Arm Revolutionizes AI Capabilities for Smartphones with New Designs and Delivery Methods

Jun. 03, 2024.
2 min. read. 2 Interactions

Arm unveils AI-optimized chip designs, partners with Samsung and TSMC, to drive next-gen smartphone performance.

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Arm launched new designs for central processing units (CPUs) that it said are better suited to AI work (Credit: GizmoGuru via Mage.Space)

In a significant stride for smartphone technology, Arm Holdings has unveiled cutting-edge chip blueprints and software tools designed to enhance the artificial intelligence (AI) capabilities of mobile devices. This announcement highlights Arm’s commitment to pushing the boundaries of AI performance and efficiency across various computing platforms, including smartphones, PCs, and data centers.

Arm’s new Compute Subsystems (CSS) for Client, a state-of-the-art solution tailored for AI applications, promises remarkable performance improvements. These advancements include a more than 30% increase in compute and graphics performance and a 59% faster AI inference, which is crucial for handling demanding AI, machine learning, and computer vision workloads. This leap in performance is particularly noteworthy as AI models continue to evolve rapidly, outpacing existing hardware capabilities.

A key aspect of Arm’s latest offerings is the shift in how they deliver their technology to chipmakers. Traditionally, Arm provided specifications or abstract designs that required extensive translation into physical blueprints, a process involving the complex arrangement of billions of transistors. However, in collaboration with industry giants Samsung and TSMC, Arm now provides ready-for-manufacturing physical chip blueprints. This streamlined approach significantly reduces time-to-market for chipmakers, enabling faster integration of advanced AI features into devices.

Samsung’s Jongwook Kye lauded the partnership, emphasizing how the combination of Samsung’s 3nm process with Arm’s CPU solutions meets the growing demand for generative AI in mobile devices. He highlighted the importance of early and close collaboration in achieving on-time silicon delivery that meets performance and efficiency targets. Similarly, TSMC’s Dan Kochpatcharin described the AI-optimized CSS as a prime example of their collaborative efforts pushing the boundaries of semiconductor innovation for unparalleled AI performance and efficiency.

Arm’s strategy extends beyond merely providing specifications. The company aims to enable its customers to bring products to market more rapidly by offering more refined, “baked” designs that can be tightly integrated with customers’ neural processing units (NPUs). This approach allows for the rapid development of powerful AI-driven chips and devices, a critical factor as AI becomes increasingly central to both PC and smartphone functionalities.

Chris Bergey, Arm’s senior vice president and general manager of the client line of business, emphasized that Arm’s goal is not to compete with its customers but to facilitate their innovation. By providing optimized designs for neural processors, Arm supports the development of cutting-edge AI solutions, helping customers accelerate their time-to-market while focusing on other crucial aspects of chip design.

The introduction of these new designs and delivery methods signifies a transformative period for Arm and its partners. By addressing the accelerating demands of AI and offering practical, ready-to-use solutions, Arm continues to play a pivotal role in advancing the capabilities of modern computing devices, ensuring they remain at the forefront of technological innovation.

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