NVIDIA supports the use of graphics processing unit (GPU) resources on {product-title}. {product-title} is a security-focused and hardened Kubernetes platform developed and supported by Red Hat for deploying and managing Kubernetes clusters at scale. {product-title} includes enhancements to Kubernetes so that users can easily configure and use NVIDIA GPU resources to accelerate workloads.
The NVIDIA GPU Operator leverages the Operator framework within {product-title} to manage the full lifecycle of NVIDIA software components required to run GPU-accelerated workloads.
These components include the NVIDIA drivers (to enable CUDA), the Kubernetes device plugin for GPUs, the NVIDIA Container Toolkit, automatic node tagging using GPU feature discovery (GFD), DCGM-based monitoring, and others.
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Note
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The NVIDIA GPU Operator is only supported by NVIDIA. For more information about obtaining support from NVIDIA, see Obtaining Support from NVIDIA. |
modules/nvidia-gpu-sharing-methods.adoc .Additional resources * Improving GPU Utilization
modules/nvidia-gpu-cuda-streams.adoc .Additional resources * Asynchronous Concurrent Execution
modules/nvidia-gpu-cuda-mps.adoc .Additional resources * CUDA MPS
modules/nvidia-gpu-mig-gpu.adoc .Additional resources * NVIDIA Multi-Instance GPU User Guide
modules/nvidia-gpu-virtualization-with-gpu.adoc .Additional resources * Virtual GPUs