Blogs

Current solutions to improve virtual to physical translation performance are impractical. We present an alternative, where a small change has a significant impact.

Learn how to use the improvements found in Mali-G710 to get the best performance from your mobile graphics rendering.

The Arm CoreLink DMA-350 is designed to help unlock the full potential of Endpoint AI devices. Learn more in the following blog.

Implementing sequential consistency with the Armv8 memory model. Learn more in this blog post.

This blog explores the different CPU performance benchmarks for devices in the home market, including DTVs and set-top boxes (STBs).

This blog outlines the top 5 reasons why people should switch to a Windows on Arm laptop, from the physical design and efficient performance to the growing ecosystem and robust security protections.

See the exciting new features along with compiler and library performance improvements in Arm Allinea Studio 21.1.

In this blog we compare the performance and price-performance of two popular compression algorithms - Zstd and Snappy - on Arm Neoverse-based C6g instances versus Intel Xeon-based C5 instances.

In this blog post, read about advancements in ML with Arm NN 2021.

Read this blog post for updates to the Arm Developer website.

SpiNNaker1 connected a million mobile phone processors, operating in some ways like a brain. SpiNNaker2 will drive the next generation of AI.

How technical training in Arm has evolved in 2021 and plans for a post pandemic training blended approach.

Exciting new features are added to Keil Studio, including support for over 400 development boards, ST-LINK, direct connection to AWS account and more.

University Program materials are now even easier to access via GitHub. Use our resources, tools and more to spark the potential of your students.

Arm's software contributions to Morello target various of open-source projects. This series of integrated software stacks target the Morello board and Morello Platform Model (FVP).

The goal for Arm’s Morello program has been to develop an experimental hardware technology demonstrator, in around two and half years.

As first step to deploy your NN model on Ethos-U, Vela Compiler is open-source and easy-use. Try it out and embrace the improvement of ML ability brought by Ethos-U to embedded system.

miniNodes is proud to host and manage the brand new Arm Community Developer Hardware Program with the goal of providing individual developers access to single board computers from an array of vendors.

This blog post explains how to optimize a trained deep neural network model to run on Ethos-U55 and Ethos-U65.

On-device automatic speech recognition is now becoming feasible and is useful in scenarios without internet connection or when data privacy is a concern.

In this blog we show how to auto-scale CI/CD deployments with GitHub Actions and Arm-based Kubernetes clusters.