Edge servers are designed to process data closer to the source, at the periphery of a network, where data generation occurs. They optimize network traffic and enhance application performance by minimizing the amount of data sent to the cloud or data center. Edge servers are particularly useful in applications such as IoT, content delivery, and video streaming, where latency and response time are critical factors.

With us as your trusted partner allow you to customize and accommodate your unique needs, delivering optimal performance in diverse edge computing environments. Key components for a robust edge server include an efficient, multi-core processor capable of handling edge-specific tasks, adequate high-speed ECC RAM for supporting simultaneous processing, reliable and fast storage devices like SSDs or NVMe drives for storing edge data, and high-speed network interfaces for efficient data transfers.

By configuring your edge server with Intilogy, you can ensure that your server’s components and configurations are tailored to meet the specific demands of your edge computing applications, while benefiting from lower costs, greater flexibility, and better customization.

Database servers store, manage, and retrieve data efficiently for businesses, organizations, and any application that relies on databases for its operations. A powerful and reliable database server is essential for handling complex data queries and ensuring fast data transfers and accessibility. Intilogy’s database servers can be customized to align with your specific needs, delivering optimal performance in various data-centric environments.

Key components for a robust database server include a high-performance, multi-core processor, substantial high-speed ECC RAM for handling large databases and multiple queries, fast and reliable storage devices like SSDs or NVMe drives with RAID configurations for data integrity and redundancy, and high-speed network interfaces for efficient data transfers. With Server-Fuel’s customizable database servers, you can ensure that your server’s components and configurations are tailored to meet the specific demands of your data-driven applications.

Hyper-converged infrastructure servers (HCI) combine computing, storage and networking functionalities together into one unified system, manageable via one interface. HCI servers are typically used by businesses and organizations that are looking for a streamlined and flexible software-defined infrastructure. HCI is preferred where ease of integration and management are important.

HCI servers are a type of server where our servers excel due to their customizability. Ensuring your servers are fully aligned with your specific requirements. We configure HCI servers to supplied BoM, specifications or without requested components – where we handpick each component according to your needs en the environment your HCI servers will be implemented.

The performance of HCI servers can vary greatly depending on the components used. For instance, a suitable CPU ensures efficient processing power, while adequate RAM guarantees multitasking capabilities. Incorporating the right storage devices is vital in HCI servers to keep up with the data generated within the system(s), while our optimized networking solution ensures data is transferred at maximum speeds.

We are experiencing an increasing demand towards specialized AI servers. A system designed for AI needs to be able to handle seriously complex calculations, where the demand for picking the right components has even more importance. Though GPU’s are the most important for most deep learning workloads, using high-end CPU’s is important as well, since they need to be able to handle the machine learning workloads.

To avoid bottlenecks the server board needs to accommodate enough RAM slots to be able to handle the amount of data that can be processed. The GPU’s, which are essential for AI and machine learning algorithms since they excel at parallel processing and training deep neural networks. The data that is processed needs to be stored in high-performance storage devices. Though HDD’s can be used –SSDs are the more optimal choice when it comes to AI servers since they can write the data much faster. If all is configured well, the next bottleneck are the network adapters. Choosing high performance networking with Intilogy ensures fast and reliable communication between your AI servers and other devices within your network.