In business software, the computer chip has been forgotten. It’s a commodity lying way down deep, underneath the business applications. Robotics has been more tightly tied to individual hardware ...

In the last couple of years, we have written and heard about the usefulness of GPUs for deep learning training as well as, to a lesser extent, custom ASICs and FPGAs. All of these options have shown ...

Applications and infrastructure evolve in lock-step. That point has been amply made, and since this is the AI regeneration era, infrastructure is both enabling AI applications to make sense of the ...

Zynq UltraScale+ FPGA, mounted on a custom board, and connected to a computer via PCIe. FuryGpu supports the same hardware performance as a high-end graphics card from the mid-1990s and a Windows ...

" Field-programmable gate array (FPGA)" is in the world of computing, when Intel acquires FPGA maker Altera at a huge price, Microsoft uses FPGAs for data centers, Amazon's AWS supports FPGAs, I am ...

Bolt Graphics has announced its completed tape-out of a test chip for its Zeus GPU, marking the startup's move from FPGA ...

A decade or so before the GPU started storming the datacenter thanks to Nvidia’s Tesla GPU accelerators and their CUDA parallel programming environment and CPU offload model, FPGAs were starting to ...

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.

Xilinx has launched a new FPGA card, the Alveo U50, that it claims can match the performance of a GPU in areas of artificial intelligence (AI) and machine learning. The company claims the card is the ...

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 ...