Network and communication infrastructures are core components of artificial intelligence and high-performance workloads as much as they are of modern IT systems. ORBISIS treats network solutions not just as structures that connect users to each other, but as a critical architectural layer that ensures the efficient operation of data, processing power, and artificial intelligence systems.
In systems requiring artificial intelligence, big data, and intensive computation; low latency, high bandwidth, and stable connections are of critical importance. Therefore, network infrastructures are designed with an end-to-end architectural approach, considering intra-data center, extra-data center, and branch connections together.
Network Infrastructures for Artificial Intelligence and High-Performance Systems
ORBISIS plans the network infrastructures needed by artificial intelligence platforms with the principles of high-speed backbone, low latency, and scalable connectivity. For GPU-based systems, data platforms, and distributed artificial intelligence architectures, network design is treated as a direct determinant of performance.
In this context; network structures that will support intensive data traffic are created with intra-data center high-bandwidth connections, server–server, and server–storage communication.
WAN, SD-WAN, and Secure Communication Approach
With the proliferation of artificial intelligence and cloud-based applications, communication between the center–branch and remote locations has become more critical. ORBISIS enables customers to provide secure, flexible, and centrally manageable access to systems in different locations with WAN and SD-WAN solutions.
Thanks to SD-WAN architectures; different connection types can be used together, application prioritization can be performed, and network performance can be monitored centrally. This structure specifically supports the stable operation of cloud, hybrid, and artificial intelligence-based systems.
The ORBISIS Approach
ORBISIS offers a different perspective on network and communication infrastructures. Our goal is to create not just networks that establish connections, but communication infrastructures that are shaped according to the needs of artificial intelligence, data, and applications, directly affecting performance. The established network structures are designed to be manageable, sustainable, and ready for future workloads.