Silicon Valley adaptive computing bellwether Xilinx announced its entrance into the growing system-on-module (SOM) market today, with a portfolio of palm-sized compute modules for embedded ...
AMD’s $35 billion acquisition of semiconductor company Xilinx is officially going through, with the deal — originally announced in October 2020 — finally meeting all the various regulatory approval it ...
Forbes contributors publish independent expert analyses and insights. Dave Altavilla is a Tech Analyst covering chips, compute and AI. Another Silicon Valley bellwether just made the jump to 7nm ...
SANTA CLARA, Calif., Feb. 14, 2022 (GLOBE NEWSWIRE) -- AMD (NASDAQ: AMD) today announced the completion of its acquisition of Xilinx in an all-stock transaction. The acquisition, originally announced ...
(Bloomberg) -- Advanced Micro Devices Inc. agreed to buy Xilinx Inc. for $35 billion in stock, quickening the pace of chip industry dealmaking and using its largest acquisition ever to add products to ...
AMD will acquire Xilinx in an all-stock transaction valued at $35 billion. The transaction has been unanimously approved by both companies' boards, but is subject to approval by AMD and Xilinx ...
Xilinx will substantially boost AMD's profile in the chip space and make it even more profitable. During its last quarter, Xilinx reported revenue of $879 million, up 21% from a year ago and putting ...
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SAN JOSE, Calif.--(BUSINESS WIRE)--Xilinx, Inc. (NASDAQ: XLNX), the leader in adaptive computing, today announced that it has acquired Silexica, a privately-held provider of C/C++ programming and ...
Earlier this year, Victor Peng, the new CEO of semiconductor designer Xilinx, outlined his vision for a "data center first" company in an interview with DCD. Today, at the Xilinx Developer Forum (XDF) ...
Latest release includes the New MicroBlaze Micro Controller System, Enhanced Debug with 2D Eye Scan and Partial Reconfiguration Support for Artix-7 and Virtex-7 XT FPGAs SAN JOSE, Calif. -- Jan. 18, ...
Audio and video synthesizers have been around for decades, and are pretty much only limited by one’s willingness to spend money on them. That is, unless you can develop your own FPGA-supercharged ...