Latest machine learning publications
Innovation is central to data centre evolution. The focus, however, tends to be on the latest hardware products rather than maintenance.
But what about day-to-day maintenance and management—those “keeping the lights on” functions that can eat up 80 percent of IT spending? Can they be modernised, optimised, and enhanced with new technologies and approaches?
Nvidia and VMware today announced the launch of accelerated GPU services on VMware Cloud on AWS, forming an advanced hybrid cloud infrastructure for machine learning workloads.
The new services will allow organisations to migrate VMware vSphere-based applications and containers to VMware Cloud on AWS, VMware’s cloud service that runs on bare metal infrastructure in AWS data centres,
As of this summer, the fashion retailer is using machine learning to ensure it has the right stock, in the right place, at the right time. Techerati talked to eCommerce Expo speaker Simon Calvert about his role in helping the retailer intelligently pre-empt markdown.
The Wafer Scale Engine (WSE), designed to process AI applications, comes packed with 1.2 trillion transistors and measures 46,225m², making it 57 times the size of Nvidia’s flagship V100 data centre graphics card, which contains 21.1 billion transistors. While Samsung has previously built a flash memory chip with 2 trillion transistors, Cerebras’s chip stands out in that it’s built for processing.