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Maintenance Care is a cloud-based, facilities maintenance management solution that helps organizations of all sizes manage work orders, assets, preventive maintenance tasks and more from any device. Maintenance Care includes a mobile CMMS to make task completion and tracking easier on-site or on the go. Maintenance Care’s CMMS (computerized maintenance management system) includes a host of powerful but easy-to-use features, including asset tracking, parts and inventory management, dashboards, reporting, document storage, third-party integrations and more. Preventive scheduling functionality helps users handle in-progress tasks and plan for bigger projects to address what work needs to be done and when. Additionally, document storage capabilities allow users to attach various forms, such as MSDS, training PDFs and safety documentation to tasks. The CMMS includes an asset management module that provides details related to purchase, manufacturing, technical specifications, warranty expiration and repair history on equipment. All paid plans include unlimited users — this means no extra cost per seat. Cost-effective paid plans include more robust features anyone can quickly learn and start using.

IONOS offers GPU Servers that deliver a high-performance computing framework aimed at managing tasks that demand significantly more power than standard CPU systems can provide. This infrastructure features top-tier NVIDIA GPUs, including the H100, H200, and L40s, in addition to specialized AI accelerators like Intel Gaudi, facilitating extensive parallel processing for demanding applications. By utilizing GPU-accelerated instances, the cloud infrastructure is enhanced with dedicated graphical processors, enabling virtual machines to execute intricate calculations and handle data-heavy tasks at a much faster rate compared to traditional servers. This solution is especially well-suited for fields such as artificial intelligence, deep learning, and data science, where training models on extensive datasets or executing rapid inference processes is necessary. Furthermore, it accommodates big data analytics, scientific simulations, and visualization tasks, including 3D rendering or modeling, that necessitate substantial computational capacity. As a result, organizations seeking to optimize their processing capabilities for complex workloads can greatly benefit from this advanced infrastructure.