{"id":50759978,"url":"https://github.com/amd/playbooks","last_synced_at":"2026-06-11T09:01:10.425Z","repository":{"id":352934866,"uuid":"1114029270","full_name":"amd/playbooks","owner":"amd","description":"Official repository of AMD Playbooks","archived":false,"fork":false,"pushed_at":"2026-06-04T04:29:59.000Z","size":71891,"stargazers_count":20,"open_issues_count":77,"forks_count":2,"subscribers_count":1,"default_branch":"main","last_synced_at":"2026-06-04T05:08:52.697Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"http://amd.com/playbooks","language":"TypeScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/amd.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-12-10T19:52:52.000Z","updated_at":"2026-06-04T02:31:22.000Z","dependencies_parsed_at":null,"dependency_job_id":"b987ac7b-0789-47db-9940-86ac08dafa71","html_url":"https://github.com/amd/playbooks","commit_stats":null,"previous_names":["amd/playbooks"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/amd/playbooks","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amd%2Fplaybooks","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amd%2Fplaybooks/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amd%2Fplaybooks/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amd%2Fplaybooks/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/amd","download_url":"https://codeload.github.com/amd/playbooks/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amd%2Fplaybooks/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34190585,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-11T02:00:06.485Z","response_time":57,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2026-06-11T09:01:09.694Z","updated_at":"2026-06-11T09:01:10.387Z","avatar_url":"https://github.com/amd.png","language":"TypeScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003c!--\nCopyright Advanced Micro Devices, Inc.\n\nSPDX-License-Identifier: MIT\n--\u003e\n\n# AMD Playbooks\n\n\u003cdiv align=\"center\"\u003e\n\n![AMD](https://img.shields.io/badge/AMD-Playbooks-ED1C24?logo=amd\u0026logoColor=white)\n![ROCm](https://img.shields.io/badge/ROCm-Enabled-green)\n![License](https://img.shields.io/badge/License-MIT-blue)\n[![AI Dev Program](https://img.shields.io/badge/AMD_AI-Developer_Program-7B2D8E?logo=amd\u0026logoColor=white)](https://www.amd.com/en/developer/ai-dev-program.html)\n\u003cimg src=\"assets/banner.png\" alt=\"AMD Playbooks\"/\u003e\n\nGuided developer journeys for AI/ML workloads on AMD devices.\n\n[**Browse Playbooks at amd.com/playbooks →**](https://amd.com/playbooks)\n\n\u003c/div\u003e\n\n## About\n\nThis is AMD's official repository of playbooks for AMD developer platforms. Each playbook is a self-contained, hands-on learning experience that covers prerequisites, step-by-step instructions for Windows and Linux, troubleshooting guidance, and working example code, built to help you grow your AI development skills one project at a time.\n\n## Available Playbooks\n\n| Playbook | Description |\n|----------|-------------|\n| **Running LLMs with PyTorch and AMD ROCm™ software** | Run powerful language models locally with PyTorch and ROCm |\n| **Running and Serving LLMs with LM Studio** | Set up LM Studio to run and serve large language models |\n| **Automating Workflows with n8n and Local LLMs** | Build an AI-powered news summarizer using n8n and Lemonade |\n| **Local LLM Coding with VS Code and Qwen3-Coder** | Use VS Code with locally-running Qwen3-Coder for private code assistance |\n| **Generating Images with ComfyUI and Z Image Turbo** | Create AI-generated images using ComfyUI with Z Image Turbo |\n| **Chat with LLMs in Open WebUI** | Set up Open WebUI to chat with local LLMs |\n| **Fine-tune LLMs with PyTorch and AMD ROCm™ software** | Fine-tune large language models using PyTorch and ROCm |\n| **Using Lemonade Across CPU, GPU, and NPU** | Learn how to use the Lemonade framework across CPU, GPU, and NPU |\n| **Optimized Fine-tuning with Unsloth** | Memory-efficient LoRA fine-tuning with Unsloth |\n| **Speech-to-Speech Translation** | Build a real-time speech-to-speech translation system |\n\n## Coming Soon\n\n| Playbook | Description |\n|----------|-------------|\n| **Local Computer Vision with Ryzen™ AI NPU** | Build local perception capabilities using CVML SDK on Ryzen AI and ROCm |\n| **Clustering Two Devices with llama.cpp RPC** | Distributed inference using RPC server across two AMD devices with llama.cpp |\n| **Getting Started with Ollama** | Install Ollama and run LLMs locally from the terminal, desktop app, or REST API |\n| **Getting Started Creating Agents with GAIA** | Build and deploy AI agents using the GAIA framework |\n| **Fine-tuning LLMs with LLaMA-Factory** | LoRA fine-tuning of large language models using LLaMA-Factory |\n| **Custom GPU Kernels with PyTorch ROCm** | Write and optimize custom GPU kernels using PyTorch and ROCm |\n| **Quick Start on vLLM** | Run inference and serving using vLLM |\n| **Clustering with RCCL** | Multi-node cluster using two AMD devices with RCCL |\n\n## AMD AI Developer Program\n\n\u003e **[Join the AMD AI Developer Program →](https://www.amd.com/en/developer/ai-dev-program.html)**\n\u003e\n\u003e Get access to tools, resources, and community support to accelerate your AI development on AMD hardware.\n\n## Additional Resources\n\n- **Playbooks Portal**: [amd.com/playbooks](https://amd.com/playbooks)\n- **AMD Developer Hub**: [developer.amd.com](https://developer.amd.com)\n- **ROCm Documentation**: [rocm.docs.amd.com](https://rocm.docs.amd.com)\n- **AMD AI Developer Program**: [amd.com/ai-dev-program](https://www.amd.com/en/developer/ai-dev-program.html)\n- **Community Forum**: [community.amd.com](https://community.amd.com)\n\n## License\n\nThis project is licensed under the MIT License. See [LICENSE](LICENSE) for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famd%2Fplaybooks","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Famd%2Fplaybooks","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Famd%2Fplaybooks/lists"}