Online Workshop: PipelineAI Distributed Tensorflow AI + GPU + Model Serving

Apr 22, 2017 · Brooklyn, United States of America

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PipelineAI Distributed Tensorflow AI + GPU Workshop

*A GPU-based cloud instance will be provided to each attendee as part of this event


We will each build an end-to-end, continuous Tensorflow AI model training and deployment pipeline on our own GPU-based cloud instance.

At the end, we will combine our cloud instances to create the LARGEST Distributed Tensorflow AI Training and Serving Cluster in the WORLD!


Tensorflow and Hadoop Integration (HDFS)

Trade-offs of CPU vs. *GPU, Scale Up vs. Scale Out

CUDA + cuDNN GPU Development Overview

Tensorflow Model Checkpointing, Saving, Exporting, and Importing

Distributed Tensorflow AI Model Training (Distributed Tensorflow)

Centralized Logging and Visualizing of Distributed Tensorflow Training (Tensorboard)

Distributed Tensorflow AI Model Serving/Predicting (Tensorflow Serving)

Centralized Logging and Metrics Collection (Prometheus, Grafana)

Continuous Tensorflow AI Model Deployment (Tensorflow, Airflow)

Hybrid Cross-Cloud and On-Premise Deployments (Kubernetes)

High-Performance and Fault-Tolerant Microsservices using Request Batching and Circuit Breakers (NetflixOSS)

Github Repo

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