Case Study

DAIDO STEEL ACCELERATES ITS MATERIALS DEVELOPMENT PROCESS USING MACHINE LEARNING

DAIDO STEEL ACCELERATES ITS MATERIALS DEVELOPMENT PROCESS USING MACHINE LEARNING

Check if the document is available in the language of your choice. DAIDO STEEL ACCELERATES ITS MATERIALS DEVELOPMENT PROCESS USING MACHINE LEARNING Daido Steel’s Corporate R & D Center built a deep learning development environment with HPE Industry Iron and steel Objective Promote the use of materials informatics in making specialty steel and magnetic materials, to speed up the development process and standardize inspections so production yields can increase Approach Build an integrated deep learning development environment using container technology to speed up setup time, simplify GPU resource allocation, and reduce researchers’ workload so they can prioritize development activities IT matters • Integrates a deep learning development environment using the HPE Apollo 6500 G

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