Optimize model training on Amazon SageMaker AI with NVIDIA Blackwell | Amazon Web Services
Optimizing model training on Amazon SageMaker AI with NVIDIA Blackwell GPUs changes what’s practical for large AI models. If you train large models today, you are likely working around a familiar set of constraints: batch sizes limited by GPU memory, sequence lengths cut short to avoid out-of-memory errors, and model sharding that adds communication overhead as you scale. Blackwell’s expanded memory and new precision formats reduce those constraints directly. P6-B200 instances with 8 Blackwell GPUs are available on Amazon SageMaker AI Training jobs, and you can book the capacity using Flexible Training Plan with predictable access, cost management, and automated resource management. Amazon SageMaker AI training jobs let you train ML models at large scale by automatically provisioning and managing the underlying compute infrastructure and resources, so you can focus on your data and algorithms rather than infrastructure operations.
This post shows you how to configure training jobs on Amazon...
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