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AWS published a new guide to optimize model training on SageMaker AI using NVIDIA Blackwell architecture, enabling MENA enterprises to train large models (up to 64B parameters) faster and at lower cost.

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Optimize Model Training on Amazon SageMaker AI with NVIDIA Blackwell

Overview

FAQ

What is NVIDIA Blackwell in SageMaker AI?

It is NVIDIA's new architecture supported by P6-B200 instances in SageMaker AI, offering expanded memory and higher performance for large model training.

How to optimize model training on SageMaker AI with Blackwell?

By selecting appropriate batch sizes, using low-precision formats like FP8, and applying activation checkpointing to reduce memory consumption.

Does SageMaker AI support 64B parameter models?

Yes, models up to 64 billion parameters can be trained on P6-B200 instances using the optimization techniques mentioned.

What is the benefit for MENA enterprises?

Faster training of large models with lower costs, enabling organizations to develop advanced AI applications locally.

Source: AWS Machine Learning

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