AWS Summit Sydney 2019

First Name

Last Name

Company Name

Country

US State

India State

Postal Code

Phone Number

Job Role

Industry

This information is associated with my:

I acknowledge that I have read and agree to the AWS Privacy Policy and AWS Event Code of Conduct.

Compliance Opt-in

By completing this form, I agree that I'd like to receive information from Amazon Web Services, Inc. and its affiliates related to AWS services, events and special offers, and my AWS needs by email and post. You may unsubscribe at any time by following the instructions in the communications received. Your information will be handled in accordance with the AWS Privacy Policy.

Thank you!

Error - something went wrong!

The Steady State: Reduce Spikiness from GPU Utilization with Apache MXNet (incubating)

Many practitioners of deep learning start from tailoring DL code from existing tutorials and examples on the Internet. These examples are often developed without optimisation of GPU utilisation in mind. In this session we provide attendees with simple steps of best coding practices in order to optimise their code to optimize GPU/CPU utilization for training and utilisation that significantly reduce cost of both training and inference using Apache MXNet and Amazon SageMaker.

Speaker:
Cyrus Vahid, Principal Evangelist AI MXNet, Amazon Web Services

View slideshare »

Resource:

Apache MXNet on AWS

Previous Video

Next-Gen Data Lakes and Analytics Platforms

Your business needs the best insights in the hands of decision makers -- executives, business users, analys...

Next Video

Running Geospacial Workloads On AWS

Geospatial shares the opportunities and the challenges of both high performance computing and big data. Wit...

The Steady State: Reduce Spikiness from GPU Utilization with Apache MXNet (incubating)

Previous Video

Next Video

Other content in this Stream

Organisations are increasingly gaining insight and knowledge from a number of IoT, API, clickstream, unstructured, and log data sources. Learn how AWS Glue makes it easy to build and manage enterprise

Most companies are overrun with data, yet they lack the critical insights to make timely and accurate business decisions. Organisations leveraging data insights and predictive analytics are consistent

How do you design a high performance and scalable database for a global e-commerce application or build a datastore to power a high volume recommendations engine or ingest and query millions of timese

Explore the various options for streaming data on AWS, such as Amazon Kinesis and Amazon Managed Streaming for Kafka, and the various options for processing streams of data such as Apache Spark, Apac

Learn about the enhancements that we have made to Amazon Redshift, including features around performance, scalability and cluster management.

Your business needs the best insights in the hands of decision makers -- executives, business users, analysts, data scientists. Traditional approaches to extracting, preparing, staging, securing, and

Geospatial shares the opportunities and the challenges of both high performance computing and big data. With applications from visualising IoT data through to ingesting drone footage, it brings with i

No code required! If you don't include SQL. Come and learn more about Amazon Lake Formation and get an understanding of how this service helps you to create a best practice modern data platform, assis

Learn how our customers are using the breadth and depth of the artificial intelligence and machine learning offerings on AWS to create new business models and optimise existing processes. Whether you'