Arm

At #WebSummitVancouver, Arm CMO Ami Badani discussed why the rise of AI agents is reshaping how the industry thinks about compute infrastructure. Agentic AI is moving from centralized training environments ➡️ into real-world deployment - making the role of the CPU more important than ever. Scale across cloud and edge environments, calls for increased orchestration and power efficiency - and while GPUs remain essential for training large models - CPUs are playing a key role in managing distributed AI workloads and enabling more efficient compute at scale. Thank you to Web Summit for hosting yet another year of innovative and inspiring conversation. https://okt.to/27aIyv

Last week at the Special Competitive Studies Project - SCSP AI+ Expo, Arm joined industry leaders to discuss the future of AI and semiconductor growth. Vince Jesaitis, VP and Head of Global Government Affairs at Arm, moderated a panel on scaling the physical AI stack, while Stephen Ozoigbo alongside the Virginia Alliance for Semiconductor Technology explored how regional partnerships strengthen the semiconductor talent pipeline for the AI era. As AI moves into real-world systems, continued collaboration across industry, academia and government is critical in accelerating innovation and long-term growth - with Arm providing the trusted compute platform that helps enable them.

Big moments are made possible by the teams who build them. 💙 Behind the Arm AGI CPU was a global group of engineers, researchers, product teams and creatives bringing together deep technical expertise and a shared vision for where AI is headed next. It's a milestone moment for all of the teams who played a role in building the future of AI, on Arm.

On-device AI has often meant trade-offs—performance vs. complexity. That’s what’s changing with Google AI Edge and Arm SME2. With KleidiAI acceleration built into LiteRT, developers can run advanced AI on-device—no code changes required. Case in point: the original FP32 Stable Audio Open Small model runs fully on-device, with over 2x faster generation and 4x lower memory, without sacrificing quality. Start building with Google AI Edge tools and deploy optimized models with KleidiAI-accelerated LiteRT today: https://okt.to/DLqV7t

AI is reshaping semiconductor design, and the infrastructure behind it matters more than ever. 🎥 At #CadenceLIVE, Anirudh Devgan, CEO of Cadence discusses the rise of Arm-based compute across the cloud and data center ecosystem, and why broad software support across architectures is critical for the future of AI-driven design flows. Together, we’re helping enable scalable, AI-driven chip design workflows across modern compute environments. 🤝

We’re excited to host a developer meetup with NVIDIA at our San Jose office on May 19, bringing together developers, AI practitioners, architects, founders, and technical leaders for conversations around the future of AI compute and intelligent systems.👨💻 The evening will feature a panel discussion on building fast, efficient, production-ready AI applications, covering optimization strategies, quantization techniques, frameworks, and architectural considerations for modern AI workloads. Joining the panel and hosts: ➡️ Gene Chorba , Director of Developer Strategy, Arm ➡️ Prashant Sharma, Head of Developer Relations, Arm ➡️ Laurence Moroney, Director of AI, Arm ➡️ Mitesh Patel, Ph.D., Developer Advocate, NVIDIA Attendees can also expect live demos, networking opportunities, conversations with the broader AI developer community, and a raffle with prizes during the event. Space is limited! Register here: https://okt.to/dVme7w

Google’s introduction of Googlebook marks an exciting step forward for computing, bringing Gemini experiences to a new generation of laptops designed for AI-first experiences. Built on part of the Android tech stack and enabled by Arm compute, Googlebook brings together AI-powered experiences and deeper continuity across phones and laptops. Delivering these seamless experiences across the ecosystem depends on responsive, high-performance and power-efficient compute — capabilities Arm technology is designed to enable for next-generation AI experiences. Congratulations to the team at Google for the introduction of Googlebook, built for the future of AI. 🎉 googlebook.com

AI isn’t just about accelerators. 💡 As AI evolves toward agentic systems where software agents reason, decide and act, the role of the CPU becomes even more critical. It’s responsible for orchestrating workloads, managing memory, and coordinating across accelerators and infrastructure. The Arm AGI CPU is designed for this shift, delivering high performance and extreme rack-level density for agentic workloads. Built on Arm’s foundation of performance-per-watt and scalability, Arm continues to power AI from devices to the cloud.

Arm and Red Hat are expanding their collaboration around the Arm AGI CPU to support the next wave of AI infrastructure shaped by agentic systems. Working together to enable AI agents across cloud and on-prem environments. Arm AGI CPU provides the compute foundation for scalable, energy efficient performance across data centers - paired with Red Hat’s enterprise-grade, open-source platforms to enable a consistent foundation for AI Agents, cloud-native workloads, and enterprise applications. Together, Arm and Red Hat are advancing agentic AI infrastructure. 🚀 https://okt.to/rCexEQ

Join us live from Taipei on June 2 as Rene Haas, Arm CEO, shares how Arm is powering agentic AI from cloud to edge. #COMPUTEX2026