The GPU Operator on GKE simplifies the management and deployment of GPU workloads by automating the installation and configuration of NVIDIA GPU drivers, Kubernetes device plugins, monitoring tools, and other required components. This Template also ensures that your cluster nodes will be deployed with the GPUs required to run accelerated workloads.
GCP’s official managed Kubernetes Service. Running your GPU Operatorcluster with GKE provides a clean management experience at a great cost. GKE is the most popular way to run Kubernetes on GCP and it's a great choice for new projects thanks to it's easy to use interface.
The GPU Operator allows administrators of Kubernetes clusters to manage GPU nodes just like CPU nodes in the cluster. Instead of provisioning a special OS image for GPU nodes, administrators can rely on a standard OS image for both CPU and GPU nodes and then rely on the GPU Operator to provision the required software components for GPUs.
If you're managing a Kubernetes cluster with GPU nodes on any of the major cloud providers, the GPU Operator can help you manage your GPU nodes more efficiently.
