AI Distributed Training Configure and run a distributed training workload
Learn More
Hands-on Learning
Learn at your own pace
Self-paced
About this lab Distributed training for AI workloads benefits compute and time-intensive processes by sharing the work across additional servers or nodes. In this lab, you will configure and run a distributed training workload to increase the speed of training the AI.
Instructors: Joanna Hoang
This lab includes: 9 mins of studio-quality videos Lesson plan 3 Lessons 9 Mins
Expand all sections 1. Intro: AI Distributed Training 2 Mins
2. Environment Overview: AI Distributed Training 1 Min
3. AI Distributed Training Lab 7 Mins
Data Protocol docs from this course Frequently Asked Questions Expand all sections
Why do I have to sign up?
Who does Data Protocol partner with and/or how are topics chosen?
Why can't I fast forward?
What are the Pre-filled Notes for?
Can I retake assessments if I don't pass?
What should I do if videos won't load or are buffering?
Not What You Needed? More like this Habana
Utilize the power of the Habana Gaudi processor
Your privacy matters.
By clicking "Accept All", you are agreeing to Data Protocol's Cookie Policy .
Necessary Only Accept All