A GPU-accelerated data center is a key competitive advantage, NVIDIA’s Jim McHugh will tell attendees at Gartner’s Data Center, Infrastructure, & Operations Management Conference, in Las Vegas next week.
McHugh, who serves as VP and GM of Enterprise Products, will explain how GPUs can accelerate data processing and analysis by 10-100x over traditional compute and visualize 100x more data with 40x less infrastructure.
These capabilities are key to speeding up your business, and taking advantage of the GPU-driven AI boom that is remaking fields such as financial services, information technology, manufacturing, retail, government, and healthcare.
While these applications have roots in high performance computing — where GPUs have long accelerated research performed on some of the world’s fastest and most efficient supercomputers — they’re quickly becoming mainstream.
Over the past few months, it’s become clear we’ve reached a tipping point. Google, Microsoft, and Amazon have turned on web services that harness GPU-accelerated computing so that enterprises can dip into whenever they need it. And some of the world’s biggest companies are embracing GPUs — and AI — to help turn big data into business insights. For example:
- Enterprise software giant SAP is now using GPU-powered DGX-1 AI supercomputers at its German and Israeli offices, where its teams are building machine learning solutions for SAP’s 320,000 customers.
- Japanese industrial robotics giant FANUC Corporation is using GPUs to increase robotics productivity and bring new capabilities to automated factories worldwide.
- TomTom, the Dutch mapping and navigation group, is using AI to create a cloud-to-car mapping system for self-driving cars.
And the list goes on.
Enterprise adoption is driven, in part, by a host of new apps from firms such as Graphistry, Kinetica, and MapD that bring GPU-accelerated computing to some of the world’s toughest business problems. More are coming.
To learn more, don’t miss Jim’s talk, Tuesday, December 6 at 11:15 a.m. in Titan 2304, level 2, if you’re at this week’s Gartner conference.
And whether or not you’re at the conference, follow us on our new Twitter handle @NVIDIADC — formerly @NvidiaTesla — for our latest data center news. As GPUs become more prevalent across enterprise and HPC data centers, NVIDIA’s new Twitter channel will cover a broad range of Data Center news.
Image: Patrick Pelster, some rights reserved.
The post Catch Us at Gartner’s Data Center Conference Next Week appeared first on The Official NVIDIA Blog.
by Christina Olmsted via The Official NVIDIA Blog
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