With the recent Arm SME2 announcement, the role of Arm KleidiAI is increasingly clear as Arm’s AI accelerator layer powering the next wave of AI.

Led a hands-on Yellow Teaming workshop at WeAreDevelopers, exploring Responsible AI and LLMs on Arm-powered tech.

Arm energized KubeCon + CloudNativeCon China 2025, driving record dev engagement and showcasing cloud-native AI innovation on Arm-based infrastructure.

Metis uses AI to detect design flaws and logic bugs missed by traditional tools, helping teams build secure software with context-aware reviews.

Build next-gen mobile AI apps with SME2—no code changes needed. Accelerate performance across devices using top AI frameworks and runtimes.

A year of Arm KleidiAI in XNNPack brings major ML performance boosts—no code changes needed. Transparent, seamless acceleration on Arm CPUs.

Learn how senior engineers can coach AI coding agents to design, debug, and deliver high-quality code in immersive dev environments.

Boosted Llama.cpp Q6\_K & Q4\_K inference using Arm's I8MM (smmla) for faster, efficient int8 matrix multiplies on Neoverse-N2 CPUs.

Yellow Teaming helps developers build responsible AI by aligning products with long-term value, not just short-term success.

Real-time AI audio on Arm: Generate 10s of sound in ~7s with Stable Audio Open Small, now open-source and ready for mobile.

As AI adoption in edge computing grows, deploying PyTorch models on ARM devices is becoming essential. This tutorial guides you through the process.

What's new with KleidiCV 0.2.0 and 0.3.0? Updates include new features and performance enhancements.

Part 2 explores the challenges of porting such a complex pipeline to Android, with insight on key design choices to facilitate the process.

This blog investigates how to extend AI’s capability to recreate songs with lyrics in another language using open-source ML models available today.

The Corstone-320 FVP emulation platform offers a powerful foundation for developing advanced ML applications. Learn how to develop and test ML applications without physical hardware.

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.

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

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

Demonstrating the performance benefits of the NPU by running two TinyML applications on a modern microcontroller that is equipped with an Arm Ethos-U55 NPU.

Developing AI applications for camera trap data to non-invasively monitor bears and other wildlife.

This blog post shows the results of a research project into speaker identification using a DNN. Learn more about the key performance results, and future applications in AI tasks.