Blogs

Explore how to integrate Rust with Real-Time Operating Systems (RTOS) on Arm microcontrollers and processors.

Learn how to build a distributed kubernetes cluster on Arm Neoverse-based instances.

In this blog post, we review the improvements made to Arm Performance Libraries 24.10.

Learn how Rust enhances safety and performance on Arm microcontrollers, with practical examples and insights from Jonathan Pallant.

How vendors can reduce cost and adapt to longer product lifecycles with an updated, compliance-based Arm SystemReady programme.

Google Axion is an excellent choice for AI inference, capable of handling a wide range of workloads from traditional machine learning tasks like XGBoost to generative AI applications such as LLaMa.

Explore the latest innovation on Arm technology, held at Arm(E3)NGAGE IEEE Ecosystem Lab at Kenyatta University.

H.265 video compression needs more power. Arm Neoverse N2 based Alibaba Yitian710 offers better performance and efficiency for video transcoding. Learn more.

Learn more about the TinyML sustainability workshop in Sao Paulo, Brazil.

Learn how Arm and Meta have collaborated to enable AI developers to deploy quantized Llama models on Arm CPUs using ExecuTorch and KleidiAI.

Get started in exploring ExecuTorch on Arm Ethos-U85 by checking out the code and tools Arm has released to seamlessly deploy AI models on IoT solutions built on Arm.

This blog post outlines the strategies utilized to enhance Pardiso's performance by leveraging the Arm architecture and presents a comparative study with Intel MKL Pardiso.

In this blog post, we compare the performance of AWS Graviton4 and AWS Graviton3 for running LLMs, and demonstrate how Llama 3 70B can be run with human readable performance on AWS Graviton4

In this blog post, we provide an overview of the System Monitoring Control Framework (SMCF) for Arm-based SoCs. SMCF is a programmable control framework for the next generation silicon.

Read through a recap of the following workshops: Navigating the Cloud: Practical Applications and Insight and From Data to Intelligence: The AI Journey.

Arm architecture and performance improvement contribution summary for LLVM 19 release.

Learn about the new shader analysis features for mobile developers in Frame Advisor, and hear about other Arm Performance Studio changes in this release.

Arm's 2024 v9.6-A extensions introduce significant updates to enhance computing performance, efficiency, and security for today’s AI enabled software.

In this blog post, we show how Arm Neoverse-based CPUs like AWS Graviton4 can provide leading performance on ANSYS applications Fluent and LS-Dyna compared to x86 CPUs.

Explore how integrating Arm’s STL into Classic AUTOSAR and microcontroller hypervisors enhances automotive safety and reliability, meeting ISO26262 standards.

Save battery and enhance mobile gaming with ADPF and Unreal Engine. Mori shows you how it optimizes graphics based on real-time thermal data, reducing overheating and power consumption.