Baidu Sheds Precision Without Paying Deep Learning Accuracy Cost
One of the reasons we have written so much about Chinese search and social web giant, Baidu, in the last few years is because they have openly described both the hardware and software steps to making deep learning efficient and high performance at scale.
In addition to providing several benchmarking efforts and GPU use cases, researchers at the company’s Silicon Valley AI Lab (SVAIL) have been at the forefront of eking power efficiency and performance out of new hardware by lowering precision. This is a trend that has kickstarted similar thinking in hardware usage in other areas, including supercomputing …
Baidu Sheds Precision Without Paying Deep Learning Accuracy Cost was written by Nicole Hemsoth at The Next Platform.
Thanks to all who joined us for the Dell EMC Webinar: SDN: The Foundation for Software-Defined Storage. During the webinar Dell EMC discussed benefits of software defined networking for SDS solutions. After the webinar, we took questions from the audience. Read the full SDN: The Foundation for Software-Defined Storage Q&A below. Does big switch work with...
The organization's move adds to the growing push for simplifying container deployments.


It supports AWS, Microsoft Azure, and VMware, with Google Cloud Platform coming in 2018.
They will help enterprises who want to automate services across multiple providers.