# rocm

Published articles for rocm.

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## 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.

## Using local LLMs for agentic coding

DevFeed: [Using local LLMs for agentic coding](<https://devfeed.tech/articles/using-local-llms-for-agentic-coding-29082.md>)

Original publisher: [Read original article](<https://blog.alexewerlof.com/p/local-llms-for-agentic-coding>)

Author: Alex Ewerlöf

Published: 2026-06-04T09:01:34Z

Content type: tutorial

Language: en

Sources: [Alex Ewerlof Notes](<https://devfeed.tech/sources/alex-ewerlof-notes.md>)

Topics: [coding](<https://devfeed.tech/topics/coding.md>), [agentic-coding](<https://devfeed.tech/topics/agentic-coding.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [GitHub Copilot CLI](<https://devfeed.tech/topics/github-copilot-cli.md>), [Linux](<https://devfeed.tech/topics/linux.md>), [llama.cpp](<https://devfeed.tech/topics/llama-cpp.md>), [Ollama](<https://devfeed.tech/topics/ollama.md>), [NVIDIA RTX](<https://devfeed.tech/topics/nvidia-rtx.md>)

Tags: [agentic-coding](<https://devfeed.tech/tags/agentic-coding.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [claude](<https://devfeed.tech/tags/claude.md>), [coding](<https://devfeed.tech/tags/coding.md>), [github](<https://devfeed.tech/tags/github.md>), [linux](<https://devfeed.tech/tags/linux.md>), [llama](<https://devfeed.tech/tags/llama.md>), [llama-cpp](<https://devfeed.tech/tags/llama-cpp.md>), [llms](<https://devfeed.tech/tags/llms.md>), [local](<https://devfeed.tech/tags/local.md>), [local-llms](<https://devfeed.tech/tags/local-llms.md>), [microsoft](<https://devfeed.tech/tags/microsoft.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [nvidia-rtx](<https://devfeed.tech/tags/nvidia-rtx.md>), [ollama](<https://devfeed.tech/tags/ollama.md>), [quality](<https://devfeed.tech/tags/quality.md>), [rocm](<https://devfeed.tech/tags/rocm.md>), [state](<https://devfeed.tech/tags/state.md>)

### AI overview

A practical guide to using local language models for agentic coding. It covers running local models, configuring coding agents such as Copilot and Pi, and evaluating local models against cloud models in terms of cost, privacy, tooling, and performance.

### Source excerpt

AI honeymoon pricing is over, but your work is not

## PaddleOCR 3.5: Running OCR and Document Parsing Tasks with a Transformers Backend

DevFeed: [PaddleOCR 3.5: Running OCR and Document Parsing Tasks with a Transformers Backend](<https://devfeed.tech/articles/paddleocr-3-5-running-ocr-and-document-parsing-tasks-with-a-transformers-backend-7031.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/PaddlePaddle/paddleocr-transformers>)

Author: AlexZhang; Cuicheng; Jun Zhang; Manhui Lin; Yue Zhang

Published: 2026-05-18T15:12:46Z

Content type: release

Language: en

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

Topics: [document ai](<https://devfeed.tech/topics/document-ai.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [hugging face](<https://devfeed.tech/topics/hugging-face.md>), [PyTorch](<https://devfeed.tech/topics/pytorch.md>), [Retrieval Augmented Generation (RAG)](<https://devfeed.tech/topics/retrieval-augmented-generation-rag.md>)

Tags: [document-ai](<https://devfeed.tech/tags/document-ai.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [inference](<https://devfeed.tech/tags/inference.md>), [ocr](<https://devfeed.tech/tags/ocr.md>), [python](<https://devfeed.tech/tags/python.md>), [pytorch](<https://devfeed.tech/tags/pytorch.md>), [rag](<https://devfeed.tech/tags/rag.md>), [rocm](<https://devfeed.tech/tags/rocm.md>), [transformers](<https://devfeed.tech/tags/transformers.md>)

### AI overview

PaddleOCR 3.5 adds Transformers as a supported inference backend for OCR and document parsing models, while PaddleOCR continues to manage the underlying pipelines. The release simplifies integration with Hugging Face-centered environments and downstream document workflows such as RAG, search, analytics, and automation.

### Source excerpt

PaddleOCR continues to provide OCR model series such as PP-OCRv5 and document parsing model series such as PaddleOCR-VL 1.5, while Transformers becomes one of the supported backends for running them. Try the live demo on Hugging Face Spaces: PaddleOCR 3.5 introduces a more flexible inference-engine interface. Developers can select the backend through the parameter and pass backend-specific options through .

## Upcoming Livestream: GPUs for AI (Shaped by You)

DevFeed: [Upcoming Livestream: GPUs for AI (Shaped by You)](<https://devfeed.tech/articles/upcoming-livestream-gpus-for-ai-shaped-by-you-35026.md>)

Original publisher: [Read original article](<https://read.theaimerge.com/p/upcoming-livestream-gpus-for-ai-shaped>)

Author: Alex Razvant

Published: 2026-01-27T09:30:49Z

Content type: article

Language: en

Sources: [Neural Bits](<https://devfeed.tech/sources/neural-bits.md>)

Topics: [GPU](<https://devfeed.tech/topics/gpu.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Hardware](<https://devfeed.tech/topics/hardware.md>), [CUDA](<https://devfeed.tech/topics/cuda.md>), [pcie](<https://devfeed.tech/topics/pcie.md>), [Nvidia](<https://devfeed.tech/topics/nvidia.md>), [rocm](<https://devfeed.tech/topics/rocm.md>), [MLX](<https://devfeed.tech/topics/mlx.md>), [TensorRT](<https://devfeed.tech/topics/tensorrt.md>), [Google](<https://devfeed.tech/topics/google.md>), [groq](<https://devfeed.tech/topics/groq.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [cuda](<https://devfeed.tech/tags/cuda.md>), [google](<https://devfeed.tech/tags/google.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [groq](<https://devfeed.tech/tags/groq.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [mlx](<https://devfeed.tech/tags/mlx.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [pcie](<https://devfeed.tech/tags/pcie.md>), [rocm](<https://devfeed.tech/tags/rocm.md>), [tensorrt](<https://devfeed.tech/tags/tensorrt.md>)

### AI overview

An upcoming livestream will discuss how GPUs and other accelerators support AI workloads. The author invites audience feedback to shape coverage of GPU hardware, PCIe, CUDA, ASICs, TPUs, LPUs, model optimization, and related technologies.

### Source excerpt

You can choose the topics for a Live Session on GPUs in AI

## 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.

## Join the AMD Open Robotics Hackathon

DevFeed: [Join the AMD Open Robotics Hackathon](<https://devfeed.tech/articles/join-the-amd-open-robotics-hackathon-7095.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/amd/openroboticshackathon>)

Author: Eric Ma; Guruprasad MP

Published: 2025-11-13T21:37:26Z

Content type: news

Language: en

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

Topics: [AI, ML & Data Engineering](<https://devfeed.tech/topics/ai-ml-data-engineering.md>), [Training AI Models](<https://devfeed.tech/topics/training-ai-models.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [amd](<https://devfeed.tech/tags/amd.md>), [developer](<https://devfeed.tech/tags/developer.md>), [edge](<https://devfeed.tech/tags/edge.md>), [embedded](<https://devfeed.tech/tags/embedded.md>), [event](<https://devfeed.tech/tags/event.md>), [hackathon](<https://devfeed.tech/tags/hackathon.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [lerobot](<https://devfeed.tech/tags/lerobot.md>), [linux](<https://devfeed.tech/tags/linux.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [python](<https://devfeed.tech/tags/python.md>), [pytorch](<https://devfeed.tech/tags/pytorch.md>), [robotics](<https://devfeed.tech/tags/robotics.md>), [rocm](<https://devfeed.tech/tags/rocm.md>), [training](<https://devfeed.tech/tags/training.md>)

### AI overview

AMD, Hugging Face, and Data Monsters are hosting an in-person robotics hackathon in Tokyo and Paris. Teams complete a LeRobot environment session and build a freestyle robotics project using AMD AI hardware and cloud GPUs.

### Source excerpt

Looking to show off your robotics aptitude? The AMD Open Robotics Hackathon hosted by AMD, Hugging Face, and Data Monsters is the place to do it. Whether you're a student, hobbyist, startup founder, or seasoned engineer, this event brings together makers, coders, and roboticists for a fast-paced, hands-on competition that turns bold ideas into functioning demos. The first of two in-person hackathons will take place from December 5-7, 2025 in Tokyo Japan.

## Hugging Face on AMD Instinct MI300 GPU

DevFeed: [Hugging Face on AMD Instinct MI300 GPU](<https://devfeed.tech/articles/hugging-face-on-amd-instinct-mi300-gpu-7245.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/huggingface-amd-mi300>)

Author: Félix Marty; Mohit Sharma; seungrok jung; Morgan Funtowicz

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>), [GPU](<https://devfeed.tech/topics/gpu.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI Models](<https://devfeed.tech/topics/ai-models.md>), [CI/CD](<https://devfeed.tech/topics/cicd.md>), [tgi](<https://devfeed.tech/topics/tgi.md>), [Azure](<https://devfeed.tech/topics/azure.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [Kubernetes](<https://devfeed.tech/topics/kubernetes.md>), [text-generation](<https://devfeed.tech/topics/text-generation.md>), [migration](<https://devfeed.tech/topics/migration.md>)

Tags: [ai-models](<https://devfeed.tech/tags/ai-models.md>), [amd](<https://devfeed.tech/tags/amd.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [azure](<https://devfeed.tech/tags/azure.md>), [ci-cd](<https://devfeed.tech/tags/ci-cd.md>), [gpu](<https://devfeed.tech/tags/gpu.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [inference](<https://devfeed.tech/tags/inference.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [instinct](<https://devfeed.tech/tags/instinct.md>), [kubernetes](<https://devfeed.tech/tags/kubernetes.md>), [llama](<https://devfeed.tech/tags/llama.md>), [llm](<https://devfeed.tech/tags/llm.md>), [migration](<https://devfeed.tech/tags/migration.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [optimum](<https://devfeed.tech/tags/optimum.md>), [performance](<https://devfeed.tech/tags/performance.md>), [rocm](<https://devfeed.tech/tags/rocm.md>), [text-generation](<https://devfeed.tech/tags/text-generation.md>), [transformers](<https://devfeed.tech/tags/transformers.md>)

### AI overview

Hugging Face and AMD describe first-class integration for AMD Instinct MI300 GPU servers across the Hugging Face Platform. The article covers deployment from local development to Azure ND MI300x V5 VMs, compatibility with existing libraries and products, and CI/CD testing on managed Kubernetes infrastructure.

### 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.