Skip to the content

RISHI RAJ S GERA

SVP Edtech Services, Magic Edtech

RISHI RAJ S GERA

SVP Edtech Services, Magic Edtech

  • Home
  • My Profile
    • Know your Consultant
    • Technical Skills
    • My Certifications
  • Expertise
    • Education Advisory Services
    • Digital Transformation
      • Platform Engineering
      • Digital Content – Micro Learning Instruction
  • Resources
    • News and Trends

Amazon SageMaker Automatic Model Tuning now reuses SageMaker Training instances to reduce start-up overheads by 20x

Advanced learning
    • By
    • No Comments on Amazon SageMaker Automatic Model Tuning now reuses SageMaker Training instances to reduce start-up overheads by 20x
    • August 24, 2022

Amazon SageMaker Automatic Model Tuning now reuses SageMaker Training instances to reduce start-up overheads by 20x

Amazon SageMaker Automatic Model Tuning now reduces the start-up time of each training job launched to tune your models by 20x on average (from 2.5 minutes to 8 seconds). In scenarios where you have a large number of hyperparameter evaluations, the reuse of training instances can cumulatively save 2 hours for every 50 sequential evaluations.

Share this:

  • Click to share on Twitter (Opens in new window)

Related

Leave a Reply Cancel reply

Follow Blog via Email

Enter your email address to follow this blog and receive notifications of new posts by email.

Generated by Feedzy
Back To Top