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Friday, August 31 • 11:50am - 12:30pm
Deploy and Use a Multi Framework Distributed Deep Learning Platform on Kubernetes - Animesh Singh & Tommy Li, IBM

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Training deep neural network models requires a highly tuned system with the right combination of software, drivers, compute, memory, network, and storage resources. Deep learning frameworks like TensorFlow, PyTorch, Caffe, Torch, Theano, and MXNet have contributed to the popularity of deep learning by reducing the effort and skill needed to design, train, and use deep learning models. Fabric for Deep Learning (FfDL, pronounced “fiddle”) provides a consistent way to run these deep learning frameworks as a service on Kubernetes. FfDL uses a microservices architecture to reduce coupling between components, keep each component simple and as stateless as possible, isolate component failures, and allow each component to be developed, tested, deployed, scaled, and upgraded independently.

Animesh Singh, and Tommy Li will share lessons learned while building and using FfDL and demonstrate how to leverage it to execute distributed deep learning training for models written using multiple frameworks, using GPUs and object storage constructs. They then explain how to take models from IBM’s Model Asset Exchange, train them using FfDL, and deploy them on Kubernetes for serving and inferencing.



Speakers
avatar for Tommy Li

Tommy Li

Senior Software Developer, IBM
Tommy Li is a senior software developer in IBM focusing on Cloud, Kubernetes, and Machine Learning. He is one of the Kubeflow committers and worked on various open-source projects related to Kubernetes, Microservice, and deep learning applications to provide advanced use cases on... Read More →
avatar for Animesh Singh

Animesh Singh

Executive Director, AI and ML Platform at LinkedIn, LinkedIn
Executive Director, AI and ML Platform at LinkedIn | Ex IBM Distinguished Engineer, CTO and Executive Director, Watson AI and Data Open Tech | Founder at Kubeflow | Ex LFAI Trusted AI NA Chair Executive Director, AI and ML Platform at LinkedIn. Leading the next generation AI and ML... Read More →


Friday August 31, 2018 11:50am - 12:30pm PDT
Room 116/117