Intel Corp. and its subsidiary Altera today unveiled a range of new processors and field-programmable gate arrays or FPGAs designed to extend artificial intelligence capabilities to the network edge.

TL;DR: Ubitium is developing a Universal Processor that combines CPU, GPU, DSP, and FPGA into a single chip, aiming to revolutionize the market by reusing every transistor for multiple functions.

A technical paper titled “eGPU: A 750 MHz Class Soft GPGPU for FPGA” was published by researchers at Intel Corporation and Imperial College London. “This paper introduces the eGPU, a SIMT soft ...

In a world gone mad over GPUs for AI acceleration, FPGA processors are seeing limited adoption in the data center for genAI workloads, with their primary use still in embedded markets and edge AI ...

Nvidia has officially ushered in the "quantum GPU computing era" by unveiling NVQLink, claimed to be the world's first architecture connecting quantum systems with classical CPU and GPU-based systems.

Editor's take: GPUs are the leading semiconductor option for most AI systems today, but we think other chips will play important roles down the path including CPUs and possibly even FPGAs. With all ...

The report "Generative AI Server Market by Processor Type (GPU, FPGA, ASIC), Function (Training, Inference), Form Factor ...

Discover how FPGA-accelerated automatic speech recognition (ASR) models are reshaping the landscape of speech-to-text applications by enabling faster inference, significantly reduced latency, and ...