Hello,
Please, help me with info/manual/doc./study guide that implements NVIDIA L4 GPU, vGPUs assignements on RHEL AI and Data Science environments.
Thanks.
@Mawuena Thanks for reaching out!
Please refer the below manuals for your case study / best practices :
https://www.nvidia.com/content/dam/en-zz/Solutions/Data-Center/l4/PB-11316-001_v01.pdf
https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html
https://docs.nvidia.com/ai-enterprise/deployment/rhel-with-kvm/latest/setting-vgpu-devices.html
https://docs.nvidia.com/vgpu/latest/grid-vgpu-release-notes-red-hat-el-kvm/index.html NVIDIA vGPU on RHEL KVM
NVIDIA GPU architecture : https://docs.redhat.com/en/documentation/openshift_container_platform/4.13/html/architecture/nvidia-...
Accelerate model training on OpenShift AI with NVIDIA GPUDirect RDMA : https://developers.redhat.com/articles/2025/04/29/accelerate-model-training-openshift-ai-nvidia-gpud...
NVIDIA GPU operator on RH OCP : https://docs.nvidia.com/datacenter/cloud-native/openshift/latest/index.html
Setting up NVIDIA vGPU : https://docs.nvidia.com/ai-enterprise/deployment/rhel-with-kvm/latest/setting-vgpu-devices.html
