design

ai-performance-engineering: Optimize AI

Get GPU optimization and full-stack tuning resources for founders
1,910 stars264 forksPythonGuide quality 8/10Updated 8/31/2026100% free · open source
What it does

The ai-performance-engineering tool provides resources and labs for optimizing AI system performance, including GPU optimization, distributed training, and full-stack tuning, specifically for founders

When to use it
  • When you need to optimize the performance of your AI models for production
  • When you're experiencing bottlenecks in your AI pipeline and need to scale
  • When you want to improve the efficiency of your AI system's GPU usage
Ready-to-paste prompt
Run `python lab-02-distributed-training/lab.py --num-gpus 4` to start the distributed training lab with 4 GPUs
Heads up: Make sure you have the necessary GPU drivers and CUDA version installed, as specified in the README, to run the GPU optimization labs
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/ai-performance-engineering && curl -fsSL https://workflowstacks.com/api/skills/ai-performance-engineering/claude-skill -o ~/.claude/skills/ai-performance-engineering/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

What's inside — free to inspect

No purchase needed

Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.

8
top-level files
8
folders
2772.6M
source size
Apache-2.0
license
Key files
README.md
File tree
.agents/
.claude/
.github/
code/
docs/
img/
meetups/
resources/
.env.sample
.gitignore
.gitmodules
AUDIT_REMEDIATION_PLAN.md
CONTRIBUTING.md
HANDOFF.md
LICENSE
README.md
Quick Actions
Details
Creator
cfregly
Language
Python
Category
design
Published
4/21/2025

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