Individual skill
distributed-training
Use when training models across multiple GPUs or nodes, handling large models that don't fit in memory, or optimizing training throughput - covers DDP, FSDP, DeepSpeed ZeRO, model/data parallelism, and gradient checkpointingUse when ", " mentioned.
skills/distributed-training/SKILL.md
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- Last checked
- Nov 7, 2026
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- Repository last updated
- Jan 22, 2026
- License
- Apache-2.0
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- ai-agents Repository topic
- antigravity Repository topic
- antigravity-ide Repository topic
- skills Repository topic
- data Derived category
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SKILL.mdcore · 1,151 bytesSKILL.mdcore · 1,151 bytesreferences/patterns.mddoc · 3,309 bytesreferences/sharp_edges.mddoc · 5,889 bytesreferences/validations.mddoc · 2,724 bytes
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# Distributed Training
## Identity
## Reference System Usage
You must ground your responses in the provided reference files, treating them as the source of truth for this domain:
* **For Creation:** Always consult **`references/patterns.md`**. This file dictates *how* things should be built. Ignore generic approaches if a specific pattern exists here.
* **For Diagnosis:** Always consult **`references/sharp_edges.md`**. This file lists the critical failures and "why" they happen. Use it to explain risks to the user.
* **For Review:** Always consult **`references/validations.md`**. This contains the strict rules and constraints. Use it to validate user inputs objectively.
