SAN FRANCISCO—Rene Haas, chief executive of the chip company Arm Holdings ARM-3.84%decrease; red down pointing triangle, took the stage Tuesday in a repurposed waterfront pavilion to unveil his ...

A worsening supply constraint in central processing units made by Intel (INTC) and Advanced Micro Devices (AMD) is impacting PC and server makers who are already affected by the memory chip shortage, ...

The Arm AGI CPU can have up to 136 cores per CPU, claiming it has double the performance per watt of x86 chips. The Arm AGI CPU can have up to 136 cores per CPU, claiming it has double the ...

At its Arm Everywhere event in San Francisco, Arm Holdings (ARM) took the wraps off its long-awaited custom-designed CPU, aimed at the data center market. The Arm AGI CPU has up to 136 V3 cores per ...

CNBC got an exclusive first look at Arm's first ever in-house chip, the AGI CPU, purpose-built for running AI inference in data centers. Meta is the first official customer for the new chip, with ...

Alibaba designed the XuanTie C950 central processor unit (CPU) for agentic AI purposes. While much of the attention has focused on GPUs, an area Nvidia dominates, CPUs are seen as key for AI ...

Intel’s Core Ultra lineup of desktop and laptop processors has been frustrating to review. None of them has been across-the-board awful or totally without redeeming qualities. But Intel has struggled ...

In brief: AMD dominated Amazon's best-selling CPU chart back in November 2024, taking the top 12 spots. But has Team Red managed to hold on to that momentum over a year later? Today, the top 14 ...

Discussions about CPUs often frame one instruction set architecture (ISA) against another—x86 vs. Arm, Arm vs. RISC-V, and so on. However, it’s common to use multiple CPU architectures in a single ...

Fig. 1: Created by ChatGPT from a text prompt. The data center processor market has seen two major tectonic shifts in the last decade. It used to be that all data center compute was x86, and well more ...

The idea of simplifying model weights isn’t a completely new one in AI research. For years, researchers have been experimenting with quantization techniques that squeeze their neural network weights ...