[Docs] Complete official website documentation

[JesseStutler]

/kind documentation

Background

Currently, there are too few feature introductions and usage guide documents on our official website. We need to add some. This issue is used to track what needs to be added to the official website document. First, we need to add a Key Features item to the side menu on the documentation page.

• Features that need to be added in the Key Features part: The first is the features that will be released in v2.0:

  • [x] hierarchical queue https://github.com/volcano-sh/website/pull/331
  • [x] volcano global #337
  • [x] descheduler https://github.com/volcano-sh/website/pull/336
  • [x] Colocation of online and offline jobs https://github.com/volcano-sh/website/pull/336
  • [ ] volcano dashboard
  • [x] network topology #337

  Other features:

  • [x] Volcano queue introduction and usage guidance (such as the difference between capacity and proportion...) https://github.com/volcano-sh/website/pull/331
  • [x] Fully compatible with K8S, Unified Scheduling https://github.com/volcano-sh/website/pull/331
  • [ ] vgpu
  • More features if you'd like to introduce...

  And we need to keep adding features introduction that were not added to the official website before

• Introduction to Plugins: Currently, Plugins are introduced in plugins.md in the Scheduler menu. The introduction of each plugin is too simple, and there is no introduction to how to use it. Moreover, there are currently many newly added plugins that are not in the plugins.md, such as capacity, deviceshare, etc.

  • [ ] capacity
  • [ ] deviceshare
  • [ ] nodegroup
  • [ ] network toplogy
  • More plugins...

• Ecosystem

  • [ ] Ray

• [x] Introduction update: https://github.com/volcano-sh/website/pull/332

• Cli

• Talk Volcano 在 Kubernetes 中运行高性能作业实践 @ ArchSummit 2019 Volcano：基于云原生的高密计算解决方案 @ Huawei Connection 2019 Improving Performance of Deep Learning Workloads With Volcano @ KubeCon 2019 NA Batch Capability of Kubernetes Intro @ KubeCon 2019 NA Optimizing Knowledge Distillation Training With Volcano @ KubeCon 2021 EU Exploration About Mixing Technology of Online Services and Offline Jobs Based On Volcano @ KubeCon 2021 China Volcano - Cloud Native Batch System for AI, BigData and HPC @ KubeCon 2022 EU How to Leverage Volcano to Improve the Resource Utilization of AI Pharmaceuticals, Autonomous Driving, and Smart Buildings @ KubeCon 2023 EU Run Your AI Workloads and Microservices on Kubernetes More Easily and Efficiently @ KubeCon 2023 China Optimize LLM Workflows with Smart Infrastructure Enhanced by Volcano @ KubeCon 2024 China How Volcano Enable Next Wave of Intelligent Applications @ KubeCon 2024 China Leverage Topology Modeling and Topology-Aware Scheduling to Accelerate LLM Training @ KubeCon 2024 China