{"id":49889,"date":"2024-10-03T13:01:06","date_gmt":"2024-10-03T13:01:06","guid":{"rendered":"https:\/\/nag.com\/?post_type=case-studies&p=49889"},"modified":"2024-10-04T12:21:33","modified_gmt":"2024-10-04T12:21:33","slug":"migration-of-high-performance-computing-workloads-for-mahindra","status":"publish","type":"case-studies","link":"https:\/\/nag.com\/case-studies\/migration-of-high-performance-computing-workloads-for-mahindra\/","title":{"rendered":"Migration of High Performance Computing Workloads for Mahindra"},"content":{"rendered":"\n
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Migration of High Performance Computing Workloads for Mahindra<\/h1>\n \n

Case Study<\/p>\n<\/div>\n\n \n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/div>\n\n\n\n

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n<\/i><\/span>AG are renowned experts in High Performance Computing (HPC), providing experience in system architecture, implementation and engineering applications. This combination aligned perfectly to develop and build infrastructure to migrate Mahindra’s workloads to the Google Cloud Platform (GCP).<\/p>\n <\/div>\n <\/div>\n<\/div>\n\n\n

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The Challenge<\/h4>\n

Mahindra runs multiple on-premise HPC systems for complex engineering workloads, needed to design and verify their automotive products. As part of Mahindra’s digital strategy to move resources to Google Cloud, these HPC systems were to be consolidated using GCP compute, integrating their existing workflows, whilst ensuring a production-level environment.<\/p>\n <\/div>\n <\/div>\n<\/div>\n\n\n

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The Solution<\/h3>\n

Several HPC clusters were built within GCP Compute, making use of Open Front End and Cluster Toolkit for creation and administration of the systems. Existing filesystems were also integrated into the environment, along with connection to application servers, and customisations made to system images and the environment, all as needed by the engineering teams.<\/p>\n <\/div>\n\n <\/div>\n

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The Result<\/h4>\n

Mahindra now have a production HPC capability to run their workloads in GCP, improving the engineering simulation turnaround, with the advantages of being able to scale their resources on-demand and make use new technology sooner. In addition, a test system environment was established, enabling trials of new software, configurations, etc., without affecting production workloads.<\/p>\n

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\u201cThe Open Front End (OFE) was a key objective of our HPC transformation to Cloud as it allows us to manage our cluster(s) from an intuitive portal and enables us to scale and provision our cluster quickly. n<\/i><\/span>AG worked with Mahindra and GCP to enable OFE for us, add customizations, provide key interventions & knowledge transfer so we can be self-sufficient & derive the expected benefits from our HPC.\u201d<\/strong><\/p>\n<\/blockquote>\n

Gaurav Sarda, Business Engagement & Adoption Lead – Cloud, Mahindra<\/p>\n

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<\/div>\n\n \n HPC and Cloud Services <\/i><\/a>Virtual Supercomputer Managed Service <\/i><\/a>Ask a Question <\/i><\/a> <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

n<\/i><\/span>AG worked with Mahindra and Google Cloud to enable the OpenFrontEnd Toolkit, adding customizations, providing key interventions and knowledge transfer to optimize Mahindra’s HPC. <\/p>\n","protected":false},"author":8,"featured_media":4435,"parent":0,"menu_order":0,"template":"","meta":{"content-type":"","footnotes":""},"post-tag":[73,17,106,43,105],"class_list":["post-49889","case-studies","type-case-studies","status-publish","has-post-thumbnail","hentry"],"yoast_head":"\nMigration of High Performance Computing Workloads for Mahindra - nAG<\/title>\n<meta name=\"description\" content=\"NAG worked with Mahindra and Google Cloud to enable the OpenFrontEnd Toolkit, adding customizations, providing key interventions and knowledge transfer to optimize Mahindra's HPC.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/nag.com\/case-studies\/migration-of-high-performance-computing-workloads-for-mahindra\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Migration of High Performance Computing Workloads for Mahindra - 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