# rocm

ROCm is AMD's open-source GPU computing platform, providing compilers, runtimes, and libraries for AI, high-performance computing, and domain-specific workloads.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## FreeBSD Foundation Intern Sourojeet Adhikari on Bringing ROCm to FreeBSD

DevFeed: [FreeBSD Foundation Intern Sourojeet Adhikari on Bringing ROCm to FreeBSD](<https://devfeed.tech/articles/freebsd-foundation-intern-sourojeet-adhikari-on-bringing-rocm-to-freebsd-38861.md>)

Original publisher: [Read original article](<https://freebsdfoundation.org/blog/freebsd-foundation-intern-sourojeet-adhikari-on-bringing-rocm-to-freebsd/>)

Author: Florine Kamdem

Published: 2026-08-24T20:34:20Z

Content type: article

Language: en

Sources: [FreeBSD Foundation](<https://devfeed.tech/sources/freebsd-foundation.md>)

Topics: [rocm](<https://devfeed.tech/topics/rocm.md>), [GPU](<https://devfeed.tech/topics/gpu.md>), [Computing](<https://devfeed.tech/topics/computing.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [Programming](<https://devfeed.tech/topics/programming.md>)

Tags: [blog](<https://devfeed.tech/tags/blog.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [programming](<https://devfeed.tech/tags/programming.md>), [rocm](<https://devfeed.tech/tags/rocm.md>), [system](<https://devfeed.tech/tags/system.md>)

### AI overview

An interview with University of Waterloo student Sourojeet Adhikari about his FreeBSD Foundation internship and work to bring AMD's ROCm GPU computing platform to FreeBSD. It covers his path into open source, systems and GPU programming, and the challenges of the project.

### Source excerpt

For University of Waterloo student Sourojeet Adhikari, an early interest in understanding how computers work eventually grew into a summer spent helping bring AMD's ROCm GPU computing platform to FreeBSD. Sourojeet is studying Mathematical Physics and entering the third year of his degree. This summer, he joined the FreeBSD Foundation as an intern, working on [...] The post FreeBSD Foundation Intern Sourojeet Adhikari on Bringing ROCm to FreeBSD first appeared on FreeBSD Foundation.

## The future of AI-native Is open source

DevFeed: [The future of AI-native Is open source](<https://devfeed.tech/articles/the-future-of-ai-native-is-open-source-12236.md>)

Original publisher: [Read original article](<https://platformengineering.org/blog/the-future-of-ai-native-is-open-source>)

Author: Sam Barlien

Published: 2026-07-23T05:40:01Z

Content type: opinion

Language: en

Sources: [Platform Engineering Blog](<https://devfeed.tech/sources/platform-engineering-blog.md>)

Topics: [Open Source](<https://devfeed.tech/topics/open-source.md>), [AI Infrastructure](<https://devfeed.tech/topics/ai-infrastructure.md>), [Platform Engineering](<https://devfeed.tech/topics/platform-engineering.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [Dynamo](<https://devfeed.tech/topics/dynamo.md>), [NeMo](<https://devfeed.tech/topics/nemo.md>), [rocm](<https://devfeed.tech/topics/rocm.md>), [Linux](<https://devfeed.tech/topics/linux.md>), [OpenClaw](<https://devfeed.tech/topics/openclaw.md>)

Tags: [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [linux](<https://devfeed.tech/tags/linux.md>), [nemo](<https://devfeed.tech/tags/nemo.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [openclaw](<https://devfeed.tech/tags/openclaw.md>), [platform-engineering](<https://devfeed.tech/tags/platform-engineering.md>), [rocm](<https://devfeed.tech/tags/rocm.md>)

### AI overview

The article argues that AI infrastructure is undergoing a structural shift as NVIDIA and AMD open-source software for running and optimizing their hardware. It presents this as a platform engineering decision: ecosystem adoption and open software stacks may matter more than proprietary software control.

### Source excerpt

Chip vendors like NVIDIA and AMD are open sourcing the software that runs their AI hardware. Here is why that shift is a platform engineering decision.

## Easily Build and Share ROCm Kernels with Hugging Face

DevFeed: [Easily Build and Share ROCm Kernels with Hugging Face](<https://devfeed.tech/articles/easily-build-and-share-rocm-kernels-with-hugging-face-7133.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/build-rocm-kernels>)

Author: Abdennacer Badaoui; Daniel Huang; colorswind; Zesen Liu

Published: 2025-11-17T00:00:00Z

Content type: tutorial

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [kernels](<https://devfeed.tech/topics/kernels.md>), [rocm](<https://devfeed.tech/topics/rocm.md>), [hugging face](<https://devfeed.tech/topics/hugging-face.md>), [PyTorch](<https://devfeed.tech/topics/pytorch.md>), [Deep learning](<https://devfeed.tech/topics/deep-learning.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [benchmarking](<https://devfeed.tech/topics/benchmarking.md>), [CUDA](<https://devfeed.tech/topics/cuda.md>)

Tags: [amd](<https://devfeed.tech/tags/amd.md>), [architectures](<https://devfeed.tech/tags/architectures.md>), [best-practices](<https://devfeed.tech/tags/best-practices.md>), [build](<https://devfeed.tech/tags/build.md>), [building](<https://devfeed.tech/tags/building.md>), [compiler](<https://devfeed.tech/tags/compiler.md>), [compute](<https://devfeed.tech/tags/compute.md>), [core](<https://devfeed.tech/tags/core.md>), [cuda](<https://devfeed.tech/tags/cuda.md>), [deep-learning](<https://devfeed.tech/tags/deep-learning.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [developer](<https://devfeed.tech/tags/developer.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [innovation](<https://devfeed.tech/tags/innovation.md>), [kernels](<https://devfeed.tech/tags/kernels.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [pytorch](<https://devfeed.tech/tags/pytorch.md>), [rocm](<https://devfeed.tech/tags/rocm.md>)

### AI overview

This tutorial explains how to build, test, package, deploy, and share ROCm-compatible GPU kernels with Hugging Face's kernels library and kernel-builder. It focuses on integrating kernels with PyTorch and optimizing them for AMD GPUs, using a high-performance FP8 GEMM kernel for the AMD Instinct MI300X as an example.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.

## From cloud to developers: Hugging Face and Microsoft Deepen Collaboration

DevFeed: [From cloud to developers: Hugging Face and Microsoft Deepen Collaboration](<https://devfeed.tech/articles/from-cloud-to-developers-hugging-face-and-microsoft-deepen-collaboration-7348.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/microsoft-collaboration>)

Author: Jeff Boudier; Philipp Schmid

Published: 2024-05-21T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [hugging face](<https://devfeed.tech/topics/hugging-face.md>), [Microsoft](<https://devfeed.tech/topics/microsoft.md>), [Azure](<https://devfeed.tech/topics/azure.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [Deployment](<https://devfeed.tech/topics/deployment.md>), [optimum](<https://devfeed.tech/topics/optimum.md>), [rocm](<https://devfeed.tech/topics/rocm.md>), [llama](<https://devfeed.tech/topics/llama.md>), [Testing](<https://devfeed.tech/topics/testing.md>)

Tags: [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [azure](<https://devfeed.tech/tags/azure.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [cohere](<https://devfeed.tech/tags/cohere.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [large-language-models](<https://devfeed.tech/tags/large-language-models.md>), [meta](<https://devfeed.tech/tags/meta.md>), [microsoft](<https://devfeed.tech/tags/microsoft.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [optimum](<https://devfeed.tech/tags/optimum.md>), [partnership](<https://devfeed.tech/tags/partnership.md>), [qwen](<https://devfeed.tech/tags/qwen.md>), [rocm](<https://devfeed.tech/tags/rocm.md>), [testing](<https://devfeed.tech/tags/testing.md>)

### AI overview

Hugging Face and Microsoft expand their collaboration to make open AI models easier to deploy and run on Azure. The article highlights one-click deployment through Azure AI Studio, support for models such as Llama 3, Command R Plus, Qwen 1.5 110B, and Phi-3, and optimization for AMD Instinct MI300X virtual machines using Optimum-AMD and ROCm.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.