2U - 6U - 8U - Dual CPU - IP65 enclosure - NVMe native - tower / 4U - SERVERS

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Get started today with Server Simply and experience the power and flexibility of solutions that drive success. Customize your setup now and see why so many businesses trust us to enhance their IT infrastructure.

4U/Tower servers or workstations. Can be used as standing devices without rack cabinet or rackable with special sliding rails kit. Mostly as powerful workstations with Graphical processors inside, they are quiet and can be ised within same room as systems user.
2U is two rack unit size devices, that are 19" wide in standard rack enclosures.
6U is six rack unit high devices, that are 19" wide in standard rack enclosures. Usually need 4 point installations. It means Rack cabinet must have rear rails to support the weight of the servers. Often blade, microblade systems.
8U is eight rack unit high devices, that are 19" wide in standard rack enclosures. Usually need 4 point installations. It means Rack cabinet must have rear rails to support the weight of the servers. Often Blade, Superblade, Microblade systems or most powerful Multi-processor servers and GPU servers.
Outdoor IP65 class Compact servers are small form factor servers and often in Embedded series servers. Low power and effective design for variety of edge computing applications. Mostly used in Smart City and 5G solutions.
Dual CPU servers offer enhanced performance and are ideal for mid to large-sized enterprises running compute-intensive applications or virtualized environments. With two processors, these servers provide higher throughput and are commonly deployed in data centers for machine learning, complex simulations, and high-traffic web services, maximizing operational efficiency and scalability.
Servers with native NVMe (Non-Volatile Memory Express) support are designed for the most demanding data-intensive tasks, such as big data analytics, machine learning, and high-frequency trading. Native NVMe offers unparalleled speed and low-latency data access, revolutionizing the data processing capabilities of enterprises and HPC centers.