Support Matrix

The support matrix outlines the verified compatibility standards for NVIDIA Run:ai v2.21. To ensure a stable and performant deployment, all infrastructure components, including Kubernetes/OpenShift distributions, NVIDIA Operators, and specialized frameworks, must align with the versions specified below. Use this matrix as a validation checklist prior to performing new installations or upgrades.

Operator and Framework Versions

Component

Supported Versions

NVIDIA GPU Operator

24.9-25.3

NVIDIA Network Operator

24.4-25.10

NVIDIA DRA driver

25.3-25.8

Prometheus / Kube‑Prometheus Stack

2.53 / 61.0 and above

Kubeflow Training Operator

1.9.2

MPI Operator

0.6.0 or later

Knative Serving

1.11 – 1.16

Supported NVIDIA GPUs

NVIDIA Run:ai v2.21 is compatible with all Data Center GPUs supported by the NVIDIA GPU Operator. Hardware compatibility is determined by the specific version of the GPU Operator deployed within your cluster.

Supported operator range - NVIDIA Run:ai v2.21 supports GPU Operator versions 24.9 through 25.3.
Hardware verification - To confirm if a specific GPU model is supported, please cross-reference your Operator version with the Supported NVIDIA Data Center GPUs and Systems documentation.

Note

NVIDIA DGX Spark and NVIDIA Jetson are not supported.
In addition to GPU Operator compatibility, support also depends on the framework being used (for example, CUDA, PyTorch, TensorFlow, or NVIDIA NIM). Before running a workload, verify that the selected framework version supports your target GPU architecture according to the relevant support matrix.

Orchestration Platform Compatibility

NVIDIA Run:ai v2.21 supports a wide range of Kubernetes distributions across on-premises, hybrid, and public cloud environments. Use the table below to verify version requirements for your specific platform.

Orchestration Platform

Versions

Engine

x86

ARM

Upstream Kubernetes

1.30-1.32

Containerd

Supported

Red Hat OpenShift

4.14-4.18

CRI-O

Supported

Not supported

Amazon Elastic Kubernetes Engine (EKS)