AI End to End Optimization Learn how to optimize a workload on AI end to end
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Hands-on Learning
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Self-paced
About this lab In this lab you will optimize a workload on AI end to end and learn how using the framework accelerations, optimizing the runtime parameters, multi-instance data parallel execution, and quantization for a given workload process can increase its overall throughput and efficiency on your cloud instance.
Instructors: Vrushabh Sanghavi
This lab includes: 9 mins of studio-quality videos Lesson plan 3 Lessons 9 Mins
Expand all sections 1. Intro: AI End to End Optimization 2 Mins
2. Environment Overview: AI E2E Optimization 1 Min
3. AI End to End Optimization Lab 7 Mins
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