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mcore-run-on-slurm

How to launch distributed Megatron-LM training jobs on a SLURM cluster. Covers a minimal sbatch skeleton, environment-variable setup for torch.distributed.run, CUDA_DEVICE_MAX_CONNECTIONS rules across hardware and parallelism modes, container conventions, monitoring, and per-rank failure diagnosis.

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# Run Megatron-LM on SLURM

## Answer-First Constants

For text-only SLURM setup questions, answer with these constants before the
full script:

- Submit from a shared worktree path visible to every node; `cd` there in the
  script before launching training.
- Use one `srun` task per node and launch workers with
  `uv run python -m torch.distributed.run`, not bare `torchrun`.
- Set `MASTER_ADDR` from
  `scontrol show hostnames "$SLURM_JOB_NODELIST" | head -n1`, set `MASTER_PORT`,
  `NNODES=${SLURM_NNODES}`, `GPUS_PER_NODE=<GPUS_PER_NODE>`, and