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Agentic AI shifts computing from static models to dynamic, multi-step systems that coordinate memory, tools, and compute across devices and cloud to fulfill user intent autonomously.
Arm unveils Arm AGI CPU processors and a software ecosystem to support agentic AI workloads, highlighting performance gains and collaborative validation with industry partners.
Arm showcased deployable Arm AGI CPU systems and open agentic rack architectures at OCP Global Summit 2026, demonstrating progress from vision to practical infrastructure for machine-paced AI workloads.
Industry leaders propose a common API framework through the IETF to standardize trust verification across diverse AI supply chains, addressing scalability challenges in confidential computing attestation.
Arm outlines how developers are building agentic AI systems at the edge, balancing local and cloud processing while coordinating complex workflows across multiple models and frameworks.
Arm and the Micro:bit Educational Foundation celebrate a decade of a programmable computer distributed to 12 million devices across 85 countries, fostering digital skills and confidence among young learners globally.
Agentic AI systems can autonomously act, requiring security to extend beyond models to the full path from reasoning to execution across cloud, edge and physical systems.
Arm’s September 2026 updates highlight AI scaling across cloud, edge, and robotics, with new mobile, gaming, and wearables platforms leveraging unified compute foundations.
Arm and NVIDIA outline a security-focused AI infrastructure framework using Arm CPUs and DPUs to support scalable, agentic workloads while enforcing independent policy controls.
Arm’s FYE26 Sustainable Business Report highlights progress in sustainable AI computing, skills expansion, and real-world impact through partnerships and technology deployments.
Arm’s 2026 Shanghai and Shenzhen events outlined five developer takeaways for building and deploying AI across cloud, edge, mobile, graphics, and physical platforms, emphasizing workload-specific decisions and...
Arm unveils CSS for Mobile 2, an AI-native compute platform integrating new CPU and GPU engines to support agentic AI workflows and neural graphics on mobile devices.
Arm unveils the Mali G2-Ultra NX GPU, the first AI-native Mali GPU integrating neural acceleration into the graphics pipeline to deliver desktop-class mobile gaming within power limits.
Arm highlights August 2026 advancements in AI, autonomous systems, and mobile computing, emphasizing real-time processing, energy efficiency, and scalable infrastructure across diverse platforms.
Arm outlines a systems-focused approach to scaling AI-powered robots from lab demos to reliable, real-world deployment across industries such as manufacturing, logistics, and healthcare.
Arm and UNICEF launched AI in Play to expand AI innovation access for children and communities in emerging economies, building on their decade-long partnership.
IBM and Arm announced a dual-architecture processor for IBM Z and LinuxONE systems, enabling Arm-native Linux workloads alongside existing enterprise applications while maintaining IBM’s security and resilience...
Arm argues agentic AI’s success depends on system-level coordination rather than model or processor improvements alone, shifting focus to orchestration, heterogeneous compute, and open ecosystems.
Microsoft and Amazon reported rapid adoption of Arm-based CPUs for AI workloads, signaling a shift from GPUs to CPUs as core infrastructure for agentic AI systems in hyperscale cloud environments.
Arm reports July 2026 innovations across AI infrastructure, robotics and edge devices, highlighting NVIDIA’s Vera Rubin platform, PSYONIC’s bionic hand, and Arm AGI CPU deployments.
Arm is advancing neural graphics technologies for mobile gaming, including Neural Super Sampling and Neural Frame Rate Upscaling, to improve visuals and performance without increasing power consumption.
Arm reports that 99% of smartphones and half of cloud shipments use its architecture, meaning most software already runs on Arm without deliberate optimization, prompting developers to assess compatibility and...
Arm Performix introduces Dynamic Insights to provide AI-guided performance analysis for agentic development, enabling evidence-based optimization of software on Arm-based platforms using runtime data and architectural...
Atlassian migrated over 3,000 Jira and Confluence EC2 instances to AWS Graviton processors, then optimized performance through JVM tuning, cache analysis, and workload-specific strategies, achieving up to 30% throughput...
Arm argues that agentic AI shifts infrastructure focus from raw model speed to end-to-end workflow completion, requiring coordinated CPU, GPU and system-level orchestration to deliver reliable, measurable outcomes.
Arm and WILDLABS mark a decade of collaboration to advance conservation technology through open knowledge sharing, community-building, and power-efficient computing solutions.
Arm introduces the AGI CPU to address the demands of agentic AI workloads, which require coordinated orchestration across CPUs, accelerators, and memory. The design emphasizes balanced compute, memory, I/O, and power...
The Arm MCP Server integrates Arm’s developer tools into AI assistants via the open Model Context Protocol, enabling automated code analysis, workload migration, and performance optimization within existing workflows.
SOAFEE, an open automotive software initiative launched in 2021, transitions into a CoreCollective Working Group to expand collaboration across cloud, edge, and physical AI sectors while maintaining its existing...
Arm details the operational transformation behind its entry into silicon manufacturing, highlighting the integration of existing capabilities, quality culture, and strategic partnerships to meet market demands.