Loading…
In-person
November 12-15
Learn More and Register to Attend

The Sched app allows you to build your schedule but is not a substitute for your event registration. You must be registered for KubeCon + CloudNativeCon North America 2024 to participate in the sessions. If you have not registered but would like to join us, please go to the event registration page to purchase a registration.

Please note: This schedule is automatically displayed in Mountain Standard Time (UTC -7). To see the schedule in your preferred timezone, please select from the drop-down menu to the right, above "Filter by Date." The schedule is subject to change and session seating is available on a first-come, first-served basis. 
Wednesday November 13, 2024 2:30pm - 3:05pm MST
As deep learning continues to evolve, the demand for handling petascale datasets efficiently becomes paramount. Current cloud storage solutions often struggle with the speed (throughput) and cost-effectiveness required for these massive datasets, particularly due to the random access needs of machine learning workloads. This talk introduces AIStore (AIS) as a fast-tier storage solution designed to overcome these challenges by offering a fast, scalable, cost-effective tier for deep learning data. AIS features linear scalability with each added storage node - in fact, with each added drive. In this presentation, we will explore the architecture and benefits of AIStore, focusing on its linear scalability and high performance. This session will feature detailed benchmarks and use cases comparing the performance of accessing cloud datasets with and without AIStore, highlighting AIS's ability to deliver high per-GPU throughput and stable latencies.
Speakers
avatar for Abhishek Gaikwad

Abhishek Gaikwad

Software Engineer, NVIDIA
Abhishek Gaikwad is a Software Engineer at NVIDIA with a Master of Science degree in Computer Science from San Jose State University. As a key developer and maintainer of AIStore, Abhishek has played a crucial role in its design, development, and management. His contributions include... Read More →
Wednesday November 13, 2024 2:30pm - 3:05pm MST
Salt Palace | Level 1 | Grand Ballroom A
  Data Processing + Storage

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

Share Modal

Share this link via

Or copy link