AI applications are increasingly dynamic and interactive and work in real time. These applications are being deployed not only to serve predictions using static models but also as tightly integrated components of feedback loops. Philipp Moritz and Robert Nishihara discuss the challenges that these applications pose for distributed systems and offer an overview of Ray, a new system designed to support these emerging applications.
Philipp Moritz is a PhD candidate in the electrical engineering and computer sciences (EECS) department at the University of California, Berkeley, with broad interests in artificial intelligence, machine learning, and distributed systems. He’s a member of the Statistical AI Lab and the RISELab.
Robert Nishihara is a fourth-year PhD student working in the University of California, Berkeley, RISELab with Michael Jordan. He works on machine learning, optimization, and artificial intelligence.
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