On the heels of its dual announcement at the Open Compute Project Summit in Amsterdam this week (see related story), Xilinx yesterday disclosed that AMD and Xilinx have teamed to set an AI inference processing record of 30,000 images per second. The joint work of the two companies, announced at the Xilinx Developer Forum in San Jose by Xilinx CEO Victor Peng and AMD CTO Mark Papermaster, connects AMD's EPYC CPUs and the new Xilinx Alveo FPGA accelerator card, announced yesterday at the OCP Summit. The record, running a batch size of 1 and Int8 precision, was accomplished on a system that leverages two AMD EPYC 7551 server CPUs with PCIe connectivity, along with eight Alveo U250 accelerator cards. In a blog post, Xilinx said the inference performance is powered by Xilinx ML Suite, which allows developers to optimize and deploy accelerated inference and supports various machine learning frameworks, such as TensorFlow. The benchmark was performed on the GoogLeNet convolutional neural network.