AI/ML Infra Meetup | Maximizing GPU Efficiency : Optimizing Model Training with GPUs Anywhere
August 30, 2024
By 
Bin Fan

In the rapidly evolving landscape of AI and machine learning, infra teams face critical challenges in managing large-scale data for AI. Performance bottlenecks, cost inefficiencies, and management complexities pose significant challenges for AI platform teams supporting large-scale model training and serving.

In this talk, Bin Fan will discuss the challenges of I/O stalls that lead to suboptimal GPU utilization during model training. He will present a reference architecture for running PyTorch jobs with Alluxio in cloud environments, demonstrating how this approach can significantly enhance GPU efficiency.

What you will learn:

  • How to identify GPU utilization and I/O-related performance bottlenecks in model training
  • Leverage GPU anywhere to maximize resource utilization
  • Best practices for monitoring and optimizing GPU usage across training and serving pipelines

In the rapidly evolving landscape of AI and machine learning, infra teams face critical challenges in managing large-scale data for AI. Performance bottlenecks, cost inefficiencies, and management complexities pose significant challenges for AI platform teams supporting large-scale model training and serving.

In this talk, Bin Fan will discuss the challenges of I/O stalls that lead to suboptimal GPU utilization during model training. He will present a reference architecture for running PyTorch jobs with Alluxio in cloud environments, demonstrating how this approach can significantly enhance GPU efficiency.

What you will learn:

  • How to identify GPU utilization and I/O-related performance bottlenecks in model training
  • Leverage GPU anywhere to maximize resource utilization
  • Best practices for monitoring and optimizing GPU usage across training and serving pipelines

Video:

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Videos

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