# @awseventschannel on YouTube

- **Type:** Video
- **Original URL:** https://youtube.com/watch?v=SqCVrAdKVbY
- **Gondola URL:** https://gondola.cc/posts/80064997-awseventschannel-youtube
- **Thumbnail:** https://img.gondola.cc/tr:w-,h-,fo-auto/postThumbnails/e10cb76ff6.jpg
- **Posted:** 2022-04-27T23:35:31.000+00:00
- **Account Owner:** AWS Events (@awseventschannel) — https://gondola.cc/awseventschannel

## Caption

This presentation covers:

  - Data pre-processing Bottlenecks: Problem, Challenge, Customer use-case
  - Best practices: Address CPU Bottlenecks to maximize GPU utilization
  -  Experiments Setup and Results: Offloading data pre-processing to GPU
  -  Identifying Bottlenecks: Leveraging Amazon SageMaker Debugger

  - Zooming into Training Job from the Experiment Results


Learn more at: https://go.aws/3rUXqyY
 
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ABOUT AWS
Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts.

AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

#SageMaker #ComputerVision #CV #Training #AmazonSageMaker #Debugger#CPUBottleneck #AWS #AmazonWebServices #CloudComputing

## Stats

- **Views:** 1,208
- **Likes:** 13
- **Shares:** 0
- **Comments:** 1

## Credits

No public credits are recorded here. This does not identify who made the post.

## Tags

debugger, training, aws, amazonsagemaker, cv, cloudcomputing, computervision, cpubottleneck, sagemaker, amazonwebservices

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