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distributed-training
Ormus-Solutions ★ 0
This plugin provides expert guidance on scaling PyTorch training across multiple GPUs and nodes using DDP, FSDP, DeepSpeed ZeRO, Megatron-LM, and mixed precision techniques. It includes patterns for launch configuration, memory optimization, and debugging distributed training setups with torchrun and SLURM.
Install
> /plugin marketplace add Ormus-Solutions/LibreMLOps-Claude-Code/tree/HEAD/plugins/distributed-training
> /plugin install distributed-training
Source: https://github.com/Ormus-Solutions/LibreMLOps-Claude-Code/tree/HEAD/plugins/distributed-training
What it's made of
1 command · 1 agent · 1 skill
- Commands
- 1
- Agents
- 1
- Skills
- 1
- MCP servers
- 0
- Hooks
- 0
What it needs & plugs into
- API keys
- none
- Paid services
- none detected
- External tools
- none
- Talks to
- nothing external detected
Analyzed . Facts extracted from the plugin's files. Prose generated by claude-haiku-4-5-20251001.
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