Overview
The Cloud and practical AI have evolved hand-in-hand over the last decade. Looking forward to the next decade, both of these technologies are moving toward increased democratization, enabling the broad majority of developers to gain access to the technology.
Serverless computing is a relatively new abstraction for democratizing the task of programming the cloud at scale. In this talk I will discuss the limitations of first-generation serverless computing from the major cloud vendors, and ongoing research at Berkeley's RISELab to push forward toward ""stateful"" serverless computing. In addition to system infrastructure, I will discuss and demonstrate applications including data science, model serving for machine learning, and cloud-bursted computing for robotics.
Session Overview
The State of Serverless and Applications to AI
-
1
The State of Serverless and Applications to AI
-
Abstract & Bio
-
Presentation Slides
-
The State of Serverless and Applications to AI
-