[doc] add GPU cloud playground (#5851)

* [doc] add GPU cloud playground * [doc] add GPU cloud playground * [doc] add GPU cloud playground * [doc] add GPU cloud playground * [doc] add GPU cloud playground * [doc] add GPU cloud playground * [doc] add GPU cloud playground * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
5 months ago · 4ccaaaab63
6 changed files with 49 additions and 1 deletions
--- a/README.md
+++ b/README.md
@ -9,6 +9,7 @@
   <a href="https://www.colossalai.org/"> Documentation </a> |
   <a href="https://github.com/hpcaitech/ColossalAI/tree/main/examples"> Examples </a> |
   <a href="https://github.com/hpcaitech/ColossalAI/discussions"> Forum </a> |
+   <a href="https://cloud.luchentech.com/">GPU Cloud Playground </a> |
   <a href="https://hpc-ai.com/blog"> Blog </a></h3>

   [![GitHub Repo stars](https://img.shields.io/github/stars/hpcaitech/ColossalAI?style=social)](https://github.com/hpcaitech/ColossalAI/stargazers)
@ -132,6 +133,8 @@ distributed training and inference in a few lines.
 [[blog]](https://hpc-ai.com/blog/open-sora-from-hpc-ai-tech-team-continues-open-source-generate-any-16-second-720p-hd-video-with-one-click-model-weights-ready-to-use)
 [[Model weights]](https://github.com/hpcaitech/Open-Sora?tab=readme-ov-file#model-weights)
 [[Demo]](https://github.com/hpcaitech/Open-Sora?tab=readme-ov-file#-latest-demo)
+[[GPU Cloud Playground]](https://cloud.luchentech.com/)
+[[OpenSora Image]](https://cloud.luchentech.com/doc/docs/image/open-sora/)

 <div align="center">
   <a href="https://youtu.be/ilMQpU71ddI?si=J4JSPzZ03ycYmlki">
@ -143,6 +146,9 @@ distributed training and inference in a few lines.

 ### Colossal-LLaMA-2

+[[GPU Cloud Playground]](https://cloud.luchentech.com/)
+[[LLaMA3 Image]](https://cloud.luchentech.com/doc/docs/image/llama)
+
 - 7B: One half-day of training using a few hundred dollars yields similar results to mainstream large models, open-source and commercial-free domain-specific LLM solution.
 [[code]](https://github.com/hpcaitech/ColossalAI/tree/main/applications/Colossal-LLaMA-2)
 [[blog]](https://www.hpc-ai.tech/blog/one-half-day-of-training-using-a-few-hundred-dollars-yields-similar-results-to-mainstream-large-models-open-source-and-commercial-free-domain-specific-llm-solution)
@ -275,6 +281,8 @@ Acceleration of [AlphaFold Protein Structure](https://alphafold.ebi.ac.uk/)

 - 70 billion parameter LLaMA3 model training accelerated by 18%
 [[code]](https://github.com/hpcaitech/ColossalAI/tree/main/examples/language/llama)
+[[GPU Cloud Playground]](https://cloud.luchentech.com/)
+[[LLaMA3 Image]](https://cloud.luchentech.com/doc/docs/image/llama)

 ### LLaMA2
 <p align="center">
@ -385,6 +393,8 @@ Please visit our [documentation](https://www.colossalai.org/) and [examples](htt
 - Large AI models inference speed doubled, compared to the offline inference performance of vLLM in some cases.
 [[code]](https://github.com/hpcaitech/ColossalAI/tree/main/colossalai/inference)
 [[blog]](https://hpc-ai.com/blog/colossal-inference)
+[[GPU Cloud Playground]](https://cloud.luchentech.com/)
+[[LLaMA3 Image]](https://cloud.luchentech.com/doc/docs/image/llama)

 ### Grok-1
 <p id="Grok-1" align="center">
--- a/applications/Colossal-LLaMA/README.md
+++ b/applications/Colossal-LLaMA/README.md
@ -2,6 +2,12 @@
 <h1>
 Colossal-LLaMA
 </h1>
+
+ <h3>
+ <a href="https://cloud.luchentech.com/">GPU Cloud Playground </a> </a> |
+ <a href="https://cloud.luchentech.com/doc/docs/image/llama"> LLaMA3 Image </a>
+ </h3>
+
 </div>

 ## Table of Contents
--- a/applications/ColossalEval/README.md
+++ b/applications/ColossalEval/README.md
@ -2,6 +2,12 @@
 <h1>
 <img src="https://github.com/hpcaitech/public_assets/blob/main/applications/colossal-llama-2/colossaleval.jpg?raw=true" width=800/>
 </h1>
+
+ <h3>
+ <a href="https://cloud.luchentech.com/">GPU Cloud Playground </a> </a> |
+ <a href="https://cloud.luchentech.com/doc/docs/image/colossal-eval"> Colossal-Eval Image </a>
+ </h3>
+
 </div>

 ## Table of Contents
--- a/applications/README.md
+++ b/applications/README.md
@ -2,6 +2,15 @@

 This directory contains the applications that are powered by Colossal-AI.

+<div align="center">
+
+ <h3>
+ <a href="https://cloud.luchentech.com/">GPU Cloud Playground </a> </a> |
+ <a href="https://cloud.luchentech.com/doc/docs/intro"> Playground Document </a>
+ </h3>
+
+</div>
+
 The list of applications include:

 - [X] [Open-Sora](https://github.com/hpcaitech/Open-Sora): Revealing Complete Model Parameters, Training Details, and Everything for Sora-like Video Generation Models
--- a/docs/README-zh-Hans.md
+++ b/docs/README-zh-Hans.md
@ -9,6 +9,7 @@
   <a href="https://www.colossalai.org/"> 文档 </a> |
   <a href="https://github.com/hpcaitech/ColossalAI/tree/main/examples"> 例程 </a> |
   <a href="https://github.com/hpcaitech/ColossalAI/discussions"> 论坛 </a> |
+   <a href="https://cloud.luchentech.com/">潞晨云 </a> |
   <a href="https://hpc-ai.com/blog"> 博客 </a></h3>

   [![GitHub Repo stars](https://img.shields.io/github/stars/hpcaitech/ColossalAI?style=social)](https://github.com/hpcaitech/ColossalAI/stargazers)
@ -127,6 +128,8 @@ Colossal-AI 为您提供了一系列并行组件。我们的目标是让您的
 [[博客]](https://hpc-ai.com/blog/open-sora-from-hpc-ai-tech-team-continues-open-source-generate-any-16-second-720p-hd-video-with-one-click-model-weights-ready-to-use)
 [[模型权重]](https://github.com/hpcaitech/Open-Sora?tab=readme-ov-file#model-weights)
 [[演示样例]](https://github.com/hpcaitech/Open-Sora?tab=readme-ov-file#-latest-demo)
+[[潞晨云]](https://cloud.luchentech.com/)
+[[OpenSora镜像]](https://cloud.luchentech.com/doc/docs/image/open-sora/)

 <div align="center">
   <a href="https://www.bilibili.com/video/BV1Fm421G7bV">
@ -135,6 +138,8 @@ Colossal-AI 为您提供了一系列并行组件。我们的目标是让您的
 </div>

 ### Colossal-LLaMA-2
+[[潞晨云]](https://cloud.luchentech.com/)
+[[LLaMA3 镜像]](https://cloud.luchentech.com/doc/docs/image/llama)

 - 7B：千元预算半天训练，效果媲美主流大模型，开源可商用中文LLaMA-2
 [[代码]](https://github.com/hpcaitech/ColossalAI/tree/main/applications/Colossal-LLaMA-2)
@ -265,7 +270,9 @@ Colossal-AI 为您提供了一系列并行组件。我们的目标是让您的
 </p>

 - 700亿参数LLaMA3训练加速18%
-[[code]](https://github.com/hpcaitech/ColossalAI/tree/main/examples/language/llama)
+[[代码]](https://github.com/hpcaitech/ColossalAI/tree/main/examples/language/llama)
+[[潞晨云]](https://cloud.luchentech.com/)
+[[LLaMA3 镜像]](https://cloud.luchentech.com/doc/docs/image/llama)

 ### LLaMA2
 <p align="center">
@ -378,6 +385,8 @@ Colossal-AI 为您提供了一系列并行组件。我们的目标是让您的
 - AI大模型推理速度部分接近翻倍，与vLLM的离线推理性能相比
 [[代码]](https://github.com/hpcaitech/ColossalAI/tree/main/colossalai/inference)
 [[博客]](https://hpc-ai.com/blog/colossal-inference)
+[[潞晨云]](https://cloud.luchentech.com/)
+[[LLaMA3 镜像]](https://cloud.luchentech.com/doc/docs/image/llama)

 ### Grok-1
 <p id="Grok-1" align="center">
--- a/examples/README.md
+++ b/examples/README.md
@ -1,4 +1,12 @@
 # Colossal-AI Examples
+<div align="center">
+
+ <h3>
+ <a href="https://cloud.luchentech.com/">GPU Cloud Playground </a> </a> |
+ <a href="https://cloud.luchentech.com/doc/docs/intro"> Playground Document </a>
+ </h3>
+
+</div>

 ## Table of Contents