Arm Launches GitHub Platform AI Tools to Simplify AI Application Development and Deployment for Developers

2024-11-01 11:14:27 1189

News Highlights:

Arm extensions designed specifically for GitHub Copilot accelerate development on Arm-based platforms from the cloud to the edge side;

Arm Native Runner provides a seamless development experience for deploying cloud-native, Windows on Arm, and cloud-to-edge AI software;

The combination of GitHub Actions, native GitHub runners and Arm platform-based AI frameworks help simplify the AI application development and deployment process for 20 million developers worldwide.

By combining the Arm Compute Platform with the power of GitHub, the world's largest developer community, and its GitHub Copilot, Arm is leading a revolution in software development. With Copilot's AI code suggestions, developers can write, test and optimize code more efficiently on the Arm platform. By integrating Arm tools into GitHub Actions, developers can reduce costs and increase productivity while simplifying development tasks across applications, whether they are cloud-native web apps or AI solutions. This partnership will enable the 20 million developers of the Arm platform worldwide to leverage resources from the world's most widely used computing platform and largest developer community to make development faster, easier and more efficient.

 

GitHub Copilot Extensions: Simplifying Development on the Arm Architecture

Coming soon to the GitHub Marketplace, GitHub Copilot's Arm Extension will help developers build, test, and deploy software more efficiently to increase productivity and impact. The extension integrates select datasets and provides tools specifically developed for AI code, including code migration, containerization, CI/CD workflows, and performance optimization to ensure a seamless cloud-to-edge deployment experience. The extension is expected to go live by the end of this year.

 

Arm64 runners: building a faster, more seamless development experience

Earlier this year, GitHub announced the general availability of the Arm64 Linux and Windows Native Arm runners for GitHub Actions, simplifying the development process, reducing costs, and increasing speed for customers on GitHub's Team Edition and Enterprise Edition cloud plans. The Arm64 runners also improve the efficiency of AI workflows with popular AI frameworks such as PyTorch.

This week Arm attended the GitHub Universe Developer Conference to share how it is using GitHub Copilot and GitHub Actions to accelerate the development process from the cloud to the edge, helping developers improve performance, accelerate time-to-market, and minimize costs in their projects. In its journey to empower software developers, Arm is continually working to help developers achieve seamless, reliable, and secure end-to-end deployment, testing, and optimization in applications across different vectors, whether it's a large-scale cloud solution or a small, delicate sensor.

 

Developer Resources

GitHub and Arm provide resources for developers to get started:

Learning Paths: Tutorials on how to develop Arm software, including building multi-architecture container images using GitHub-hosted runners.

GitHub Actions Partner Runner Image Repository: Showcases a list of available partner images and how to use them.

Tags:

Share

Related News more>

Low-Power Sensor Node Design: Energy-Saving Strategies for Temperature, Humidity, PM2.5 and Human Body Infrared Sensors
The design of low-power sensor nodes has become a pivotal technology driving advancements in smart cities, environmental monitoring, and health management. Monitoring systems centred on temperature and humidity, PM2.5, and human body infrared sensors must extend node operational lifespans from days to years while meeting real-time and accuracy requirements. This paper systematically outlines core low-power design strategies and engineering practices across four dimensions: sensor selection, power management....
Infineon Launches New Generation of Highly Integrated XENSIV™ 60 GHz CMOS Radar
[Munich, Germany, November 3, 2025] Infineon Technologies AG, a global semiconductor leader in power systems and the Internet of Things, has recently introduced the XENSIV™ BGT60CUTR13AIP—a new generation of highly integrated 60 GHz CMOS radar sensors. Designed for ultra-low-power IoT solutions, this sensor will serve as a key physical AI sensor enhancing the intelligence of smart home and IoT devices. Paired with Infineon's comprehensive support for software, hardware, third-party modules, and ....
EN6337QI DC-DC-Converters: Features, Applications and Datasheet
EN6337QI Description The EN6337QI is a synchronous buck DC-DC converter power module that delivers up to 6A continuous output current. It integrates the controller, MOSFETs, inductor, and passive components into a single compact package, minimizing external design complexity. Designed for high-efficiency point-of-load (POL) power conversion, it provides a fast transient response and tight voltage regulation, ideal for powering FPGAs, ASICs, and processors. EN6337QI Features Wide Input Voltage Range: 2.4V ....
Teledyne e2v Completes Initial Qualification of 16GB Space-Grade DDR4 Memory
Grenoble, France – Teledyne e2v Semiconductors is pleased to announce the successful initial qualification of its 16GB space-grade DDR4 memory, marking a key milestone in the development of high-reliability space-grade storage solutions. Figure. 1 Both this 16GB DDR4 memory and the 8GB DDR4 validated last year are part of Teledyne e2v's expanding radiation-hardened memory portfolio. The 16GB version doubles capacity while maintaining identical dimensions and pin compatibility, enabling seamless integ....