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Scaling seismic foundation models on AWS: Distributed training with Amazon SageMaker HyperPod and expanding context windows

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Chimera Difficulty Score
a synthesis of Flesch-Kincaid, Coleman-Liau, SMOG, and Dale-Chall readability metrics
Artificial Intelligence Scaling seismic foundation models on AWS: Distributed training with Amazon SageMaker HyperPod and expanding context windows This post is cowritten with Altay Sansal and Alejandro Valenciano from TGS. TGS, a geoscience data provider for the energy sector, supports companies’ exploration and production workflows with advanced seismic foundation models (SFMs). These models ana...
The partnership between TGS and AWS focuses on enhancing the efficiency and capabilities of Subsurface Flow Model training using advanced AI techniques. The collaboration emphasizes data pipeline optimization, incremental validation, and the application of context parallelism to 3D volumetric data. This project demonstrates the potential for applying AI technologies to specialized scientific domains such as subsurface analysis in the energy sector. Patterns detected: none Root Cause: The partner...