GPUs Seen Lifting SQL Analytic Constraints

GPUs Seen Lifting SQL Analytic Constraints

Alex Woodie

GPU_Orange

Big data analytics has traditionally been about developing cutting-edge software to run on commodity hardware. But there are signs that innovation at the hardware layer, such as with GPUs, can take analytics to the next stage, and maybe eliminate bottlenecks slowing SQL-based analytics.

Organizations that are tired of waiting for big SQL analytic jobs to complete may want to take a look at what GPUs can provide, NVidia (NASDAQ: NVDA) vice president and general manager Jim McHugh told Datanami at Strata + Hadoop World last week.

“They really hit a point where they’re frustrated with the data,” McHugh says. “When it takes 10 seconds to a do a query, and you have 10 or 15 queries going on—it just becomes time consuming and wearisome to go through that process.”

Nvidia used its booth in the Strata + Hadoop World Expo last week to showcase the new DGX-1, a new deep-learning supercomputer that it says is 250 times more powerful than a typical X86-based server. The company continually ran a live computer vision demo involving a GPU-based neural network that attempted to identify random objects, such as a car or an orange, placed before the camera. Attendees got a kick out of pointing the camera at other objects, such as Nvidia representatives or the ceiling, and seeing what the GPU would come up with.

While the DGX-1 brings a definite “wow” factor, Nividia is likely to get more heavy-duty analytic work out of the trusty Tesla K80, which is finding its way into more cloud services. Amazon (NASDAQ: AMZN) Web Services made some hay with its announcement this week that it’s offering public cloud services based on the Tesla K80 GPUs ahead of its rival Microsoft (NASDAQ: MSFT) Azure.

Thanks to a collection of analytic software companies building in GPU technology, those K80s (and possibly the DGX-1 in the future) are set to drive SQL workloads to new heights, McHugh says.

Read more…

GPUs Seen Lifting SQL Analytic Constraints

Big data analytics has traditionally been about developing cutting-edge software to run on commodity hardware. But there are signs that innovation at the hardware layer, such as with GPUs, can take analytics to the next stage, and maybe eliminate bottlenecks slowing SQL-based analytics.

 

 

 

The following two tabs change content below.

Eric Axelrod

President & Chief Architect at DIGR
I have helped companies bring new data driven products to market, drive efficiency out of their supply chain, execute strategic plans, and drive top line and bottom line growth by enabling every business function with actionable analytics. I can transform a business which is lacking critical insight into an agile, strategic, data driven organization.

Leave a Reply