Arm Community blogs

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.

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

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.