NVIDIA-Powered Data Science Workstations

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Presented by

Kyle Harper, AI Strategy Director | Dell Technologies

About this talk

Join us discussing and demonstrating real world AI, Machine Learning, and Deep Learning changing our world right now, not in some distant future, and hear why Dell Data Science Workstation was selected to power those solutions. We’ll show videos of real world, real time facial recognition, object recognition, video de-noising, plus AI combined with Dell’s AR/VR solutions used in hospitals, operating rooms, places of work, smart cities, public safety/first response. We’ll wrap up with the latest details and performance of the Dell Data Science Workstation solutions – they come Ready on Day One to go to work. While almost every AI solution will eventually be put into production in the cloud or on a server, many organizations begin the development of their AI solutions on workstations for a wide range of reasons. This session will explore what a workstation is vs a standard PC, and how those workstation characteristics assist with AI solution development. We’ll explore why workstations provide advantages for AI development vs. the Cloud, or servers. We’ll explore mapping workstation characteristics and configurations to a variety of AI workloads The Dell Data Science Workstation is ready for AI work the same day it arrives. It shreds through your Data Prep and Model Training iterations orders of magnitude faster. Hours of iteration time reduce to minutes or seconds. Days reduce to hours. Imagine the greater insights you’ll now extract from your data, whether you are infusing AI into healthcare, business & finance, security, energy, media & entertainment, or manufacturing & engineering. Come join us to hear what Dell, Nvidia and Canonical are collaborating on for Dell Data Science Workstation to get you data scientists and IT managers more productive and stress-free. These are solutions that can still be roll-your-own, but are enterprise-built and enterprise supported.

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