BittWare Unveils 7nm Speedster7t FPGA Accelerator

Today BittWare announced its new S7t-VG6 PCIe accelerator product—a feature-rich PCIe card sporting the new Achronix 7nm Speedster7t FPGA. Developed in cooperation with Achronix Semiconductor Corporation, this next generation product offers a range of breakthrough capabilities including low-cost and highly flexible GDDR6 memories that offer HBM-class memory bandwidth, high-performance machine learning processors and a revolutionary 2D network-on-chip for high bandwidth and energy-efficient data movement.

Intel awards Paderborn University a Hybrid Cluster with Arria 10 FPGAs

The Paderborn Center for Parallel Computing (PC²) has been selected by Intel to host a computer cluster that uses Intel’s Xeon processor with its Arria 10 FPGA software development platform.” The availability of these systems allows us to further expand our leadership in this area and – as a next step – bring Intel FPGA accelerators from the lab to HPC production systems,” says Prof. Dr. Christian Plessl, director of the Paderborn Center for Parallel Computing, who is been active in this research area for almost two decades.”

Accelerating the Alibaba Cloud with Intel Arria 10 FPGAs

The Alibaba Cloud has announced a pilot program with Intel for a cloud-based FPGA acceleration service with the goal of enabling customers to have virtual access to powerful compute resources in the cloud to help them manage business, scientific and enterprise data application workloads more effectively. “This service greatly adds to our value as a leading provider of highly scalable cloud computing and data management services that provide businesses with flexible, reliable connectivity.”

Intel FPGAs Break Record for Deep Learning Facial Recognition

Today Intel announced record results on a new benchmark in deep learning and convolutional neural networks (CNN). ZTE’s engineers used Intel’s midrange Arria 10 FPGA for a cloud inferencing application using a CNN algorithm. “ZTE has achieved a new record – beyond a thousand images per second in facial recognition – with what is known as “theoretical high accuracy” achieved for their custom topology. Intel’s Arria 10 FPGA accelerated the raw design performance more than 10 times while maintaining the accuracy.”