Cloud4Y provided Data center of Automatic equipment infrastructure with GPU

2020: Providing infrastructure with GPU

Cloud4Y announced on October 19, 2020 providing infrastructure to DATA CENTER Automatic equipment company with GPU.

The solutions developed by Data-Centrr Automatic Equipment company are used by high-speed algorithms of mathematical programming, discrete optimization and the graph theory in problems of optimization of production and also methods of machine learning on the basis of neural networks about use of GPU servers in the production tasks connected with machine vision. For this purpose the DATA CENTER Automatic equipment company together with Ural Federal University named after the first President of Russia B. N. Yeltsin created basic department "Analytics of Big Data and Methods of the Video Analysis" which staff and students take active part in the scientific and technical developments implemented in projects of DATA CENTER Automatic equipment company.

To increase productivity of a command and it was necessary to achieve increase in speed of creation and implementation of technological solutions of the company seriously to upgrade the available IT infrastructure. It meant not only considerable expenses on other "iron", but also involved increase in expenses on the employees who are engaged in maintenance of working capacity and hardware maintenance.

The cloud platform with a high computing power was alternative option. An opportunity to make "heavy" calculations, to work with artificial intelligence and neuronets was a key condition of the choice of cloud provider. Besides, it was crucial to guarantee high fault tolerance of the used infrastructure. After testing of platforms of the Russian providers positive conclusions were drawn on the level of service and compliance of virtual infrastructure of corporate cloud provider of Cloud4Y to needs of DATA CENTER Automatic equipment company.

The provider offers high-performance cloud servers with the graphic processor Nvidia Tesla especially for solving of tasks, the requiring increased computing powers. At the same time GPU servers cost cheaper uses of local infrastructure of integrator. The principle of payment after delivery of resource consumption allows to save on the equipment as there is no need to pay its "idle times".

Having placed several separate projects in Cloud4Y cloud, the system integrator received steadily working infrastructure which should not be serviced, configured and to upgrade regularly. Also representatives Data center of Automatic equipment were convinced that when using a cloud platform calculations are executed quicker, and it allows to give more time directly to work on the project and study of parts.