ROCm™ AI Developer Hub
Access tutorials, blogs, open-source projects, and other resources for AI development with the ROCm™ software platform. This site provides an end-to-end journey for all AI developers who want to develop AI applications and optimize them on AMD GPUs.
AI development and deployment: Acquire resources, setup development environment, building and testing AI models, validating performance, and deploying the model into production environments with regular maintenance and support.
AMD GPUs for AI Development
AMD Instinct™ GPUs
Large on-chip memory, state-of-the-art HBM memory, and scale up/out capabilities ideal for generative AI in modern data center deployment.
AMD Radeon™ Graphics Cards
Enable users to build GPU workstations suitable for local fine-tuning and inference of relatively smaller models.
Gain Access
Access GPUs, including cloud instances, OEM/ODM server systems, and Radeon PCIe® graphics cards.
- Cloud Access
- On Prem Access
AMD Cloud Access
AMD offers various cloud access programs to fit your needs. Experience the latest in GPU-accelerated cloud computing. Four cloud platforms are available to support your AI, HPC, and software development needs.
Featured Instinct OEM/ODM Partners
Build your own AI GPU clusters with AMD Instinct GPU-powered solutions. Find solutions from our OEM/ODM/SI.
AMD Radeon Cards for AI Development
Learn more about Radeon cards built for AI development.
ROCm Software and Container Setup
- ROCm Installation:
- Framework Installation:
- Pre-optimized, fully packaged Dockers:
How to Tutorials for AI Workloads
Explore more topics to find relevant learning resources to help you stay updated with the latest technological advancements from AMD.
- AI Inference
- Fine-tuning
- Training
- GPU Development and Optimization Tutorials
AI Inference
Deploy AI models faster with higher accuracy and achieve faster insights.
For in-depth documentation for AI inference, visit the ROCm software documentation page.
Fine-tuning
Adapt a pre-trained model for specific tasks or use cases.
For in-depth documentation for fine-tuning, visit the ROCm software documentation page.
Training
Pre-train a model on a large dataset to learn general features and patterns.
For in-depth documentation for fine-tuning, visit the ROCm software documentation page.
GPU Development and Optimization Tutorials
For in-depth documentation for optimization, visit the ROCm software documentation page.
Watch quick video tutorials to get your questions answered.
Performance Results
Find the latest performance on AMD GPUs. Performance numbers are frequently updated as a reference point to help users test observed performance.
Deployment and Orchestration
Streamline and automate the deployment, monitoring, and maintenance of ML models in the data center.
ROCm Documentation
Comprehensive information about ROCm components, tools, compilers, runtimes, and debugger.
Open-source Projects Using ROCm Software
Collaboration with ecosystem partners through CI/CD clusters and joint roadmap development.
AMD Infinity Hub
Collection of advanced GPU software containers and deployment guides for AI and ML applications.
Blogs
Stay updated on the latest tutorials, tips, and use cases for AI developers.
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Running ComfyUI in Windows with ROCm on WSL — ROCm Blogs
Run ComfyUI on Windows with ROCm and WSL to harness Radeon GPU power for local AI tasks like Stable Diffusion—no dual-boot needed
August 06, 2025
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Day 0 Developer Guide: Running the Latest Open Models from OpenAI on AMD AI Hardware — ROCm Blogs
Day 0 support across our AI hardware ecosystem from our flagship AMD InstinctTM MI355X and MI300X GPUs, AMD Radeon™ AI PRO R700 GPUs and AMD Ryzen™ AI…
August 04, 2025
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AMD Hummingbird Image to Video: A Lightweight Feedback-Driven Model for Efficient Image-to-Video Generation — ROCm Blogs
We present AMD Hummingbird, offering a two-stage distillation framework for efficient, high-quality text-to-video generation using compact models.
August 02, 2025
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GEAK: Introducing Triton Kernel AI Agent & Evaluation Benchmarks — ROCm Blogs
AMD introduces GEAK, an AI agent for generating optimized Triton GPU kernels, achieving up to 63% accuracy and up to 2.59× speedups on MI300X GPUs.
July 31, 2025
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Graph Neural Networks at Scale: DGL with ROCm on AMD Hardware — ROCm Blogs
Accelerate Graph Deep Learning on AMD GPUs with DGL and ROCm—scale efficiently with open tools and optimized performance.
July 30, 2025
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Accelerating Parallel Programming in Python with Taichi Lang on AMD GPUs — ROCm Blogs
This blog provides a how-to guide on installing and programming with Taichi Lang on AMD Instinct GPUs.
July 30, 2025
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Avoiding LDS Bank Conflicts on AMD GPUs Using CK-Tile Framework — ROCm Blogs
This blog shows how CK-Tile’s XOR-based swizzle optimizes shared memory access in GEMM kernels on AMD GPUs by eliminating LDS bank conflicts
July 24, 2025
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Benchmarking Reasoning Models: From Tokens to Answers — ROCm Blogs
Learn how to benchmark reasoning tasks. Use Qwen3 and vLLM to test true reasoning performance, not just how fast words are generated.
July 23, 2025
Community and Support
Join various open-source forums, including our own ROCm discussion forum, to share knowledge, report issues, and get answers.
Featured Forums
The ROCm™ Star Application Developer Certificate
Test your knowledge on developing, optimizing, and deploying AI and HPC applications on AMD GPUs using ROCm software and boost your career by earning an AMD ROCm Star Certificate.
Sign Up for ROCm News
Sign up for the ROCm newsletter to keep up-to-date on the latest releases and tips.