Arm Blog

Learn how to find and fix hidden graphics performance problems in mobile games using Arm Performance Studio.

Moving beyond a local-model demo requires more than an inference endpoint. Developers need an operational local-first runtime with explicit data boundaries

Discover how JDK 21 and JDK 25 improve AArch64 performance with enhanced C2 auto-vectorization, NEON, SVE, and new JVM intrinsics

First Contact explores an Android-native architecture for running on-device LLMs in mobile games, enabling real-time NPC dialogue

Learn how Elasticsearch on AWS Graviton5 delivers a strong balance of query throughput, median latency, tail latency and indexing performance.

Arm and Google Cloud partnership establishes the foundation for cloud-native software development. The collaboration enables a continuous shift-left workflow long before production hardware is availab…

Dynamic Insights connects Arm Performix run data to coding agents through MCP. Here is how we test that the generated performance advice is not just plausible, but grounded in profile evidence

Explore the latest Arm Performix features, from AI-assisted profiling to system analysis, code insights, and streamlined performance investigations

Learn how Harbor gained upstream arm64 support through native builds, multi-architecture releases, and upstream collaboration for Arm-based cloud platforms

Discover support.arm.com, Arm's new platform for product documentation, downloads, training, technical support, and customer services

Discover how the Arm SDS Framework enables deterministic testing, reproducible AI workflows, and faster Physical AI development on embedded devices

How the on-device Smart Gallery enables more natural, private user experiences on Android.

How an Agent Skill Turned Arm Performix into an AI Performance Optimization Workflow

Persistent AI is about more than local inference. Learn why CPU orchestration, memory, and runtime design are key to agent systems

Learn how Web AI brings local AI inference to the browser, improving responsiveness, privacy, and portability across Arm platforms

Learn how AMBA CHI C2C enables chiplet interoperability and scales for AI workloads through property negotiation for greater flexibility

Learn how Frame Advisor uses Vulkan debug labels to organize API calls, name graphics objects, and make complex frame captures easier to understand

How the Ambassador experience shaped my view of developer enablement

Discover how TPL plugins extend AMBA Viz with custom hardware signal, bus, and event analysis for more flexible RTL debug and performance analysis

Explore quantization techniques for mobile AI, compare INT8 and INT4 approaches, and see Gemma benchmark results on Arm CPUs

Explore Arm Development Studio 2026.0, featuring Arm SoC Analyzer, enhanced debugging, toolchain updates, and faster SoC bring-up workflows

Learn how an open-source project uses Arm Ethos-U65 to deliver real-time, offline gesture recognition for automotive infotainment with on-device AI that protects privacy end-to-end

Discover how Nanite scales to mobile, delivering richer geometry, improved visuals, and balanced performance in the Unreal Engine Mori demo

Edge AI, DSP, and real-world embedded systems: four experts cut through the hype and share what actually matters for engineers building today

Explore how Unreal Engine MegaLights brings scalable many-light rendering to mobile, delivering 5× higher performance than deferred shading

Move beyond benchmarks with practical Armv9 Learning Paths for deploying, observing, and evaluating modern AI workloads at the edge.

Cloud infrastructure is entering a new phase with Agentic AI and Hyperscalers like Microsoft are driving this shift with a silicon to software approach in collaboration with Arm