Blogs

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.

The SVMATCH instruction in Arm SVE2 accelerates multi-token string matches, boosting performance in tasks like JSON decoding.

Accurate battery management systems are essential in the era of EVs. IIT Hyderabad’s team has turned its research into a prize-winning start-up.

Blog post about automotive transformation and embedded real-time virtualization technology, leveraged by Elektrobit’s EB tresos Embedded Hypervisor.

In this blog post, Arm IT shares how it has saved money, space, and power by deploying HPE RL300 Gen11 servers for its EDA workloads.

This blog post explores three video and image use cases demonstrating the proven impact of the Armv9 CPU architectural features.

The CPU Utilization metric can be misleading when comparing Arm Neoverse processors with SMT-enabled architectures. This blog post explains why and how to address it.

Nairobi's hardware development scene is discussed by Arm Ambassador, Kevin Odero.

Read about the Arm Developer Community showcase event from Arm Ambassador, Fidel Makatia.

In this blog post, we show the steps for running a Llama 3.1 demo on AWS Graviton4, and how Arm Kleidi Technology can be used to improve the performance of LLMs running on PyTorch.

In this blog post, we review Kleidi Technology contributions Arm has made to the PyTorch framework and how these greatly improve PyTorch inference performance.

In this blog post, we show how Kleidi Technology improves the performance of Automatic Speech Recognition on Neoverse N2-based Alibaba Yitian 710 CPUs, outperforming x86-based options.

In this blog post, we explore a neural network based solution for improving low light video and optimizing for mobile.

In this blog post, we explore how the Arm KSA Framework can help optimize learning and we describe some of its possible applications.

This blog post highlights that G8Y outperforms G7, showing up to a 36% improvement in Elasticsearch performance on Alibaba Cloud Yitian 710 instances.

OpenRNG the new open-source RNG optimised for Arm; easily port apps with a drop-in replacement for VSL RNG calls. Get the best performance on Arm.

This blog post presents the KSA framework. It aligns with renewed government, industry, and educational institutions’ interest in workforce development in the semiconductor sector.

In this blog post, we show how a hybrid runtime and k3s can be used to deploy an application onto an edge platform that includes an embedded processor.

This blog post identifies heterogeneity as an opportunity to create better edge computing systems.