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Post by asa on Oct 21, 2023 10:30:16 GMT
Since we are talking about large amounts of information, complex models, tools ready and ready for distributed team work, data scientists need resources that are flexible, scalable and affordable. Cloud providers have created platforms for data scientists to focus on preparing and launching machine learning models and further collaborating with them. So far, there are few such solutions, one of which was created entirely in Russia. At the end of the year, Jingshu Cloud launched a full-cycle cloud platform for service development and implementation. The platform includes a set of tools and resources for creating, training, and moible number data deploying machine learning models, from quickly connecting to data sources to automatically deploying trained models on dynamically scalable cloud resources. Now is the only cloud service in the world that allows you to organize distributed training on multiple. This opportunity is provided by its own cloud supercomputer. At Launched in 2009, it is now the most powerful computing cluster in Russia, ranking No. 1 in the world's supercomputer rankings. The platform is already used by ecosystem development teams. It was with her help that Several different (automatic speech recognition) models and a large number of text-to-speech models were used and trained to create them. Now available for any commercial user, educational and scientific organization. It is a real technological breakthrough in the field of artificial intelligence.
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