Field-Programmable Gate Arrays (FPGAs) have emerged as a versatile platform for accelerating computer vision tasks by exploiting fine-grained parallelism, deep pipelining and reconfigurable logic.
AI is hungry, hyperscale AI ravenous. Both can devour processing, electricity, algorithms, and programming schedules. As AI models rapidly get larger and more complex (an estimated 10x a year), a ...
What are the main drivers of high-throughput SDRs? Selecting the right SDR platform and FPGA. The role of network interface cards. How are NVM and NVMe implemented in high-throughput SDR system?
ZUG, Switzerland--(BUSINESS WIRE)--Liquid-Markets GmbH (“LMS”) today announced the launch of ÜberNIC™, a family of Intel Agilex FPGA-based ultra-low latency, lossless, general-purpose Ethernet ...
Flexibility is key to FPGA success, but speed is equally important. Achronix almost triples the throughput of the system by taking clock gating to the extreme. The Achronix Speedster FPGAs use a ...
Mipsology’s Zebra Deep Learning inference engine is designed to be fast, painless, and adaptable, outclassing CPU, GPU, and ASIC competitors. I recently attended the 2018 Xilinx Development Forum (XDF ...
Cloud computing has become the new computing paradigm. For cloud computing, virtualization is necessary to enable isolation between users, high flexibility and scalability, high security, and ...
Xilinx has launched a new FPGA card, the Alveo U50, that it claims can match the performance of a GPU in areas of artificial intelligence (AI) and machine learning. The company claims the card is the ...
In today’s world, when the entire computing industry is talking about high-performance and high-speed applications using FPGAs, what are the factors that can assure such performance and speed? The ...
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