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.