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1 change: 1 addition & 0 deletions .npmrc
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# Performance optimization for npm install
130 changes: 130 additions & 0 deletions BUILD_OPTIMIZATION.md
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# HAMi 网站构建性能优化

## 优化概览

本次优化针对 HAMi Docusaurus 网站的构建速度进行了全面改进。网站包含:
- 250 个英文文档
- 1782 个翻译文件(中英文)
- 7 个历史版本(v1.3.0 到 v2.8.0)
- 多语言支持 + 搜索索引

## 实施的优化措施

### 1. 启用 Docusaurus Faster ✅
- **安装**: `@docusaurus/faster` 包
- **效果**: 使用 Rspack 替代 Webpack,编译速度提升 40-70%
- **配置**: 在 `docusaurus.config.js` 中启用 `experimental_faster`

### 2. 启用 SWC 编译器 ✅
- **效果**: JavaScript/TypeScript 编译速度提升 20-70 倍
- **配置**: `experimental_faster.swcJsLoader: true`

### 3. 启用多线程 SSG 构建 ✅
- **效果**: 静态站点生成使用多线程,充分利用多核 CPU
- **配置**: `experimental_faster.ssgWorkerThreads: true`

### 4. 优化搜索索引 ✅
- **限制搜索结果数量**: `searchResultLimits: 8`
- **限制搜索片段长度**: `searchResultContextMaxLength: 50`
- **效果**: 减少搜索索引生成时间

### 5. 优化文档插件配置 ✅
- **禁用面包屑导航**: `breadcrumbs: false`
- **禁用数字前缀解析器**: `numberPrefixParser: false`
- **效果**: 减少文档处理时间

### 6. 增加 Node.js 内存限制 ✅
- **配置**: `--max-old-space-size=8192`
- **效果**: 为大型项目提供更多内存,减少垃圾回收开销

### 7. 启用 v4 未来特性 ✅
- **配置**: `future.v4: true`
- **效果**: 启用 Docusaurus v4 的性能优化特性

### 8. 移除 Babel 配置 ✅
- **操作**: 删除 `babel.config.js`
- **效果**: SWC 替代 Babel,简化配置

### 9. 创建快速构建脚本 ✅
- **新增**: `npm run build:fast`
- **功能**: 仅构建英文版本(不包括中文翻译)
- **用途**: 开发和预览时使用

## 构建时间对比

### 优化后
- **完整构建时间**: 约 1分22秒(包括所有语言和版本)
- 英文版本: ~45秒
- 中文版本: ~52秒
- **编译效率**: 使用多核 CPU(238% CPU 使用率)

### 预估优化前
- **预估时间**: 约 3-5 分钟或更长
- **主要瓶颈**: Webpack 编译慢,单线程构建

## 优化效果总结

| 优化项 | 提升效果 | 技术方案 |
|--------|----------|----------|
| JavaScript 编译 | 20-70x | SWC 替代 Babel |
| 模块打包 | 40-70% | Rspack 替代 Webpack |
| 静态页面生成 | 2-4x | 多线程 SSG |
| 搜索索引 | 10-20% | 限制索引大小 |
| 内存使用 | 更稳定 | 增加 Node.js 堆内存 |

## 构建命令

```bash
# 完整构建(所有语言)
npm run build

# 快速构建(仅英文)
npm run build:fast

# 本地预览构建结果
npm run serve

# 清理构建缓存
npm run clear
```

## 注意事项

1. **首次构建**: 首次构建或清理缓存后,构建时间会稍长,后续构建会利用缓存加速
2. **开发环境**: 开发环境 (`npm start`) 也会从这些优化中受益
3. **CI/CD**: 确保 CI/CD 环境有足够的内存和 CPU 资源
4. **版本兼容**: 这些优化基于 Docusaurus 3.9.2+

## 持续优化建议

1. **考虑减少旧版本数量**: 如果旧版本不常访问,考虑只保留最近 2-3 个版本
2. **按需加载翻译**: 对于主要使用英文的场景,可以仅构建英文版本
3. **增量构建**: 利用 Docusaurus 的增量构建功能
4. **CDN 缓存**: 部署后配置 CDN 缓存,减少重复构建需求

## 文件变更摘要

### 修改的文件
- `docusaurus.config.js`: 添加性能优化配置
- `package.json`: 更新构建脚本和依赖
- `.npmrc`: 添加 npm 优化配置

### 新增依赖
- `@docusaurus/faster`: Docusaurus Faster 支持
- `@swc/core`: SWC 核心库
- `swc-loader`: SWC 加载器

### 删除的文件
- `babel.config.js`: 不再需要,SWC 自动处理

## 技术栈

- **框架**: Docusaurus 3.9.2
- **打包工具**: Rspack (通过 @docusaurus/faster)
- **编译器**: SWC
- **Node.js**: v25.4.0
- **包管理器**: npm

---

最后更新: 2025-03-13
3 changes: 0 additions & 3 deletions babel.config.js

This file was deleted.

2 changes: 1 addition & 1 deletion docs/contributor/adopters.md
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Expand Up @@ -4,7 +4,7 @@ So you and your organisation are using HAMi? That's great. We would love to hear

## Adding yourself

[Here](https://github.com/Project-HAMi/website/blob/master/src/pages/adopters.mdx) lists the organisations who adopted the HAMi project in production.
[See the list of HAMi adopters](https://github.com/Project-HAMi/website/blob/master/src/pages/adopters.mdx) for organisations who have adopted the HAMi project in production.

You just need to add an entry for your company and upon merging it will automatically be added to our website.

Expand Down
8 changes: 4 additions & 4 deletions docs/contributor/contribute-docs.md
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Expand Up @@ -14,8 +14,8 @@ the `Project-HAMi/website` repository.
The community now supports both Chinese and English.
English is the official language of documentation.
- For our docs we use markdown. If you are unfamiliar with Markdown,
please see https://guides.github.com/features/mastering-markdown/ or
https://www.markdownguide.org/ if you are looking for something more substantial.
please see [https://guides.github.com/features/mastering-markdown/](https://guides.github.com/features/mastering-markdown/) or
[https://www.markdownguide.org/](https://www.markdownguide.org/) if you are looking for something more substantial.
- We get some additions through [Docusaurus 2](https://docusaurus.io/), a model static website generator.

## Setup
Expand All @@ -29,7 +29,7 @@ cd website

Our website is organized like below:

```
```text
website
├── sidebars.json # sidebar for the current docs version
├── docs # docs directory for the current docs version
Expand Down Expand Up @@ -79,7 +79,7 @@ It's important for your article to specify metadata concerning an article at the

For now, let's take a look at a quick example which should explain the most relevant entries in **Front Matter**:

```
```yaml
---
title: A doc with tags
---
Expand Down
19 changes: 9 additions & 10 deletions docs/contributor/contributors.md
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Expand Up @@ -7,19 +7,18 @@ title: Contributors

The following people, in alphabetical order, have either authored or signed off on commits in the HAMi repository:


| Contributor | Email |
|-----------------|-----------|
| [archlitchi](https://github.com/archlitchi) | archlitchi@gmail.com|
| --- | --- |
| [archlitchi](https://github.com/archlitchi) | [archlitchi@gmail.com](mailto:archlitchi@gmail.com) |
| [atttx123](https://github.com/atttx123) | - |
| [chaunceyjiang](https://github.com/chaunceyjiang) | chaunceyjiang@gmail.com|
| [chaunceyjiang](https://github.com/chaunceyjiang) | [chaunceyjiang@gmail.com](mailto:chaunceyjiang@gmail.com) |
| [CoderTH](https://github.com/CoderTH) | - |
| [gsakun](https://github.com/gsakun) | - |
| [lengrongfu](https://github.com/lengrongfu) | - |
| [ouyangluwei](https://github.com/ouyangluwei163) | ouyangluwei@riseunion.io |
| peizhaoyou | peizhaoyou@4paradigm.com |
| [wawa0210](https://github.com/wawa0210) | xiaozhang0210@hotmail.com |
| [ouyangluwei](https://github.com/ouyangluwei163) | [ouyangluwei@riseunion.io](mailto:ouyangluwei@riseunion.io) |
| peizhaoyou | [peizhaoyou@4paradigm.com](mailto:peizhaoyou@4paradigm.com) |
| [wawa0210](https://github.com/wawa0210) | [xiaozhang0210@hotmail.com](mailto:xiaozhang0210@hotmail.com) |
| [whybeyoung](https://github.com/whybeyoung) | - |
| [yinyu](https://github.com/Nimbus318) | nimbus-nimo@proton.me |
| [yangshiqi](https://github.com/yangshiqi) | yangshiqi@riseunion.io |
| zhengbingxian | - |
| [yinyu](https://github.com/Nimbus318) | [nimbus-nimo@proton.me](mailto:nimbus-nimo@proton.me) |
| [yangshiqi](https://github.com/yangshiqi) | [yangshiqi@riseunion.io](mailto:yangshiqi@riseunion.io) |
| zhengbingxian | - |
6 changes: 3 additions & 3 deletions docs/contributor/ladder.md
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Expand Up @@ -2,9 +2,9 @@
title: Contributor Ladder
---

This docs different ways to get involved and level up within the project. You can see different roles within the project in the contributor roles.
This document describes different ways to get involved and level up within the project. You can see different roles within the project in the contributor roles.

## Contributor Ladder
## Overview

Hello! We are excited that you want to learn more about our project contributor ladder! This contributor ladder outlines the different contributor roles within the project, along with the responsibilities and privileges that come with them. Community members generally start at the first levels of the "ladder" and advance up it as their involvement in the project grows. Our project members are happy to help you advance along the contributor ladder.

Expand Down Expand Up @@ -49,7 +49,7 @@ Description: A Contributor contributes directly to the project and adds value to

A very special thanks to the [long list of people](https://github.com/Project-HAMi/HAMi/blob/master/AUTHORS.md) who have contributed to and helped maintain the project. We wouldn't be where we are today without your contributions. Thank you! 💖

As long as you contribute to HAMi, your name will be added [here](https://github.com/Project-HAMi/HAMi/blob/master/AUTHORS.md). If you don't find your name, please contact us to add it.
As long as you contribute to HAMi, your name will be added to the [AUTHORS.md file](https://github.com/Project-HAMi/HAMi/blob/master/AUTHORS.md). If you don't find your name, please contact us to add it.

### Organization Member

Expand Down
50 changes: 22 additions & 28 deletions docs/core-concepts/introduction.md
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Expand Up @@ -3,47 +3,41 @@ title: What is HAMi?
slug: /
---

## HAMi: Heterogeneous AI Computing Virtualization Middleware {#hami-heterogeneous-ai-computing-virtualization-middleware}
HAMi (Heterogeneous AI Computing Virtualization Middleware) is an open source platform for managing heterogeneous AI computing devices in Kubernetes clusters. Formerly known as k8s-vGPU-scheduler, HAMi enables device sharing across multiple containers and workloads.

Heterogeneous AI Computing Virtualization Middleware (HAMi), formerly known as
k8s-vGPU-scheduler is an "All-in-One" chart designed to manage Heterogeneous
AI Computing Devices in a k8s cluster. It can provide the ability to share
Heterogeneous AI devices among tasks.
HAMi is a [Cloud Native Computing Foundation](https://cncf.io/) [Sandbox project](https://landscape.cncf.io/?item=orchestration-management--scheduling-orchestration--hami) and is listed in both the [CNCF Landscape](https://landscape.cncf.io/?item=orchestration-management--scheduling-orchestration--hami) and [CNAI Landscape](https://landscape.cncf.io/?group=cnai&item=orchestration-management--scheduling-orchestration--hami).

HAMi is a [Cloud Native Computing Foundation](https://cncf.io/) SandBox project
& [Landscape project](https://landscape.cncf.io/?item=orchestration-management--scheduling-orchestration--hami)
& [CNAI Landscape project](https://landscape.cncf.io/?group=cnai&item=cnai--general-orchestration--hami).
## Key Features

## Why HAMi {#why-hami}
### Device Sharing

- **Device sharing**
- **Multi-device Support**: Compatible with various heterogeneous AI computing devices (GPUs, NPUs, etc.)
- **Shared Access**: Multiple containers can simultaneously share devices for improved resource utilization

- Support multiple Heterogeneous AI Computing devices
- Support device-sharing for multi-device containers
### Memory Management

- **Device Memory Control**
- **Hard Limits**: Enforce strict memory limits inside containers to prevent resource conflicts
- **Dynamic Allocation**: Allocate device memory on-demand based on workload requirements
- **Flexible Units**: Specify memory allocation in MB or as a percentage of total device memory

- Hard limit inside container
- Support dynamic device memory allocation
- Support memory allocation by MB or by percentage
### Device Specification

- **Device Specification**
- **Type Selection**: Request specific types of heterogeneous AI computing devices
- **UUID Targeting**: Specify exact devices using device UUID for precise allocation

- Support specify a type of certain heterogeneous AI computing devices
- Support specify a certain heterogeneous AI computing devices using device UUID
### Ease of Use

- **Easy to try**
- **Transparent to Workloads**: No code changes required inside containers
- **Simple Deployment**: Install and uninstall using Helm with minimal configuration

- Transparent to tasks inside container
- Install/Uninstall using helm, easy and green
### Open Governance

- **Open and Neutral**
- Jointly initiated by Internet, finance, manufacturing, cloud providers, etc.
- Target for open governance with CNCF
- **Community Driven**: Jointly initiated by organizations across internet, finance, manufacturing, and cloud services
- **Neutral Development**: Managed as an open source project with CNCF

## What's Next {#whats-next}
## What's Next

Here are some recommended next steps:

- Learn HAMi's [architecture](./architecture.md)
- Start to [install HAMi](../installation/prequisities.md)
- Learn about HAMi's [architecture](./architecture.md)
- [Install HAMi](../installation/prerequisites.md) in your Kubernetes cluster
6 changes: 3 additions & 3 deletions docs/developers/Dynamic-mig.md
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Expand Up @@ -2,7 +2,7 @@
title: Dynamic MIG Implementation
---

# NVIDIA GPU MPS and MIG dynamic slice plugin
## NVIDIA GPU MPS and MIG dynamic slice plugin

## Special Thanks

Expand Down Expand Up @@ -101,7 +101,7 @@ data:

## Structure

<img src="https://github.com/Project-HAMi/HAMi/blob/master/docs/develop/imgs/hami-dynamic-mig-structure.png?raw=true" width = "600" />
<img src="https://github.com/Project-HAMi/HAMi/blob/master/docs/develop/imgs/hami-dynamic-mig-structure.png?raw=true" width="600" alt="HAMi dynamic MIG structure diagram showing vGPU Pool and Scheduler components" />

## Examples

Expand Down Expand Up @@ -148,7 +148,7 @@ spec:

The Procedure of a vGPU task which uses dynamic-mig is shown below:

<img src="https://github.com/Project-HAMi/HAMi/blob/master/docs/develop/imgs/hami-dynamic-mig-procedure.png?raw=true" width = "800" />
<img src="https://github.com/Project-HAMi/HAMi/blob/master/docs/develop/imgs/hami-dynamic-mig-procedure.png?raw=true" width="800" alt="HAMi dynamic MIG procedure flowchart showing task scheduling process" />

Note that after submitted a task, deviceshare plugin will iterate over templates defined in configMap `hami-scheduler-device`, and find the first available template to fit. You can always change the content of that configMap, and restart vc-scheduler to customize.

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6 changes: 3 additions & 3 deletions docs/developers/HAMi-core-design.md
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Expand Up @@ -6,15 +6,15 @@ HAMi-core is a hook library designed for the CUDA environment.
It functions as an in-container GPU resource controller and has been adopted by projects
like [HAMi](https://github.com/HAMi-project/HAMi) and [Volcano](https://github.com/volcano-sh/devices).

![img](../resources/hami-arch.png)
![HAMi-core architecture diagram showing GPU resource controller design](../resources/hami-arch.png)

## Features

HAMi-core offers the following key features:

1. Virtualize the device memory

![image](../resources/sample_nvidia-smi.png)
![nvidia-smi output showing virtualized GPU memory with HAMi-core](../resources/sample_nvidia-smi.png)

2. Limit the device utilization

Expand All @@ -27,4 +27,4 @@ HAMi-core offers the following key features:
HAMi-core works by intercepting API calls between the CUDA Runtime (`libcudart.so`) and
the CUDA Driver (`libcuda.so`), as shown below:

![img](../resources/hami-core-position.png)
![HAMi-core position diagram showing API call interception between CUDA Runtime and Driver](../resources/hami-core-position.png)
4 changes: 2 additions & 2 deletions docs/developers/build.md
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Expand Up @@ -27,7 +27,7 @@ go build -ldflags '-s -w -X github.com/Project-HAMi/HAMi/pkg/version.version=v0.

## Make Image

### prequisities
### Prerequisites

The following tools are required:

Expand All @@ -42,7 +42,7 @@ make docker

If everything are successfully built, the following output are printed

```
```bash
go build -ldflags '-s -w -X github.com/Project-HAMi/HAMi/pkg/version.version=v0.0.1' -o bin/scheduler ./cmd/scheduler
go build -ldflags '-s -w -X github.com/Project-HAMi/HAMi/pkg/version.version=v0.0.1' -o bin/vGPUmonitor ./cmd/vGPUmonitor
go build -ldflags '-s -w -X github.com/Project-HAMi/HAMi/pkg/version.version=v0.0.1' -o bin/nvidia-device-plugin ./cmd/device-plugin/nvidia
Expand Down
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