Autonomous Vehicles

ZeroStack uses machine learning to create self-driving clouds


There is so much data growth today that businesses have to invest in both public clouds and private data centers, hence the high adoption rate of "hybrid" environments. Turnkey private clouds are becoming increasingly popular because they give businesses an Amazon-like experience but in a private cloud model, so the data and infrastructure stays in the company data center. ZeroStack 3.0 will use the AI capabilities to build cloud optimization capabilities that can determine the best cloud to run specific workloads based on cost and performance. As the complexity of data centers continues to increase and the business demands become more challenging to meet, ZeroStack's AI-driven approach will become a key requirement of running a private cloud.

Nvidia releases Pascal GPUs for neural networks


Compared to using an Intel Xeon E5-2690v4, which was launched earlier this year, Nvidia claimed its offering is 40 times more power efficient while being 45 times faster to respond. "A single server with a single Tesla P4 replaces 13 CPU-only servers for video inferencing workloads, delivering over 8x savings in total cost of ownership, including server and power costs," the company boasted. "Most customers will tell you that a GPU becomes a one-off environment that they need to code and program against, whereas they are running millions of Xeons in their datacentre, and the more they can use single instruction set, single operating system, single operating environment for all of their workloads, the better the performance of lower total cost of operation," she said. Nvidia today also announced its Drive PX 2 platform that is set to be deployed by Baidu in its self-driving car.