Distributed Data Parallel Explained Lesson 10

Summary

Why does a 70B parameter LLM run fine on a consumer rig, but crash an 80GB Nvidia H100 GPU before training even begins? Discover how DDP harnesses multiple GPUs across machines to handle larger models and datasets, accelerating the training ... In the second video of this series, Suraj Subramanian gently introduces you to what is happening under the hood when you train a ... As datasets and models grow in complexity, mastering In this video I will talk about how to use PyTorch/XLA's GSPMD to achieve Ever wonder how companies train models with billions of parameters without running out of GPU memory? In this video, we ... As machine learning architectures scale into the billions of parameters, a single GPU is no longer enough. In this video, we dive ... Part 2 of 5 in the “5 Essential LLM Optimization Techiniques” series. Link to the 5 techiniques roadmap: ... This is an intermediate video for using the SambaNova system. This video discusses how to use In the first video of this series, Suraj Subramanian breaks down why In this talk, software engineer Pritam Damania covers several improvements in PyTorch