Fast time to deployment and high performance are critical for AI, ML and data analytics workloads in an enterprise. But IT leaders find that graduating from proof of concept to production AI at scale is notoriously difficult.

With a transformative production AI platform, enterprises can streamline their AI infrastructure, eliminate complexity, reduce silos and simplify AI deployments to achieve scale, repeatability, surety and security. In this VB Spotlight event, you’ll hear how by combining both hardware and software, and accelerated compute infrastructure, Supermicro and NVIDIA together provide an end-to-end AI platform – delivering the compute power, tools and support that enterprises need to focus on creating AI business value and more.

Watch free on-demand!

  • Why time to AI business value is today's differentiator
  • Challenges in deploying AI production/AI at scale
  • Why disparate hardware and software solutions create problems
  • New innovations in complete end-to-end production AI solutions
  • An under-the-hood look at the NVIDIA AI Enterprise platform
Anne Hecht
Sr. Director, Product Marketing, Enterprise Computing Group, NVIDIA
Anne Hecht is the senior director of product marketing for enterprise software products at NVIDIA, including the NVIDIA AI Enterprise software suite and virtual client computing solutions such as the NVIDIA RTX Virtual Workstation. Previously, she held senior positions in product marketing, solutions marketing, and corporate marketing at enterprise technology firms Sun Microsystems, NComputing, ForgeRock, and Agari. Anne has an M.B.A. from the Wharton School of Business at the University of Pennsylvania and a bachelor’s degree from the University of Pennsylvania.

Erik Grundstrom
Director, FAE, Supermicro
Erik Grundstrom engages with Supermicro customers primarily in visualization and HPC. Not limited by vertical or workload, Erik is a performance enthusiast that utilizes the depth of the Supermicro portfolio to provide optimal solutions and user experience. Erik’s first GPU compute project was deployment of the Tesseract OCR engine in 2005 using GeForce 6800 Ultra and Supermicro P4SPA+ converting paper documents into indexed data for a law practice.
Joe Maglitta
Senior Director & Editor, VentureBeat (moderator)
Joe is an award-winning journalist with more than three decades of experience, specializing in leading-edge enterprise technology. He has served in senior editorial and event roles at top B2B media companies, agencies and research firms, and consulted on content and strategy with leading industry vendors. He holds a BA in Journalistic Studies from the University of Massachusetts Amherst and has done graduate coursework in Advanced Communications Writing (Boston University), Technical Writing and Editing (Northeastern University) and Philosophy (St. John’s, Boston College).
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