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Companies like Microsoft have started to use FPGAs to accelerate high-performance, computationally intensive systems (like the [[data center]]s that operate their [[Bing search engine]]), due to the [[performance per watt]] advantage FPGAs deliver.<ref>{{cite magazine|url=https://www.wired.com/2014/06/microsoft-fpga/|title=Microsoft Supercharges Bing Search With Programmable Chips|date=16 June 2014|magazine=WIRED}}</ref> Microsoft began using FPGAs to [[Hardware acceleration|accelerate]] Bing in 2014, and in 2018 began deploying FPGAs across other data center workloads for their [[Microsoft Azure|Azure]] [[cloud computing]] platform.<ref name="ProjCatapult" />
Since 2019, modern generation of FPGAs have been integrated with other architectures like [[AI engine|AI engines]] to target workloads in artificial intelligence ___domain<ref>{{Cite journal |last=Gaide |first=Brian |last2=Gaitonde |first2=Dinesh |last3=Ravishankar |first3=Chirag |last4=Bauer |first4=Trevor |date=2019-02-20 |title=Xilinx Adaptive Compute Acceleration Platform: Versal TM Architecture |url=https://dl.acm.org/doi/10.1145/3289602.3293906 |journal=ACM/SIGDA International Symposium on Field-Programmable Gate Arrays |language=en |publisher=ACM |pages=84–93 |doi=10.1145/3289602.3293906 |isbn=978-1-4503-6137-8}}</ref>.
===Growth===
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