Arm continues to fortify ecosystem for the future of AI

Undoubtedly, artificial intelligence (AI) has become a driving force that, if properly used, can deliver breakthroughs and transform billions of lives. Today, AI is transforming major markets, from the enterprise sector to the consumer segment. Data centers, cars, PCs, smartphones, and even earbuds now use AI to deliver sensible solutions to businesses and end users.With AI running on consumer devices, AI has become mainstream. For example, with the help of consumer devices, ChatGPT reached a million users in just five days, making it the fastest-growing product of all time. ChatGPT is a generative AI model, and more models are anticipated to emerge in the coming months. In the last 18 months, around 150 new foundation models have emerged. Apart from generative AI, agentic AI has also become ubiquitous, while physical AI is emerging. More advanced than other AI categories, physical AI can sense, interact with, and respond to the physical world. Physical AI is anticipated to transform how people build, move, and operate."But with AI's rise come new demands, and meeting those demands will require more partnership, more innovation, and more ambition than ever before, said Chris Bergey, senior vice president and general manager for client line of business at Arm, during the company's executive session at COMPUTEX 2025. Citing Taiwan as an important partner in meeting global AI demands, Bergey continued: "Taiwan is the backbone of the global AI supply chain. It’s your engineering, innovation, and integration—the tight collaboration across design, hardware, and manufacturing that makes this ecosystem so critical."Bergey enumerated the three foundational elements that make the future of AI possible: a ubiquitous platform from cloud to edge; supporting the world's largest software developer ecosystem; and world-leading performance per watt. These elements serve as the foundation of the Arm Compute Platform.Arm Compute Platform—Built for the Age of AIWith more than 310 billion Arm-based chips shipped, the Arm Compute Platform is one of the most ubiquitous compute platforms with a vast compute footprint today. Because of its ubiquity and footprint size, approximately 22 million developers prefer building on the Arm platform. To help developers, Arm announced last year KleidiAI, a suite of AI software libraries that can be seamlessly plugged into all AI frameworks to optimize AI workloads running on CPUs. "In just one year we’ve seen rapid progress," said Bergey. "Today, KleidiAI is integrated into the world’s leading AI frameworks (ONNX Runtime, LiteRT, MediaPipe, ExecuTorch, PyTorch, llama.cpp, and the MNN framework for Alibaba’s Qwen model, Tencent Hunyuan). This is unlocking real-world AI experiences across all of Arm’s markets–automotive, cloud, data center, IoT, mobile, and PC."Arm is also working with OEMs and platform providers, many of which are based in Taiwan, to extend the Arm Compute Platform to PCs. Arm powers 99% of smartphones, and the company wants to replicate this success with the advent of AI PCs.“Today, the Arm ecosystem is powering innovation across every major platform: Apple’s custom silicon, Windows on Arm devices, and now ChromeOS and Android with new ultra-efficient platforms built for AI. We expect more than 40% of PC and tablets to be Arm-based in 2025,” said Bergey.Working on Power Efficiency to Make AI ScaleApart from working with millions of developers, Arm is also working on making its platform more power-efficient. AI-first workloads are more power-hungry than ever. In Taiwan, for example, data center power usage is forecasted to increase 8x by 2028. "It’s clear if we don’t solve for efficiency, AI can’t scale. We need a fundamentally different approach—one that rethinks how we integrate CPUs, GPUs, and the entire system around performance per watt," said Bergey. With over 40 years of industry experience, power efficiency has always been a priority for Arm. Arm has been in the data center for a long time, starting with its work with Amazon Web Services (AWS). Today, more than 50% of AWS's new CPU capacity was on the Arm-powered AWS Graviton. Aside from AWS, every major cloud provider is now building Arm-based instances, achieving at least 40% power efficiency savings. In 2020, Arm announced its Neoverse CPUs. Tightly coupled with GPUs and DPUs, Arm Neoverse CPUs eliminate bottlenecks. Equipped with Arm Neoverse V2 cores, NVIDIA's Grace Blackwell platform is an integrated system where every component is optimized to work together. "Every major hyperscaler is rethinking their infrastructure, understanding that the only way to meet the performance, efficiency, and scalability demands of AI is by designing that system from the ground up—with each piece purpose-built for the role it plays," said Bergey.Arm expects that nearly 50% of all new chips shipped to hyperscalers by the end of 2025 will be based on Arm.“Together with the Taiwan ecosystem, we’re building the foundation for AI that runs everywhere: in the cloud, at the edge, and everywhere in between. We have a once-in-a-lifetime opportunity. Let’s build the future of AI—from cloud to edge, on Arm, together,” Bergey concluded.