AI brief
AWS described a reproducible sample for fine-tuning the Qwen2.5-1.5B model with PyTorch FSDP across eight GPUs on two EFA-enabled g6.12xlarge instances on Amazon EKS, using Ray Train Deep Learning Containers that ship the full CUDA-through-EFA stack.
Why it matters: It shows a setup for distributed model fine-tuning on AWS that avoids building a custom container image.
Written by AI from AWS Machine Learning Blog's published text.
Source
“The Ray Train Deep Learning Container ships the full CUDA-through-EFA stack, so you build no image.”
Published by the organisation it describes; treat claims as first-party statements.
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