“We are at an inflection point in the big data era,” said Bob Picciano, senior vice president, IBM Analytics. “We know that users spend up to 80 percent of their time on data preparation, no matter the task, even when they are applying the most sophisticated AI. Project DataWorks helps transform this challenge by bringing together all data sources on one common platform, enabling users to get the data ready for insight and action, faster than ever before.”
In this video from GTC 2016 in Taiwan, Nvidia CEO Jen-Hsun Huang unveils technology that will accelerate the deep learning revolution that is sweeping across industries. “AI computing will let us create machines that can learn and behave as humans do. It’s the reason why we believe this is the beginning of the age of AI.”
“EXAScaler 3.0 raises the bar for Lustre performance and management,” said Laura Shepard, senior director of products and vertical markets, DDN. “As the world’s most experienced Lustre provider, DDN leverages input from a broad installed base and the Lustre community to deliver the most advanced Lustre solutions to our customers around the globe.”
Based on the “Barreleye” platform design pioneered by Rackspace and promoted by the OpenPOWER Foundation and the Open Compute Project (OCP) Foundation, Penguin Magna 1015 targets memory and I/O intensive workloads, including high density virtualization and data analytics. The Magna 1015 system uses the Open Rack physical infrastructure defined by the OCP Foundation and adopted by the largest hyperscale data centers, providing operational cost savings from the shared power infrastructure and improved serviceability.
Nvidia’s GPU platforms have been widely used on the training side of the Deep Learning equation for some time now. Today the company announced a new Pascal-based GPU tailor-made for the inferencing side of Deep Learning workloads. “With the Tesla P100 and now Tesla P4 and P40, NVIDIA offers the only end-to-end deep learning platform for the data center, unlocking the enormous power of AI for a broad range of industries,” said Ian Buck, general manager of accelerated computing at NVIDIA.”
Humans are very good at visual pattern recognition especially when it comes to facial features and graphic symbols and identifying a specific person or associating a specific symbol with an associated meaning. It is in these kinds of scenarios where deep learning systems excel. Clearly identifying each new person or symbol is more efficiently achieved by a training methodology than by needing to reprogram a conventional computer or explicitly update database entries.
“Nimbis was founded in 2008 by HPC industry veterans Robert Graybill and Brian Schott to act as the first nationwide brokerage clearinghouse for a broad spectrum of integrated cloud-based HPC platforms and applications. Our fully integrated online Technical Computing Marketplace comprises several stores hosting modeling and simulation applications on HPC platforms in the cloud.”
“Aligning ourselves with an organization like Microsoft further supports our mission of enabling companies to manage their application workloads whether on-premise or in a hybrid or cloud context like Microsoft Azure,” said Gary Tyreman, CEO, Univa. “Univa is working hard to bridge the gap from traditional IT environments to the new hybrid world by helping enterprises reduce complexity and run workloads more efficiently in the cloud.”
Hailing from Norway, big-memory appliance maker Numascale has been a fixture at the ISC conference since the company’s formation in 2008. At ISC 2016, Numascale was noticeably absent from the show and the word on the street was that the company was retooling their NumaConnect™ technology around NVMe. To learn more, we caught up with Einar Rustad, Numascale’s CTO.