Sep 9–12, 2019
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Jonathan Peck
Technical Advocate, GitHub
A full-stack developer with two decades of industry experience, Jon Peck constantly strives to make technical concepts digestible — demonstrating the value of new technology at every level, from developers through execs.
Former speaker at DeveloperWeek, OSCON, AI Next, O’Reilly AI, ODSC, API World. Former developer/advocate at Mass General Hospital, Cornell University, Algorithmia. Current technical advocate at GitHub.
Sessions
4:50pm–5:30pm Thursday, September 12, 2019
Location: 230 B
Secondary topics:
Machine Learning
Jonathan Peck (GitHub)
Average rating:
(5.00, 1 rating)
ML has been advancing rapidly, but only a few contributors focus on the infrastructure and scaling challenges that come with it. Jonathan Peck explores why ML is a natural fit for serverless computing, a general architecture for scalable ML, and common issues when implementing on-demand scaling over GPU clusters, providing general solutions and a vision for the future of cloud-based ML.
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