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Scaling seismic foundation models on AWS: Distributed training with Amazon SageM
BACKGROUND
1 SIGNALFIRST DETECTED 8 April 2026
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How the story developed
2 Apr
Scaling seismic foundation models on AWS: Distributed training with Amazon SageMaker HyperPod and expanding context windows
REPORT · WHAT · AWS Machine Learning Blog
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Other feeds and industry voices
14 Apr
Best practices to run inference on Amazon SageMaker HyperPod
This post explores how Amazon SageMaker HyperPod provides a comprehensive solution for inference workloads. We walk you through the platform’s key capabilities for dynamic
REPORT · HOW · AWS Machine Learning BlogOPEN STORY
25 Sept
Multi-Region training with Amazon SageMaker HyperPod and Qumulo
Amazon SageMaker HyperPod and Cloud Native Qumulo let you place training compute in one AWS Region while keeping your dataset in another. This post shares the architecture and
REPORT · WHERE · AWS Machine Learning BlogOPEN STORY
9 Sept
Deploying Qwen3.8-2.4T-A95B on Amazon SageMaker HyperPod with vLLM
Learn how to deploy Qwen3.8-2.4T-A95B, a 2.4-trillion-parameter open-weight model, on Amazon SageMaker HyperPod with vLLM. This walkthrough covers cluster provisioning, NVFP4
REPORT · HOW · AWS Machine Learning BlogOPEN STORY
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AWS Machine Learning Blog
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