In this week’s Voices of the Industry, Jeff Klaus General Manager of Intel Data Center Solutions, discusses an approach to data center health management .
Intel today unveiled FPGA-powered hardware targeting the artificial intelligence (AI) market, which has emerged as a focus of investment for the largest data center operators.
Enterprise cloud services are in more demand now than ever before. These services hold steady appeal for both companies that require support for on premise IT, as well as those who use fully external services. To learn more download this white paper.
A recent survey of 200 data center managers across the US and UK reveals that a large proportion of centers take a manual approach to planning and forecasting. Despite its limitations, MS Excel emerges as a popular tool and nearly one in ten resort to walking around a data center with a tape measure. Only just over half are able to benefit from using Data Center Infrastructure Management (DCIM) tools.
The Intel DCM solution provided us with real-time and historical data center thermal maps and cooling analysis. The analysis covered not only servers and racks from different OEMs but also storage, networks, and facilities equipment. We were able to detect hotspots and cooling anomalies and find ”ghost” (underused) servers. Because Intel DCM was easy to implement, integrate, administer, and operate, this solution provided significant ROI in a short amount of time.
As business evolves – can your data center keep up? Learn how to boost efficiency with a powerful data center management solution.
In this week’s Voice of the Industry, Jeff Klaus, Intel’s GM of Data Center Solutions benefits of ‘dogfooding,’ and how it is often the best method to improve a technology product quality and usability.
Intel’s acquisition of artificial intelligence startup Nervana arms the chipmaker with new software and hardware technologies as it seeks to gain more traction in the machine learning market.
Emerging technologies like the Internet of Things, virtual reality and machine learning will generate vast amounts of data, which will require additional data center capacity to store, according to panelists from our Executive Roundtable.
Our Executive Roundtable examines the data center industry’s track record on energy efficiency, assessing the progress thus far and laying out the strategies that can take efficiency to the next level.