Infrastructure Slowing Your AI Projects? Nuts & Bolts of AI-Ready Infrastructure
Jumpstarting AI projects is complex. From preparing datasets to learning new frameworks, data scientists have plenty to ramp up on. Yet, when they are ready to get started, they find their infrastructure to be cumbersome to use and unprepared for AI workloads. Servers and storage systems should accelerate AI projects, not slow them down. In this talk, we will discuss important facets of an infrastructure built for AI, and show performance results that can shorten model training cycle from days to hours.
Dave Logan has worked in the IT industry for 25 years, and was a 16 year NetApp veteran, working for them in a variety of technical, management, and leadership positions across 3 continents. Logan has extensive experience across MSB, Enterprise, Government, Global Accounts and Channel in a wide variety of roles across a broad portfolio of verticals including Government; Telecommunications and Service Providers; finance; EDA; Media and Entertainment; and Manufacturing. Logan also held leadership roles in Systems Engineering for Inside Sales, MidMarket, and Global Accounts.