Molex To do new affordable 16 nm Xilinx FPGA dev board for crypto mining and other high performance applications, which they have made available via the crowd Supply website with prices starting from ...
Field-programmable gate arrays (FPGAs) are chips that can be reprogrammed to meet specific needs or perform specific functions after they're manufactured, giving developers the flexibility to alter ...
Datacenters, especially the really big guys known as the Super 7 (Alibaba, Amazon, Baidu, Facebook, Google, Microsoft and Tencent), are experiencing significant growth in key workloads that require ...
Chipmaker Xilinx ( XLNX) initially got a lift from the Bitcoin mining craze in the December quarter as it topped sales and earnings estimates for the period, but couldn't hold on to those gains.
Why are so many companies suddenly jumping into the datacenter accelerator game? Major chip companies such as Intel, NVIDIA and Xilinx as well as startups such as Nervana (being acquired by Intel), ...
Xilinx has launched its first Targeted Design Platforms for accelerating systems development and integration with its 28nm 7 series Field-Programmable Gate Arrays (FPGAs). Xilinx’s Targeted Design ...
Off-the-shelf programmable PMICs from AnDAPT are now available for Xilinx Zynq UltraScale+ and Artix UltraScale+ FPGAs and adaptive SoCs. These customizable power designs, which have been reviewed and ...
At DesignCon 2005, Xilinx Inc. today showcased the industry's first demonstration of Virtex-II Pro X RocketIO Multi-Gigabit Transceivers (MGTs) driving 10 Gbps of serial data over one meter of ...
SAN JOSE, Calif. -- Oct. 5, 2009 -- Xilinx (Nasdaq: XLNX) today announced that its low-cost Spartan®-6 FPGA family is compliant with the PCI Express® 1.1 specification, enabling low-risk and ...
As AMD is getting closer to closing its $35 billion acquisition of FPGA maker Xilinx, it is natural to think about how well that business is doing and how it is competing against its main rival, Intel ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results