[!IMPORTANT] Scheduled Repository Migration
This repository will be archived during the migration window: August 7th, 2026, 11:00AM – 8:00 PM MST
During this period, pushes, pull requests, and other repository operations may be unavailable. Please avoid making changes during the maintenance window. Migration details and updates: https://amd.atlassian.net/wiki/spaces/DCGPUPM/pages/788890399/ROCm+Tech+Blogs+Mission+Stakeholders+Processes+Style+and+Metadata#Migration-in-Progress
Welcome to the ROCm blog repository.
ROCm blogs range from general topic overviews to more technical walkthroughs where we share best practices and lessons learned during our testing of software applications, libraries, and frameworks on AMD GPUs.
We currently showcase the following topics:
Several of the technical blogs contain accompanying code samples, which we encourage you to experiment with. Our intention is to provide content that targets domain experts and computational/data scientists alike. While our optimization strategies may be specific to a particular application/model, we believe that the content can serve as a guideline and an effective starting point to help you get the best experience out of your AMD GPUs.
We welcome external contributions but keep in mind that we do exercise our editorial discretion on all content.
(top 30 of 207)
Jupyter Notebook
55.1%
HTML
43.4%
Python
1.1%
[!IMPORTANT] Scheduled Repository Migration
This repository will be archived during the migration window: August 7th, 2026, 11:00AM – 8:00 PM MST
During this period, pushes, pull requests, and other repository operations may be unavailable. Please avoid making changes during the maintenance window. Migration details and updates: https://amd.atlassian.net/wiki/spaces/DCGPUPM/pages/788890399/ROCm+Tech+Blogs+Mission+Stakeholders+Processes+Style+and+Metadata#Migration-in-Progress
Welcome to the ROCm blog repository.
ROCm blogs range from general topic overviews to more technical walkthroughs where we share best practices and lessons learned during our testing of software applications, libraries, and frameworks on AMD GPUs.
We currently showcase the following topics:
Several of the technical blogs contain accompanying code samples, which we encourage you to experiment with. Our intention is to provide content that targets domain experts and computational/data scientists alike. While our optimization strategies may be specific to a particular application/model, we believe that the content can serve as a guideline and an effective starting point to help you get the best experience out of your AMD GPUs.
We welcome external contributions but keep in mind that we do exercise our editorial discretion on all content.
(top 30 of 207)
Jupyter Notebook
55.1%
HTML
43.4%
Python
1.1%