ROCmTM AI Developer Hub
Access tutorials, blogs, open-source projects, and other resources for AI development with the ROCmTM 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.
ROCm Software Stack
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AI Models and AlgorithmsSupport for the SOTA models. Explore collection of containers and deployment guides on the AMD infinity hub.
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PyTorch | TensorFlow | JAXExpanding open-source footprint and support across major frameworks.
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ROCm SoftwareA open-source software stack that provides the tools for programming AMD GPUs from low-level kernels to end-user applications.
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AMD InstinctTM GPUs Go to linkIdeal for generative AI in modern data center deployment.
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AMD Radeon Graphics Cards Go to linkSuitable for local fine-tuning and inference of relatively smaller models.
Get Access to AMD GPUs
Here is how you build AI applications with AMD GPUs
- AMD Cloud Access
- On Prem Access
The latest in GPU-accelerated cloud computing programs for developers and open-source contributors. View Cloud Access Options
A diverse portfolio of solution offerings from leading OEMs and platform designers to build AI GPU clusters View Instinct Solution Catalog
Great capabilities for local AI inference, development, and other memory-intensive workloads View Radeon GPU Catalog
ROCm Software and Container Setup
- ROCm Installation:
- Framework Installation:
- Pre-optimized, fully packaged Dockers:
Learning Resources
Explore more topics to find relevant learning resources to help you stay updated with the latest technological advancements from AMD.
AMD AI Academy
Self-learning courses designed specifically for AI developers
Tutorials
Tutorials in Jupyter Notebook formatting for inference, fine-tuning, training, and kernel optimization.
Videos
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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Optimizing LLM Workloads: AMD Instinct MI355X GPUs Drive Competitive Performance — ROCm Blogs
Explore ROCm 7.0’s AI training boost! See how MI355X accelerates JAX and PyTorch frameworks to unlock faster and efficient LLM scaling.
December 01, 2025
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Advancing the Cloud Together: How AMD and AWS Are Powering the Next Era of Enterprise Efficiency and Innovation
AMD and AWS are committed to helping enterprises modernize their IT foundations, improve workload economics, and scale sustainably in the age of AI.
December 01, 2025
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VLM Fine-Tuning for Robotics on AMD Enterprise AI Suite — ROCm Blogs
Fine-tune OpenCLIP with Bridge Data V2 on ROCm to enable robotics related fine-tuning
November 27, 2025
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Fine-Tune LLMs for Proteins with AMD Enterprise AI Suite — ROCm Blogs
Fine-tune Llama 3.1 8B with ROCm for advanced protein sequence insights in bioinformatics
November 26, 2025
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Exploring Gameplay Video Generation with Hunyuan-GameCraft — ROCm Blogs
Learn to generate dynamic, action-controllable gameplay videos from single images using Hunyuan-GameCraft on AMD Instinct MI300X GPUs with ROCm.
November 26, 2025
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Using Reinforcement Learning to Fix Text in AI-Generated Videos — ROCm Blogs
Demonstrates how Flow-GRPO can be used to fine-tune Wan models to better generate text in videos by covering background, set up and some examples of t...
November 24, 2025
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The vLLM MoE Playbook: A Practical Guide to TP, DP, PP and Expert Parallelism — ROCm Blogs
Learn how to combine TP, DP, PP, and EP for MoE models. Discover proven strategies to maximize performance on your vLLM deployments.
November 23, 2025
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Accelerating AI-Driven Crystalline Materials Design with MatterGen on AMD Instinct MI300X — ROCm Blogs
Learn how to run a generative model for inorganic material design with MatterGen on MI300X.
November 20, 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
Join the AMD Developer Community Discord Server
Connect with fellow developers and AMD staff around hardware, software tools, technologies, open-source development and more.
Other Forums
The ROCmTM 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.