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.

Subbu likes building things. He is the founder and CEO of Bitfusion. Subbu has a computer engineering degree from University of Wisconsin Madison, and previously has held engineering + leadership roles in hardware and software divisions, building CPUs, GPU micro-servers, SoCs and cloud infrastructures, at companies like Intel and Dell.