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[OPINION/INSIGHT ARTICLE] The surging demand for supercomputing power, driven by the insatiable appetite of AI/ML, big data analytics, and scientific research, has driven the HPC industry to push the ...
As the name Graphics Processing Unit (GPU) suggests, GPU processors are designed for image and video processing on computers–but they’re also optimized for extremely fast, highly parallel computation ...
In this video from the Switzerland HPC Conference, Torsten Hoefler from ETH Zurich presents: dCUDA – Distributed GPU Computing with Hardware Overlap. “Over the last decade, CUDA and the underlying GPU ...
The Register on MSN
Tenstorrent QuietBox tested: A high-performance RISC-V AI workstation trapped in a software blackhole
The $12K machine promises AI performance can scale to 32 chip servers and beyond but an immature software stack makes ...
GPU stands for graphics processing unit, but these tiny chips can be used for much more than just graphics. Google is using GPUs to model the human brain, and Salesforce leans on them as a way of ...
The modern GPU is more than a graphics device. Technologies such as the open-standard OpenCL and Nvidia’s CUDA turn the many small processors in a GPU into a parallel computing fabric, allowing ...
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