Browsing: edge AI

AMD’s CTO Mark Papermaster believes that inference workloads are shifting from data centers to edge devices like phones and laptops, driven by cost and efficiency considerations.

Renesas Electronics Corporation has launched the RZ/V2N microprocessor (MPU), designed to enhance AI performance in embedded devices. This new MPU features the DRP-AI3 accelerator and a dual-camera interface, making it ideal for applications requiring high efficiency and precision, such as industrial and public facility cameras and driver monitoring systems.

Getac introduces the B360 and B360 Pro, fully rugged laptops featuring Intel Core Ultra Series 2 processors and AI Boost technology, providing tailored solutions for public safety, utilities, and defense sectors.

Microsoft has launched a new generation of highly efficient AI models, Phi-4, capable of processing text, images, and speech simultaneously while demanding significantly less computing power.

Arm’s new Cortex-A320 CPU core, aimed at 64-bit Armv9 AI, is designed for edge workloads, promising significant performance gains for devices like doorbells and wearables.

Taiwanese DRAM chipmaker Nanya Technology plans to create specialized high-bandwidth memory (HBM) chips tailored for edge AI devices, differentiating itself from competitors.