Low AWS GPU usage? Achieve up to 95% GPU utilization in SageMaker with Hub

Star us on Like our dataset format for AI? Give us a ⭐ on GitHub.

- Solutions
  Agriculture
  Audio Processing
  Autonomous Vehicles & Robotics
  Biomedical & Healthcare
  Multimedia
  Safety & Security
  IntelinAir
  Case Study
  Learn more how Activeloop helped IntelinAir to process and generate datasets from millions acres of aerial imagery
  Company
  About
  Learn about the company, its members and its vision
  Help Center
  Get all of your questions answered by Contact Us
  Careers
  Build cool things that matter. From anywhere
  Docs
  Resources
  Blog
  Opinion pieces & technology articles
  Tutorials
  Learn how to use Activeloop stack
  Release Notes
  See what's new?
  News
  Track company's major milestones
  What is Deep Lake?
  Read the whitepaper & academic paper
  Pricing
Log in

Low AWS GPU usage? Achieve up to 95% GPU utilization in SageMaker with Hub

- Back
- - Blog
- - News
Low AWS GPU usage? Achieve up to 95% GPU utilization in SageMaker with Hub
Low GPU utilization is a crucial problem of ML workflows. We present the seamless integration of AWS SageMaker and Hub that enables you to train models 2x faster and achieve 95% GPU utilization while streaming data from S3 to AWS SageMaker.
- Davit Buniatyan
  on Dec 3, 202113 min read
- Share:

- Previous
- - - Blog
  - Data-centric AI enablers. Best data-centric MLOps tools in 2022
  - on Oct 18, 2021
- Next
- - - Tutorials
  - Weights & Biases and Hub - best practices for tasty classification models for computer vision
  - on May 19, 2021

Subscribe to our newsletter for more articles like this

Deep Lake. Data Lake for deep learning applications

Featured by