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TKE-50: fix supernode cookbook stale links #62

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8 changes: 4 additions & 4 deletions cookbook/supernode/README.md
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本目录提供在 TKE 超级节点上部署 GPU Pod 的完整示例，包括 Python 脚本和 YAML 配置文件。

**文档链接**: [GPU Pod 最佳实践](https://tke-workshop.github.io/ai-ml/04-gpu-pod-best-practices/)
**文档链接**: [超级节点 GPU](https://tke-workshop.github.io/ai-ml/training/supernode-gpu/)

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Expand Down Expand Up @@ -272,7 +272,7 @@ kubectl get pods -l scenario=batch-inference
| **L20** | 48GB | 12.7 | 高端图形工作负载 | 48核/192GiB |
| **L40** | 48GB | 12.7 | 高端图形工作负载 | 48核/192GiB |

完整规格表请参考: [GPU Pod 最佳实践文档](https://tke-workshop.github.io/ai-ml/04-gpu-pod-best-practices/#支持的-gpu-规格)
更多超级节点 GPU 说明请参考: [超级节点 GPU 文档](https://tke-workshop.github.io/ai-ml/training/supernode-gpu/)

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Expand Down Expand Up @@ -370,7 +370,7 @@ kubectl describe pod <pod-name> | grep -i cache

## 📚 相关文档

- [GPU Pod 最佳实践](https://tke-workshop.github.io/ai-ml/04-gpu-pod-best-practices/)
- [超级节点 GPU](https://tke-workshop.github.io/ai-ml/training/supernode-gpu/)
- [创建超级节点池](https://tke-workshop.github.io/basics/supernode/01-create-supernode-pool/)
- [创建按量超级节点](https://tke-workshop.github.io/basics/supernode/02-create-supernode/)
- [镜像缓存文档](https://cloud.tencent.com/document/product/457/65908)
Expand All @@ -385,7 +385,7 @@ kubectl describe pod <pod-name> | grep -i cache

## 📄 许可证

[Apache License 2.0](../../LICENSE)
Apache License 2.0

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2 changes: 1 addition & 1 deletion cookbook/supernode/deploy_gpu_pod.py
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功能: 在 TKE 超级节点上创建 GPU Pod，支持自动匹配和手动指定 GPU 类型
使用方法: python3 deploy_gpu_pod.py --help
文档链接: https://tke-workshop.github.io/ai-ml/04-gpu-pod-best-practices/
文档链接: https://tke-workshop.github.io/ai-ml/training/supernode-gpu/
"""

import argparse
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2 changes: 1 addition & 1 deletion cookbook/supernode/gpu_pod_examples.yaml
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# GPU Pod 配置示例集合
# 文档: https://tke-workshop.github.io/ai-ml/04-gpu-pod-best-practices/
# 文档: https://tke-workshop.github.io/ai-ml/training/supernode-gpu/

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# 示例 1: 基础 GPU Pod（自动匹配 - 推荐）
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