AI/ML Infrastructure: Time-Slicing GPU Explained скачать в хорошем качестве

AI/ML Infrastructure: Time-Slicing GPU Explained

Discover how GPU time-slicing can revolutionize your AI infrastructure by optimizing resource usage and reducing costs. In this video, I'll break down what GPU time-slicing is, how it works, and why it's crucial for efficiently running multiple AI tasks on a single GPU. I'll also cover real-world examples, discuss the pros and cons, and explore which cloud providers support this technology. Perfect for anyone looking to scale AI workloads without overspending on hardware. Don't miss out on learning how to get the most out of your GPU investment! #nvidia #gpu #timeslice #ai #ml #infrastructure #cloudcomputing #cloudservices #costsavings #aws #azure #gcp #graviton 00:00 Introduction 00:52 What is GPU Time-Slicing? 02:33 Benefits of GPU Time-Slicing 02:43 Benefit: Maximized Resource Utilization 03:01 Benefit: Cost Savings 03:26 Benefit: Scalability and Flexibility 03:44 Pros&Cons of GPU Time-Slicing 03:54 Performance Overhead 04:12 Compatibility Issues 04:26 Resource Contention 04:47 Practical Example 06:01 Cloud Providers Supporting GPU Time-Slicing 06:54 Performance Impact and Mitigation Strategies 07:04 Scheduling Overhead 07:18 Workload Profiling 07:38 Monitoring and Adjustments 07:56 Summary