Distributed Training and Infrastructure

Training-scale and compute workflows spanning DeepSpeed, FSDP2, Accelerate, Megatron-Core, Lightning, Ray Train, Modal, Lambda Labs, and SkyPilot.

Parent repository GitHub

Type: skill categories
Repository: Orchestra-Research/AI-Research-SKILLs
Readiness: Usable for guided research workflows, but framework guidance, autonomous claims, and demo results require project-specific validation
Keywords: 7

Location

Repository path

08-distributed-training/; 09-infrastructure/

Invocation

Select Distributed Training or Infrastructure; distributed-training is also a marketplace category.

Setup

Installation / activation

Multi-GPU, multi-node, cloud GPU, or training-orchestration tasks.

Keywords

distributed trainingDeepSpeedFSDPMegatronRay TrainModalSkyPilot

Repository context

Orchestra-Research/AI-Research-SKILLs

MIT-licensed, cross-agent library of 98 stated SKILL.md research and engineering playbooks in 23 categories; for Claude Code it installs as individual or category skills and adds an autoresearch layer that routes literature, ideation, experimentation, analysis, artifact, and paper-writing work across domain skills.

AI researchMachine learning engineeringLarge language modelsModel trainingModel evaluationMechanistic interpretabilityInference and servingMLOps and infrastructureRetrieval-augmented generationMultimodal AIAI safety and alignmentScientific communication

Open full repository research