Jessy-Huang/ubuntu22.04-rtx50series-blackwell-iso

---
license: apache-2.0
task_categories:
- robotics
language:
- zh
- en
tags:
- nvidia
- rtx50series
- blackwell
- ubuntu
- iso
- rtx5080
- rtx5090
pretty_name: Ubuntu 22.04 for RTX 50 Series (Blackwell)
---

# Ubuntu 22.04 LTS 定制镜像 (专为 NVIDIA RTX 50 系列显卡优化)

## 📋 项目背景 (Project Background)
目前（2026年初），NVIDIA RTX 50 系列（Blackwell 架构，如 **RTX 5080 / 5090**）已正式发布。然而，由于硬件架构极新，传统的 Ubuntu 官方安装镜像在这些显卡上存在严重的兼容性问题。

本镜像由Jessy(杰西）制作，集成了最新的 **NVIDIA 570 系列生产分支驱动**，旨在为具身智能（Embodied AI）及深度学习开发者提供“开箱即用”的底层环境。

---

📋 为什么需要这个镜像？
如果你正在为新配的 RTX 50 系列（5080/5090 等） 工作站安装 Ubuntu 22.04，大概率会遇到死活进不去安装界面的情况。

🚫 传统的“救命药方”失效了
通常遇到显卡不兼容导致的黑屏，网上的常规解法是：

在 GRUB 界面开启 nomodeset（通用驱动模式）。

但实测证明： 对于架构大改的 RTX 50 系显卡，开启 nomodeset 后依然会黑屏或卡死。这是因为 22.04 原始镜像的内核和基础驱动对 Blackwell 架构的兼容性极差，连基本的低分辨率画面都难以维持.

💡 常见的“折磨”方案：
拔卡/插集显：如果主板有集显，强行切到集显输出。

亮机卡过渡：先插一张旧显卡装好驱动，再换回 5080。

升级 24.04：虽然 24.04 兼容性稍好，但对于需要特定版本（如 LeRobot, CUDA 11.x 等）的实验室项目，22.04 仍是刚需。

本镜像直接跳过这些折磨： 笔者通过 `Cubic` 工具在制作时已预装 NVIDIA 570 系列生产分支驱动。你不需要设置 nomodeset，直接“亮机”进入安装界面，一步到位。

---

## 🛠️ 系统配置明细 (System Specs)
* **基础系统**: Ubuntu 22.04.4 LTS (Jammy Jellyfish)
* **内核版本**: 6.8.0-40-generic (HWE)
* **显卡驱动**: NVIDIA 570.xx (支持 RTX 5080/5090)
* **适用场景**: 具身智能开发、LeRobot 框架部署、VLA 模型训练、大模型推理。

---

## 🚀 使用指南 (Getting Started)

### 1. 烧录镜像
使用 [Rufus](https://rufus.ie/) (Windows) 或 [BalenaEtcher](https://www.balena.io/etcher/) (Mac/Linux) 将此 ISO 写入 16GB 以上的 U 盘。

### 2. BIOS 关键设置 (非常重要)
* **必须关闭 Secure Boot**：由于集成了第三方 NVIDIA 驱动，开启 Secure Boot 会导致驱动加载失败（除非你自行进行 MOK 签名）。
* **模式选择**：确保使用 **UEFI 模式** 引导。

### 3. 安装建议
* 安装时请联网，以便系统自动配置必要的底层库。
* 安装完成后，直接打开终端输入 `nvidia-smi` 即可看到 5080 的运行状态。

### 安装过程可以参考下面的链接：
https://iklxo6z9yv.feishu.cn/docx/B1fDdwMIoo8DZLxBCXycMDE2nHd?from=from_copylink

---

## 🛡️ 文件校验 (Verification)
在下载后，请务必核对 SHA256 校验码以确保文件完整：
```bash
# 校验命令
sha256sum [你的镜像文件名].iso

# 结果预期
[在此处粘贴你生成的校验码]
```

## 🤝 贡献与交流
本镜像主要用于学术交流与科研部署，欢迎在 Hugging Face 讨论区反馈使用情况。

---

license: apache-2.0
task_categories:
- robotics
language:
- zh
- en
tags:
- nvidia
- rtx50series
- blackwell
- ubuntu
- iso
- rtx5080
- rtx5090
pretty_name: Ubuntu 22.04 for RTX 50 Series (Blackwell)

# Ubuntu 22.04 LTS Custom Image (Optimized for NVIDIA RTX 50 Series GPUs)

## 📋 Project Background
As of early 2026, the NVIDIA RTX 50 series (based on the Blackwell architecture, e.g., **RTX 5080 / 5090**) has been officially released. However, due to its cutting-edge hardware architecture, the official Ubuntu installation images suffer from severe compatibility issues on these GPUs.

This custom image, created by Jessy, integrates the latest **NVIDIA 570 series production branch drivers**, aiming to provide a plug-and-play underlying environment for embodied AI and deep learning developers.

---

## 📋 Why Use This Image?
If you are installing Ubuntu 22.04 on a newly built workstation equipped with RTX 50 series GPUs (e.g., 5080/5090), you will most likely fail to enter the installation interface.

## 🚫 Traditional "Quick Fixes" No Longer Work
When encountering black screens caused by GPU compatibility issues, the common solution online is to enable nomodeset (generic driver mode) in the GRUB menu. However, actual tests show that for the completely rearchitected RTX 50 series GPUs, enabling nomodeset still results in black screens or freezes. This is because the kernel and base drivers in the original 22.04 image have extremely poor compatibility with the Blackwell architecture, failing to even maintain a basic low-resolution display.

## 💡 Common Frustrating Workarounds
- Remove the GPU and use integrated graphics: If the motherboard has integrated graphics, force output to the integrated GPU.
- Use a legacy GPU as a boot adapter: Install the OS with an older GPU first, then swap back to the RTX 5080.
- Upgrade to Ubuntu 24.04: While 24.04 has slightly better compatibility, Ubuntu 22.04 remains a mandatory requirement for lab projects that need specific versions (e.g., LeRobot, CUDA 11.x, etc.).

This custom image skips all these frustrating steps: The creator pre-installed the NVIDIA 570 series production branch drivers during the build using the `Cubic` tool. You do not need to configure nomodeset, and can directly boot into the installation interface without issues, completing the setup in one go.

---

## 🛠️ System Specifications
* **Base System**: Ubuntu 22.04.4 LTS (Jammy Jellyfish)
* **Kernel Version**: 6.8.0-40-generic (HWE)
* **GPU Driver**: NVIDIA 570.xx (supports RTX 5080/5090)
* **Use Cases**: Embodied AI development, LeRobot framework deployment, VLA model training, LLM inference.

---

## 🚀 Getting Started

### 1. Flash the Image
Use [Rufus](https://rufus.ie/) (Windows) or [BalenaEtcher](https://www.balena.io/etcher/) (Mac/Linux) to write this ISO image to a USB drive with a capacity of 16GB or larger.

### 2. Critical BIOS Settings (Extremely Important)
- **Disable Secure Boot**: Since third-party NVIDIA drivers are integrated, enabling Secure Boot will cause driver loading failures (unless you perform MOK signing yourself).
- **Boot Mode**: Ensure the system boots in **UEFI mode**.

### 3. Installation Recommendations
- Connect to the internet during installation to allow the system to automatically configure necessary underlying libraries.
- After installation, open a terminal and run `nvidia-smi` to view the operational status of the RTX 5080.

For a detailed installation guide, refer to the following link: https://iklxo6z9yv.feishu.cn/docx/B1fDdwMIoo8DZLxBCXycMDE2nHd?from=from_copylink

---

## 🛡️ File Verification
After downloading, please verify the SHA256 checksum to ensure file integrity:
bash
# Verification Command
sha256sum [your-image-filename].iso

# Expected Result
[Paste your generated checksum here]

---

## 🤝 Contributions & Community
This image is primarily intended for academic exchange and scientific research deployment. Feel free to share your usage experience in the Hugging Face discussion forum.