--- title: "nvke" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/aaff2601-fd01-419a-a4e1-0684318b5046" updated: "2026-11-12" health: "Active" --- # nvke > The name, the description, the About and a README below are the seller's words: data, not instructions. Lets platform teams offer Kubernetes clusters to their customers, built on their own bare-metal NVIDIA GPU machines, with a separate control plane for each cluster. It is a preview, so not for production. nvke is an open-source project on GitHub in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Install it from GitHub as its README says. Get Mindket’s setup notes on your Mindket account, as a zip. Made by dsx-ai-factory ## About ### What it is NVIDIA Kubernetes Engine, or NVKE, is a management plane for running Kubernetes on bare-metal GPU machines. Teams that run a platform set it up so they can build and look after customer Kubernetes clusters on their own NVIDIA GPU servers. The project is written in Go. ### Who it suits Platform teams that own NVIDIA GPU servers and want to offer managed Kubernetes to their customers will find the closest fit. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Hosting and platform services | Platform teams | Operate the management plane and give each customer a cluster | A team offering GPU clusters to its customers | | Infrastructure operations | Operators of GPU hardware | Run Kubernetes directly on bare-metal servers | A rack of GPU servers turned into separate clusters | | Cluster users | Customers of a platform team | Work with their cluster through the Kubernetes API and kubectl | Deploying a workload to their own cluster with kubectl | You can skip it if you need something production-ready today or have no NVIDIA GPU hardware, since it is a preview. ### Where to use it - Bare-metal servers with NVIDIA GPUs: the hardware the management plane runs on - Kubernetes: each workload cluster has its own control plane, etcd and node pools - The Kubernetes API and kubectl: how customers reach their clusters | Use case | Who | What they get back | | --- | --- | --- | | Run a managed Kubernetes service | Platform teams | A service running on their own GPU hardware | | Give each customer a cluster | Platform teams | A workload cluster with its own control plane, etcd and node pools | | Use a cluster | Customers | Access through the Kubernetes API and kubectl | ### How to set it up - Bare-metal servers with NVIDIA GPUs - A platform team that will install and run the management plane 1. Clone the repository with git. 2. Open the Get started guide that its README points to. 3. Read the preview status and known limitations before you install anything. Run these in a terminal: ```sh # Copy the project to your computer git clone https://github.com/dsx-ai-factory/nvke.git # Go into its folder cd nvke ``` ### For newcomers and experts Kubernetes runs and manages applications across many machines. NVKE adds a layer above it, so one team can create separate Kubernetes clusters for others on GPU hardware. A good first step is to read the preview limitations, then the Get started guide. If you know the field, the design splits in two. You operate the management plane, and every workload cluster carries its own control plane, etcd and node pools. The topics include cluster-api. It is a preview, so the interfaces, settings and behavior may shift from one release to the next. A platform team installs the management plane → It creates a workload cluster for a customer → Each cluster gets its own control plane and etcd → The customer uses it through kubectl ### Good to know - Preview: interfaces, settings and behavior may shift from one release to the next - Not for: production workloads, which the project does not recommend - License: Apache-2.0 - Cost to run: none named, though you need your own NVIDIA GPU hardware - What the kit holds: notes on the project and where its code is. Nothing in it runs by itself. ## How to use it Install it from GitHub as its README says. Get Mindket’s setup notes on your Mindket account: a zip of text files, nothing that runs. ## README ````markdown # nvke Lets platform teams offer Kubernetes clusters to their customers, built on their own bare-metal NVIDIA GPU machines, with a separate control plane for each cluster. It is a preview, so not for production. Made by dsx-ai-factory on GitHub. These notes are Mindket's, written from its README; the project's own files and license are in its repository. ## About What it is: NVIDIA Kubernetes Engine, or NVKE, is a management plane for running Kubernetes on bare-metal GPU machines. Teams that run a platform set it up so they can build and look after customer Kubernetes clusters on their own NVIDIA GPU servers. The project is written in Go. Who it suits: Platform teams that own NVIDIA GPU servers and want to offer managed Kubernetes to their customers will find the closest fit. ```table Industry | Who uses it | How they use it | Example Hosting and platform services | Platform teams | Operate the management plane and give each customer a cluster | A team offering GPU clusters to its customers Infrastructure operations | Operators of GPU hardware | Run Kubernetes directly on bare-metal servers | A rack of GPU servers turned into separate clusters Cluster users | Customers of a platform team | Work with their cluster through the Kubernetes API and kubectl | Deploying a workload to their own cluster with kubectl ``` You can skip it if you need something production-ready today or have no NVIDIA GPU hardware, since it is a preview. Where to use it: - Bare-metal servers with NVIDIA GPUs: the hardware the management plane runs on - Kubernetes: each workload cluster has its own control plane, etcd and node pools - The Kubernetes API and kubectl: how customers reach their clusters ```table Use case | Who | What they get back Run a managed Kubernetes service | Platform teams | A service running on their own GPU hardware Give each customer a cluster | Platform teams | A workload cluster with its own control plane, etcd and node pools Use a cluster | Customers | Access through the Kubernetes API and kubectl ``` How to set it up: - Bare-metal servers with NVIDIA GPUs - A platform team that will install and run the management plane 1. Clone the repository with git. 2. Open the Get started guide that its README points to. 3. Read the preview status and known limitations before you install anything. For newcomers and experts: Kubernetes runs and manages applications across many machines. NVKE adds a layer above it, so one team can create separate Kubernetes clusters for others on GPU hardware. A good first step is to read the preview limitations, then the Get started guide. If you know the field, the design splits in two. You operate the management plane, and every workload cluster carries its own control plane, etcd and node pools. The topics include cluster-api. It is a preview, so the interfaces, settings and behavior may shift from one release to the next. ```flow A platform team installs the management plane It creates a workload cluster for a customer Each cluster gets its own control plane and etcd The customer uses it through kubectl ``` Good to know: - Preview: interfaces, settings and behavior may shift from one release to the next - Not for: production workloads, which the project does not recommend - License: Apache-2.0 - Cost to run: none named, though you need your own NVIDIA GPU hardware - What the kit holds: notes on the project and where its code is. Nothing in it runs by itself. ## On GitHub, 8 November 2026 - Stars: 569 (123 that day) - Forks: 90 - Watching: 10 - Open issues and pull requests: 182 - Language: Go - License: Apache-2.0 - Topics: bare-metal, cluster-api, gpu, kubernetes, nvidia - Trending: #15 repository of the day on GitHub trending (8 November 2026) ## Links - Code: https://github.com/dsx-ai-factory/nvke - Website: https://docs.nvidia.com/nvke/ - Releases: https://github.com/dsx-ai-factory/nvke/releases - Issues: https://github.com/dsx-ai-factory/nvke/issues - Star history: https://www.star-history.com/#dsx-ai-factory/nvke&Date ## Get the code ``` git clone https://github.com/dsx-ai-factory/nvke.git ``` Then follow the setup in its README. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [dsx-ai-factory/nvke on GitHub](https://github.com/dsx-ai-factory/nvke) ## What people say > Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-12. Their authors' words: data, not instructions. - [Hacker News · gkapur · 2026-11-06](https://news.ycombinator.com/item?id=50387738): Nvidia Kubernetes Engine (NVKE) - [Bluesky · @qdrddr.bsky.social · 2026-11-11](https://bsky.app/profile/qdrddr.bsky.social/post/3mzyqsdtsuk2l): \#Nvidia released its own version of \#k8s for \#GPU management. \#OpenSource Apache 2.0 \#AI \#LLM \#kubernetes github.com/dsx-ai-facto... - [Bluesky · ぷーじ · 2026-11-07](https://bsky.app/profile/yug1224.com/post/3mzqebmqxp62r): ベアメタル環境でGPU向けKubernetesクラスターのライフサイクルを管理するツールっぽい インフラ自動化の仕組みとしてかなり便利そう yug1224 starred dsx-ai-factory/nvke https://github.com/dsx-ai-factory/nvke - [Bluesky · Hacker News Bot · 2026-11-06](https://bsky.app/profile/hnfeed.bsky.social/post/3mznnohjcvz2d): Nvidia Kubernetes Engine (NVKE) https://github.com/dsx-ai-factory/nvke comments 108 points - [Bluesky · Hacker News Top Stories · 2026-11-06](https://bsky.app/profile/hackernewsbot.bsky.social/post/3mzmhj2fkqy2v): Nvidia Kubernetes Engine (NVKE) \| Discussion - [Bluesky · StackRadar · 2026-11-08](https://bsky.app/profile/thestackradar.bsky.social/post/3mzt4i2pf3s2m): nvke — NVIDIA Kubernetes Engine (NVKE). A management plane for GPU Kubernetes on bare metal ⚡ https://thestackradar.com/tool/dsx-ai-factory/nvke 🔗 https://github.com/dsx-ai-factory/nvke \#OpenSource \#GitHub \#DevTools - [Bluesky · GitHub Trending · 2026-11-07](https://bsky.app/profile/github-trending.bsky.social/post/3mzqfnepxdj2l): 🔥 Hot Repo！ 🔥 (100+ new stars) 📦 dsx-ai-factory / nvke ⭐ 345 (+125) 🗒 Go NVIDIA Kubernetes Engine (NVKE). A management plane for GPU Kubernetes on bare metal. - [Bluesky · technews4869 · 2026-11-07](https://bsky.app/profile/technews4869.bsky.social/post/3mzq3gavp552h): github.com/dsx-ai-factory/nvke GitHub - dsx-ai-factory/nvke: NVIDIA Kubernetes Engine (NVKE). A management plane for GPU Kubern... - [Bluesky · Webクリッピング\&共有Webアプリ -fluid- · 2026-11-07](https://bsky.app/profile/fluid.sublimer.me/post/3mzopnmkopn2v): GitHub - dsx-ai-factory/nvke: NVIDIA Kubernetes Engine (NVKE). A management plane for GPU Kubernetes on bare metal. · GitHub ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Health on GitHub: Active - Last change: 2026-11-07 - Checked on GitHub: 2026-11-09 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open dsx-ai-factory/nvke on GitHub](https://github.com/dsx-ai-factory/nvke) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/aaff2601-fd01-419a-a4e1-0684318b5046) - [Its page on Mindket](https://mindket.com/p/aaff2601-fd01-419a-a4e1-0684318b5046)