End to End Application Life Cycle Management of Deep Learning

Developing and Deploying AI/Deep Learning applications is challenging and time consuming. GPU infrastructure must be managed, software must be installed, maintained, and updated, and orchestration and automation technologies must be implemented. This talk gives an overview of the end to end application life cycle of deep learning in the enterprise from the perspective of the data scientist as well as the IT operator. At Bitfusion, we’ve developed a software management solution to make the delivery of artificial intelligence (AI) applications faster and more economical, which we will be talking about and demoing