Tel Aviv – Feb. 10, 2021 – NeuReality, an Israeli startup developing high performance AI compute for cloud data centers and edge nodes, emerges from stealth today with $8M seed from Cardumen Capital, OurCrowd and Varana Capital to fuel the growth of real-life AI applications running at scale. NeuReality will introduce its first AI platform […]
In this guest article, our friends at Intel discuss how accelerated computing has diversified over the past several years given advances in CPU, GPU, FPGA, and AI technologies. This innovation drives the need for an open and cross-platform language that allows developers to realize the potential of new hardware, minimizes development cost and complexity, and maximizes reuse of their software investments.
Firms of all sizes are leveraging workstations as part of their artificial intelligence (AI) workflows. In the past, many firms relied on highly-scaled servers in data centers or private/public cloud infrastructure to run their AI applications. However, the results of a recent survey commissioned by Dell and executed by Forrester summarized in this white paper have indicated a quarter of firms are actually using workstations today to run core AI business applications and are experiencing the benefits that workstations can offer.
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