AWS Summit Sydney 2019

First Name
Last Name
Company Name
CDN Province
US State
India State
AU State
Postal Code
Phone Number
Job Role
This information is associated with my:
Compliance Opt-in
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.

Cyrus Vahid, Principal Evangelist AI MXNet, Amazon Web Services

View slideshare »


Previous Video
Next-Gen Data Lakes and Analytics Platforms
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
Running Geospacial Workloads On AWS

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