AMD Instinct™ Accelerators
Large on-chip memory, state-of-the-art HBM memory and scale up/out capabilities ideal for generative AI in modern data center deployment.
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.
Get Access to AMD GPUs
Access GPUs, including cloud instances, OEM/ODM server systems, and Radeon PCIe® graphics cards.
- Instinct Cloud Partners
- Instinct OEM/ODM Partners
- AMD Developer Cloud
- Radeon Graphics Options
Featured Cloud Partners
AMD Instinct accelerators are available in the cloud to meet the scalability, flexibility, and performance demands of complex AI compute workloads.
Featured OEM/ODM Partners
Build your own AI GPU clusters with AMD Instinct accelerator-powered solutions. Find solutions from our OEM/ODM/SI.
Build AI Applications on the AMD Developer Cloud
Apply for access to AMD Instinct™ accelerators and streamline your development.
AI Acceleration with AMD Radeon Cards
Use one of the following Radeon cards for AI development.
ROCm Software and Container Setup
- ROCm Installation:
- Framework Installation:
- Pre-optimized, fully packaged Dockers:
Inference
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
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.
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 AI deployment, monitoring, and maintenance of machine learning models in production.
ROCm Documentation
Comprehensive information about ROCm components, tools, and 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.
Community and Support
Join various open-source forums, including our own ROCm discussion forum, to share knowledge, report issues, and get answers.
Featured Forums
- Pytorch related questions and issues
- vLLM related questions and issues
- ROCm related questions
- Ready to file bugs or PRs?
Featured Community Projects
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.