Achronix’s Speedcore Gen 4 can be tailored for machine-learning applications as well as to deliver high-performance FPGA connectivity for embedded FPGAs.

FPGA maker Xilinx has acquired Chinese deep learning chip startup DeePhi Tech for an undisclosed sum. The Next Platform has been watching DeePhi closely over the last few years as it appeared to be ...

What’s the killer app for FPGAs? For some people, the allure is the ultra-high data throughput for parallelizable tasks, which can enable some pretty gnarly projects. But what if you’re… ...

Customer experiences show that optimized FPGAs offer several advantages for deep learning applications and other AI workloads: High real-time performance and throughput.

This university program will offer professors, researchers, and students access to a broad collection of pre-developed curricula, software tools, and programmable hardware to help accelerate the FPGA ...

[KF5N] admits he’s not a digital design engineer; he’s more into the analog RF side of things. But he’s recently taken on a project to communicate between a Ubuntu box and an Inte… ...

For machine learning applications, that means primarily using FPGAs for inference, rather than training. The rationale here is pretty straightforward: inference requires lower precision and less ...

Achronix’s Speedster7t FPGAs utilize high-speed networks to provide faster communication between machine-learning blocks, storage, peripherals, and FPGA fabric.

FPGAs have long been used in the early stages of any new digital technology, given their utility for prototyping and rapid evolution. But with machine learning, FPGAs are showing benefits beyond those ...

Machine Learning Shifts More Work to FPGAs, SoCs SoC bandwidth, integration expand as data centers use more FPGAs for machine learning.

Download the report from Advanced Micro Devices (AMD) and Xilinx, that explores deep learning and the value of combining CPU, GPU, FPGA technologies.

This afternoon Microsoft announced Brainwave, an FPGA-based system for ultra-low latency deep learning in the cloud. Early benchmarking indicates that when using Intel Stratix 10 FPGAs, Brainwave ...