- Sat, Nov 18, 2017 01:00 PM
Latitude: 40.4598, Longitude: -3.69065
This workshop is 100% online and targeted for our friends in Europe! Webinar instructions are at the bottom of this description. Title PipelineAI Distributed Spark ML + Tensorflow AI + GPU Workshop Note: A GPU-based cloud instance will be provided to each attendee as part of this event!! Time Start: 9am CEST Time End: 1pm CEST Time Highlights 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! Pre-requisites Just a modern browser, internet connection, and a good night's sleep! We'll provide the rest. Agenda Spark ML TensorFlow AI Storing and Serving Models with 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) TensorFlow's Accelerated Linear Algebra Framework (XLA) TensorFlow's Just-in-Time (JIT) Compiler, Ahead of Time (AOT) Compiler 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 Micro-services (NetflixOSS) More Info including GitHub and Docker Repos http://pipeline.ai Webinar Instructions At 8am CEST on the morning of this workshop, we will email the Webinar details to your email address registered with Eventbrite. If this email address is not up to date - or you do not get the email by 8am CEST - please email your Eventbrite confirmation to email@example.com and we'll send you the details.