What can I use NVKE for?

Follow the local quickstart on a Linux host, and you get a test management plane and a workload cluster running on simulated machines. Request a new cluster through the API or nvkectl, and you get a separate Kubernetes cluster with its own control plane and node pools. Create or delete node pools in a workload cluster, and you change which groups of machines that cluster runs on.

What do I need to use NVKE?

To evaluate: a Linux host or VM (amd64 or arm64) with at least 6 CPUs, 12 GiB free memory, 100 GiB free disk, and Docker. Real installs need your own machines and NVIDIA Infra Controller.

NVKE: Run managed Kubernetes clusters on your own NVIDIA GPU machines

What it does

NVKE is NVIDIA's preview management plane for running Kubernetes, a system that runs software across many machines, on GPU servers you own. You request clusters through its API or the nvkectl tool; it gets machines through NVIDIA Infra Controller and gives each customer cluster its own control plane. It also scales node pools and upgrades Kubernetes.

How to use it

To try it without GPUs, follow the local quickstart on a Linux machine; it creates a test management plane and a workload cluster on simulated machines. For a real install, follow the installation planning guide first. Developers can also build it from source with Go and Make.

Common use cases

Follow the local quickstart on a Linux host, and you get a test management plane and a workload cluster running on simulated machines.
Request a new cluster through the API or nvkectl, and you get a separate Kubernetes cluster with its own control plane and node pools.
Create or delete node pools in a workload cluster, and you change which groups of machines that cluster runs on.

Can I use this?

Setup details on the source page

Requirements It runs on your own Linux machines. The quickstart needs a Linux host or virtual machine with Docker; on macOS, a guide runs the evaluation inside a Colima virtual machine. Real installs need your own nodes, networking, node images and registries. Licensed under Apache-2.0.

Caveat The management cluster cannot upgrade, scale or replace itself, and there is no management-plane upgrade or backup and restore procedure. NVIDIA Infra Controller is the only compatible infrastructure provider in the preview.

Worth knowing Preview release: APIs and behavior can change, and it is not recommended for production. API sign-in is off and traffic uses plain HTTP until you configure authentication.

Why it's here

710 people have starred it on GitHub.

Numbers as of 8 November 2026, from BuildTube’s latest daily refresh.

Behind it

View setup guide

BuildTube has not run or verified this project. Everything above is written from what the creator published.

Made this?

Quick questions

What is NVKE?: NVKE is NVIDIA's preview management plane for running Kubernetes, a system that runs software across many machines, on GPU servers you own.
What can I use NVKE for?: Follow the local quickstart on a Linux host, and you get a test management plane and a workload cluster running on simulated machines. Request a new cluster through the API or nvkectl, and you get a separate Kubernetes cluster with its own control plane and node pools. Create or delete node pools in a workload cluster, and you change which groups of machines that cluster runs on.
Can I run NVKE on my computer?: It runs on your own Linux machines. The quickstart needs a Linux host or virtual machine with Docker; on macOS, a guide runs the evaluation inside a Colima virtual machine.
What do I need to use NVKE?: To evaluate: a Linux host or VM (amd64 or arm64) with at least 6 CPUs, 12 GiB free memory, 100 GiB free disk, and Docker. Real installs need your own machines and NVIDIA Infra Controller.
What license does NVKE use?: Licensed under Apache-2.0.

More from this week

agent-desktop Let AI agents read and click desktop apps
For developers building computer-use agents: agent-desktop lets an AI agent read and operate desktop apps on Mac, Windows or Linux from a command line.
+13,858 stars this weekAdded 3 Nov
Auto-Ontology Give AI agents checked business meanings for your database
Help AI agents answer questions about company databases using reviewed definitions and SQL, with each answer showing its steps.
+9,044 stars this weekNeeds a local setupAdded 4 Nov
Spec Kit Turn a written spec into plans, tasks and code
Spec Kit gives your AI coding agent a step-by-step process to build a feature, fix a bug or assess an idea.
+4,280 stars this weekAdded 2 Nov

Related projects

NVIDIA-Nemotron-3.5-Transcribe-30B-A4B Transcribe hour-long recordings (34B)
Same topic: nvidia
Needs a model setupAdded 30 Oct
OpenWhispr Turn your voice into text with a hotkey
Same topic: nvidia
Desktop appAdded 29 Oct
Bend Force an AI to mathematically prove its code has no bugs
Same topic: gpu
Runs in a terminalAdded 25 Sept
NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16 Ask about documents and video
Same topic: nvidia
Needs a model setupAdded 18 Oct
NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16 Ask about images and video
Same topic: nvidia
Needs a model setupAdded 20 Oct
Qwen3.8-Flash-Next-FP4-Local Answer questions about images and video (125B)
Same topic: nvidia
Needs a model setupAdded 21 Oct

Explore by topic

Post this

For makers

Made this? Show it’s on BuildTube — add the badge to your README or embed the card on your site.

README badge (Markdown)

[![Featured on BuildTube](https://buildtube.app/badge/gh-dsx-ai-factory-nvke.svg)](https://buildtube.app/p/gh-dsx-ai-factory-nvke/)

Embed card (HTML)

<iframe src="https://buildtube.app/embed/gh-dsx-ai-factory-nvke/" width="560" height="240" style="border:0;max-width:100%" loading="lazy" title="NVKE on BuildTube"></iframe>