Cluster for High-Voltage Systems
A great choice for those who value productivity and uninterrupted business operations
High-load projects include real-time-API modules, payment systems (Portmone, Visa), BigData systems, Artificial Intelligence, ERP, Business Analytics, etc.
When you need a cloud that can withstand high workloads:
UCLOUD cluster for high-load systems is based on AMD processors and NVMe disks. This combination of resources ensures maximum performance and efficiency.
AMD EPYC™:
PCIe 4.0 interface:
Adaptability
If performance problems occur, you can instantly increase the amount of available resources (CPU, memory, disk), optimize/eliminate bottlenecks and then quickly roll back the amount of resources to an acceptable level.
Flexibility
When users, base loading or calculations and computations increase, high-performance clusters provide better power.
Reliability
Disks, networks and hot-swap hardware are always a bottleneck in a perfectly stacked highlayer of systems. Ucloud uses NVMe-based storage and hot-swaps servers if some of them fail.
Management
At the design stage, it is necessary to architecturally lay down the basic patterns inherent in a loaded architecture. For example, data partitioning (partitioning of similar data between database nodes), etc. Ucloud specialists have great experience in designing IT systems architecture and will help you to identify and take into account the bottlenecks at an early stage.
Saving
Using a set of servers for high-load systems allows you to not lose time and money due to failure or stoppage.
Innovation
UCloud company was the first among Ukrainian operators to build a cloud data center based on AMD+NVMe. Microsoft, Google, AWS, PlayStation, Xbox and others are among the world examples of using the complex.
A cluster of highly loaded systems on AMD processors using NVMe storage system from UCloud will be useful for smooth and trouble-free operation:
UCloud is a silver partner of Microsoft, and also cooperates with Ukrainian (VOLZ) and European (Fiberax) companies to organize data transmission channels.
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