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Language Model (LLM) GPU cluster to ensure stable and reliable operation of training tasks; (b) handle GPU node failures, IB network anomalies, CUDA/NCCL errors and Kubernetes scheduling failures, perform
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, scheduling policies and container runtime environment setup (Docker/Containerd); (c) build the software stack for the NVIDIA cluster, including CUDA, NVIDIA drivers, Fabric Manager, PyTorch Distributed and
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