by Karl Freund | Apr 20, 2020 | Research Paper
It goes without saying that designing complex semiconductors is an extremely challenging engineering process. While the chips themselves are small, and the individual features on the chips are tiny, as small as 7 nanometers (seven billionths of a meter), the intricacy...
by Karl Freund | Apr 10, 2020 | AI and Machine Learning, In the News
While the IBM hardware business today is limited to POWER and Mainframe chips and systems, the technology giant is quietly building its expertise and capabilities in AI hardware. Where this could end up is anybody’s guess, but here are a few thoughts about what IBM is...
by Karl Freund | Apr 3, 2020 | AI and Machine Learning, In the News
Intel certainly has a lot of irons in the AI fireplace, including Xeon CPUs, Movidius computer vision chips, MobileEye chips for autonomous driving and Deep Neural Network training and inference processing technology from the newly acquired Habana Labs. With all of...
by Karl Freund | Mar 20, 2020 | AI and Machine Learning, In the News
The CPU in today’s data center is increasingly burdened by the need to process networking jobs. According to Xilinx’s VP Marketing for Data Center Products, Donna Yasay, networking stacks can tax CPUs up to 30%, robbing them of the cycles needed to run users’...
by Karl Freund | Mar 20, 2020 | AI and Machine Learning, In the News
Last fall, as Cray was being acquired by Hewlett-Packard Enterprise for $1.6B, the company announced that it had been selected by the US DOE for two more exa-scale supercomputers based on the processor-agnostic Cray Shasta architecture. The Lawrence Livermore National...
