We implement solutions for High Performance Computing, Big Data, AI and CAE calculations.
Our IT solutions reduce the time and cost of sample development.
You have access to a portfolio of HPC solutions, from graphics workstations and CAE computing to concurrent storage, big data infrastructure, artificial intelligence (AI) and cloud computing.
With new powerful HPC solution, you can reduce latency and eliminate performance degradation. We digitalize your business and implement Industry 4.0 IT solutions.
Instead of expensive physical samples, we use computer simulations. This allows reduction of the time required to bring new developments to the market.
More powerful platform enables faster and more accurate complex mathematical calculations and analysis. Visualization helps to identify errors and direct the experiment.
With new powerful HPC solution, you can reduce latency and eliminate performance degradation. We digitalize your business and implement Industry 4.0 IT solutions.
Instead of expensive physical samples, we use computer simulations. This allows reduction of the time required to bring new developments to the market.
More powerful platform enables faster and more accurate complex mathematical calculations and analysis. Visualization helps to identify errors and direct the experiment.
CROC's IT solutions are relevant for CIOs, as well as heads of research laboratories and executives responsible for digital business transformation. Our clusters let you reduce the computation time in your company.
This solution allows solving small and simple tasks in the field of geophysical and CAE calculations, while minimizing costs. We implement one or two processors, a large amount of RAM, professional video cards NVIDIA or AMD, a high performance disk subsystem built on fast SAS or SSD/NVMe disks. This streamlines work with the computational resources, you will also be able to monitor the progress of the calculation.
We render media data from computing resources to the workplace without transferring large amounts of information. Network users will only have a remote desktop. This reduces the computing power requirements of user workstations. Therefore, workplace equipment needs to be updated less frequently.
We introduce supercomputers in your company that are capable of simulating reality. They can be used to simulate manufacturing conditions and help develop better products for industries ranging from oil and gas to pharmaceuticals. By leveraging high performance computing, business cycle times can be improved.
We have designed a computational cluster for hydrodynamic modeling of oil fields, as well as developed and installed engineering systems for the server room.
Our team was asked to improve the quality of the modeling. This allows anticipation and minimization of the risks arising at various stages of the organization's activities.
After analyzing the company's work, we created a solution based on HPE blade servers. They allowed the organization to easily increase the number of computing nodes and increase the manageability of the computing system.
Using the new system, the company will be able to reduce the simulation time without compromising quality. This will allow them to allocate resources, taking into account the priority of tasks, as well as to form a centralized storage and protection of information.
Computing infrastructure
It allows the company to work with more complex calculations like combustion in combustion chambers, coupled heat exchange of turbine rotor blades, and acoustics calculations.
Computing infrastructure
Created the basis for the data center of the Perm Engine-Building Complex. It allowed an increase of the speed and quality of calculations during the manufacturing of new products.
Computing infrastructure
The company has reduced the computation time and has become one of the most high-performance systems for processing seismic exploration data in Russia.
Computing infrastructure
Using the new system, the university upgraded the university cluster from 0.3 to 14 teraflops. It increased the efficiency of processing and storing research results.