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[doc] add Intel cooperation for biomedicine (#3108) 

* [doc] add Intel cooperation for biomedicine
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binmakeswell 2023-03-11 15:21:45 +08:00 committed by GitHub
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12
README-zh-Hans.md
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@ -196,6 +196,10 @@ Colossal-AI 为您提供了一系列并行组件。我们的目标是让您的
- [Energon-AI](https://github.com/hpcaitech/EnergonAI) ：用相同的硬件推理加速50%
<p id="OPT-Serving" align="center">
<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/BLOOM%20serving.png" width=600/>
</p>
- [OPT推理服务](https://colossalai.org/docs/advanced_tutorials/opt_service): 体验1750亿参数OPT在线推理服务
<p id="BLOOM-Inference" align="center">
@ -265,6 +269,12 @@ Colossal-AI 为您提供了一系列并行组件。我们的目标是让您的
- [FastFold](https://github.com/hpcaitech/FastFold): 加速AlphaFold训练与推理、数据前处理、推理序列长度超过10000残基
<p id="FastFold-Intel" align="center">
<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/data%20preprocessing%20with%20Intel.jpg" width=600/>
</p>
- [FastFold with Intel](https://github.com/hpcaitech/FastFold): 3倍推理加速和39%成本节省
<p id="xTrimoMultimer" align="center">
<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/xTrimoMultimer_Table.jpg" width=800/>
</p>
@ -280,7 +290,7 @@ Colossal-AI 为您提供了一系列并行组件。我们的目标是让您的
- PyTorch >= 1.11 (PyTorch 2.x 正在适配中)
- Python >= 3.7
- CUDA >= 11.0
如果你遇到安装问题，可以向本项目 [反馈](https://github.com/hpcaitech/ColossalAI/issues/new/choose)。

14
README.md
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@ -198,6 +198,10 @@ Please visit our [documentation](https://www.colossalai.org/) and [examples](htt
- [Energon-AI](https://github.com/hpcaitech/EnergonAI): 50% inference acceleration on the same hardware
<p id="OPT-Serving" align="center">
<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/BLOOM%20serving.png" width=600/>
</p>
- [OPT Serving](https://colossalai.org/docs/advanced_tutorials/opt_service): Try 175-billion-parameter OPT online services
<p id="BLOOM-Inference" align="center">
@ -264,7 +268,13 @@ Acceleration of [AlphaFold Protein Structure](https://alphafold.ebi.ac.uk/)
<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/FastFold.jpg" width=800/>
</p>
- [FastFold](https://github.com/hpcaitech/FastFold): accelerating training and inference on GPU Clusters, faster data processing, inference sequence containing more than 10000 residues.
- [FastFold](https://github.com/hpcaitech/FastFold): Accelerating training and inference on GPU Clusters, faster data processing, inference sequence containing more than 10000 residues.
<p id="FastFold-Intel" align="center">
<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/data%20preprocessing%20with%20Intel.jpg" width=600/>
</p>
- [FastFold with Intel](https://github.com/hpcaitech/FastFold): 3x inference acceleration and 39% cost reduce.
<p id="xTrimoMultimer" align="center">
<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/xTrimoMultimer_Table.jpg" width=800/>
@ -281,7 +291,7 @@ Requirements:
- PyTorch >= 1.11 (PyTorch 2.x in progress)
- Python >= 3.7
- CUDA >= 11.0
If you encounter any problem about installation, you may want to raise an [issue](https://github.com/hpcaitech/ColossalAI/issues/new/choose) in this repository.
### Install from PyPI