5 Lessons for Improving Training Performance

Event
5 Lessons for Improving Training Performance

Learn the best practices for performance analytics and maintenance of a deep learning system. As GPU technology continues to advance, the demand for faster data continues to grow. In deep learning, input pipelines are responsible for a complex chain of actions that ultimately feed data into GPU memory, including reading from storage and pre-processing data. These pipelines bring together multiple hardware systems—networking, CPUs, and storage—along with sophisticated software systems to drive the data movement and transformation.
 

Key takeaways

– AI is a data Pipeline

– Don’t throw your data into Data Lake

– Cloud or not to cloud?
 

Date and time

22/10, 09:30-10:30

 

Go to the webinar

PAS_Event_Johnny.jpg

About Johnny Dahlberg

Unstructured data specialist covering Nordic region and based in Sweden at Pure Storage, focused on AI (DL/ML), streaming and modern analytics, life science rapid data restore, etc… Working as a practitioner of data architecting, with designing, deploying and helping organisations to manage their data architecture. +28 years’ experience in IT industry (manufacturing side), last 23 year with Storage (SAN & NAS) and infrastructure performance management. Primary focus is technical presales on All Flash based storage solutions and spokesperson (evangelist).

PAS_karusell_hero.jpg

Storage Service for Every Data Center, Every Workload

Get storage as a service (STaas) for on-premises and public cloud from the company that unifies hybrid clouds with a single subscription.

Read more