{"id":1482,"date":"2020-03-11T10:54:40","date_gmt":"2020-03-11T10:54:40","guid":{"rendered":"https:\/\/wordpress.iqonic.design\/product\/wp\/qloud\/demo-2\/?page_id=1482"},"modified":"2023-10-12T11:17:23","modified_gmt":"2023-10-12T11:17:23","slug":"cloud-analytics","status":"publish","type":"page","link":"https:\/\/www.preciouscloud.eu\/?page_id=1482","title":{"rendered":"Cloud Analytics"},"content":{"rendered":"\t\t
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\n\t\t\tPRECIOUS HPC\t\t<\/h2>\n\t\t\t

The infrastructure provides both computing power through powerful processors (CPUs) and powerful graphics processors (GPUs), huge amount of RAM and massive hard disk storage capacity (order of Peta Bytes). The important aspect is that all parts as well as the infrastructure are highly scalable and upgradable while the existing 12 nodes allowing to quadruple (4x) the total processing power even without interrupting the operation of the infrastructure. The infrastructure provides all the tools to continuously monitored (from anywhere) while a logging system records both software and hardware events. The 12 nodes of the infrastructure are providing 1.26 THz (TeraHertz) computer power, 4.48TB (TeraByte) RAM and 211.86TB hard-disk storage, while there are 4 nodes which contain 2 graphics cards each one with 10752 CUDA (Compute Unified Device Architecture) cores for high-demand scientific computing applications. The GPU capabilities support demanding computations such as photorealistic graphics rendering and scientific Artificial Intelligent (AI) applications where machine learning applications are accelerated in deep-learning neural networks with tens of millions of parameters. The infrastructure has been designed and parameterized in such a way that even in the event of a failure of a node or hard drives, the applications and data are immediately functional through special protocols and the corresponding software. \nIn the sustainability plan for the high-performance cloud computing infrastructure Precious, state of the art technologies was considered aiming to reducing energy consumption, optimal resource management, promoting the use of renewable energy sources and maintaining the sustainability of the overall Precious infrastructure. All these actions contribute to achieving more sustainable and environmentally friendly solutions for the provision of cloud computing services in precision medicine applications. A comprehensive sustainability plan considers efficiency, renewable energy, recycling, and best practices for supercomputing infrastructure resource management. \n<\/p>\t<\/div>\n \t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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