This afternoon Xilinx sketched in the outlines of their next-generation FPGA program. Without naming products or giving specifications, the company said that its 28nm FPGAs would be built by Samsung ...
XLNX announced today that it has begun shipment of the one-million system-gate radiation hardened Virtex® FPGAs, the XQVR1000(TM) device, to the Jet Propulsion Laboratory and other customers for ...
Xilinx, Inc. (NASDAQ: XLNX) announced today that hundreds of its Space Grade FPGAs were deployed in the launch of the Iridium NEXT satellites. Space Grade Virtex®-5QV devices provide scalability and ...
SAN MATEO, Calif. — Several years after exiting the FPGA-to-ASIC conversion business, Xilinx Inc. (San Jose, Calif.) has come up with a “no-risk” alternative for customers who want a lower piece price ...
FPGA provider to Aerospace & Defense industry provides design flexibility and critical design services for U.S. government national oceanic & atmospheric project SAN JOSE, Calif., May 1, 2007 – ...
Meeting with Xilinx and its partners this week at Amazon AWS re:Invent gave me a chance to understand where FPGAs are making progress, and what is preventing them from making more. If you recall, the ...
Most Americans consider Black Friday to be the biggest shopping extravaganza of the year. No doubt it is huge, with an estimated $5B in all U.S. retail sales (online and in-store) on Black Friday 2017 ...
A field programmable gate array (FPGA) is a user-programmable piece of silicon constructed in very large-scale integration (VLSI) technology. The VLSI transistor-level detail is absolutely predefined ...
As data centers are called upon to handle an explosion of unstructured data fed into a variety of cutting-edge applications, the future for FPGAs looks bright. That’s because FPGAs, or field ...
Xilinx is known for high-performance FPGAs. The company delivered impressive development tools for hardware and software that takes advantage of its FPGA and SoC platforms, such as the Vivado Design ...
FPGAs might not have carved out a niche in the deep learning training space the way some might have expected but the low power, high frequency needs of AI inference fit the curve of reprogrammable ...