ai-distributed-training SKILL.md skillA
ai-distributed-training from vasilyu1983/ai-agents-public is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add vasilyu1983/ai-agents-public/ai-distributed-training@v1.3Pins v1.3 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- vasilyu1983/ai-agents-public
- Path
skills/universal/ai-distributed-training/SKILL.md- Versions recorded
- 1
- Latest version
- v1.3, committed Oct 5, 2026
- Size
- 45,795 bytes
- Repository stars
- 101
- License
- MIT
Guides multi-GPU pre-training: DDP, FSDP2, ZeRO, tensor/pipeline/expert parallelism, fp8/Muon. Use when scaling a run, training MoE, or reproducing GPT-2 on rented GPUs.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Distributed Training - Systems Performance Skill **Operational focus**: picking and implementing the right parallelism strategy, not the theory. Covers data parallelism through FSDP/ZeRO/tensor+pipeline parallelism, memory-efficient attention, mixed precision at scale, activation checkpointing, rented-GPU cost discipline, and reproducing GPT-2 124M as the canonical sanity check. Profile before you scale. Debug on the smallest GPU that fits. Stop the instance when done. ## When to Use This Skill Activate when the user asks about: - Choosing between DDP, FSDP2, DeepSpeed ZeRO stages 1/2/3, or Megatron-LM - Training Mixture-of-Experts (MoE) models: expert parallelism, all-to-all, load balancing - OOM errors on multi-GPU training runs - Memory-efficient attention (FlashAttention-2/3, xformers) - Mixed precision (bf16, fp8, nvfp4) trade-offs at pre-training scale - Optimizer choice at scale (AdamW vs Muon/MuonClip) - Choosing a hardware generation (A100, H100, Blackwell NVL72-class racks, newer racks as they reach your provider) - Gradient checkpointing vs activation checkpointing cost - Pre-training frameworks: litgpt, torchtitan, nanotron, levanter …
Read the whole file at its exact version.
How to install
mdr add vasilyu1983/ai-agents-public/ai-distributed-training@sha256:cabf94355ae25775The line at the top of this page pins the label v1.3, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_qm22eplusbxosiwn)
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Versions
The registry has recorded 1 version of this file, committed on Oct 5, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (45795 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
vasilyu1983/ai-agents-public · 101 stars · license MIT · pushed 2026-10-16 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_qm22eplusbxosiwn GET https://markdownregistry.com/api/v1/resolve?ref=vasilyu1983/ai-agents-public/ai-distributed-training GET https://markdownregistry.com/api/v1/blob/cabf94355ae25775adae55148f9aca2dbf67174ea5fef294aed14a507c91e261
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.