Building Your AI Data Pipeline: IBM Spectrum Storage for AI with NVIDIA DGX

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Companies adopting AI, Machine Learning, and Deep Learning need a strategic plan to grow their AI practice, drive data science productivity, and deliver AI business value.

IBM Spectrum Storage for AI with NVIDIA DGX is the essential foundation for an AI data pipeline. It is a converged solution of NVIDIA systems and IBM Spectrum Scale, the leading software-defined storage for AI and big data analytics.

In this webinar we will guide organizations from their first AI projects to a scalable data science practice using real-world case studies and test results.

Data scientists need access to large quantities of data that is readily accessible and supports the wide variety of data tools they use. High-performance, multi-protocol shared storage for the latest AI and data tools gives data teams faster access to more data with less complexity, lower costs, and higher reliability.

Learn to supercharge your AI data pipeline and drive data science productivity.

If you're already registered for the Building Your AI Data Pipeline: IBM Spectrum Storage for AI with NVIDIA DGX webcast, click below:



Douglas O’Flaherty

Product Marketing Manager, IBM Storage

Douglas came to IBM with a background that includes several start-ups, a few publicly traded companies and a handful of open source projects. His focus has been on introducing new technology into the marketplace, including x86-64, online game rentals, Linux, and parallel-NFS. An advocate of Lean methodologies, Douglas brings expertise with experience in cloud, product management, go-to-market strategy, product marketing, and enterprise software development. A graduate of Yale University in Physics and a former member of IASTE Local 1 and USA 829, he lives near Boston and hopes you don’t hold that against him. Douglas has lived on four continents; worked professionally in three. His only wish would be to speak fluently in something aside from English, but he still practices his Spanish whenever he can.

Tony Paikeday

Director, NVIDIA DGX Product Management

Tony Paikeday is the Director of Product Marketing for AI systems and data science platforms at NVIDIA, responsible for the go-to-market for NVIDIA’s DGX portfolio of AI supercomputers and NVIDIA’s accelerated machine learning platform for enterprise. Tony was previously with VMware, responsible for bringing desktop and application virtualization solutions to market, as well as key enabling technologies including GPU virtualization and software-defined data center. Prior to joining VMware, Tony was at Cisco, building its data center solutions. Prior to Cisco, he held business development roles working with enterprise and service provider accounts, after having started his career as a Manufacturing Engineer for Ford Motor Company. Tony holds an engineering degree from the University of Toronto.

Building Your AI Data Pipeline: IBM Spectrum Storage for AI with NVIDIA DGX
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