphasizes this isn’t a “walled garden”: the partnership aims to bridge open hybrid-cloud ecosystems and NVIDIA’s proprietary user-space components while preserving customer choice and an enhanced security posture. For AI/ML teams, the integration reduces setup overhead for training and inference, eases heterogenous-accelerator strategies, and should accelerate productionizing GPU workloads across hybrid and edge architectures.