AMD EPYC 7000 series - Intel Atom P series - Intel Atom X series - Intel Celeron series - Intel Core series - NVIDIA Grace Hopper series - NVIDIA Grace series - SERVERS

At Server Simply, we specialize in providing reliable servers, comprehensive data center solutions, and advanced networking products tailored to meet the needs of any organization. Whether you're upgrading your infrastructure or setting up a new network, our easy-to-use online server configurator allows you to customize your storage, rack, tower, workstation, or networking solutions effortlessly.

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• Wide Product Range: From cutting-edge servers to robust networking solutions, our diverse lineup ensures that you find the perfect fit for your technology requirements.

• Customizable Solutions: Our intuitive online configurator lets you tailor specifications to your exact needs, making it simple to select components that match your performance and budget criteria.

• Expertise and Reliability: With years of industry experience, we provide products and services you can depend on to keep your operations running smoothly.

• Rapid Deployment: Once configured, your solutions are quickly prepared for deployment, ensuring you get up and running without delay.

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.

Intel Atom P processors are optimized for portable devices and edge computing solutions, offering low power consumption and efficient performance. These processors are ideally suited for mobile and IoT applications where energy efficiency and compact form factor are crucial, delivering a balanced mix of performance and battery life.
Intel Atom X processors are designed for low-power, fanless devices such as tablets, 2-in-1 laptops, and other mobile computing platforms. These processors provide a balance between performance and energy efficiency, making them suitable for extended battery life scenarios and compact designs.
Intel Core processors are versatile and well-suited for a broad range of applications, from personal computing to small-scale server environments. Known for their efficient power usage and higher clock speeds, these CPUs are often the go-to choice for users looking for reliable performance, whether it's for everyday tasks, content creation, or entry-level gaming.
The NVIDIA Grace Hopper™ architecture brings together the groundbreaking performance of the NVIDIA Hopper™ GPU with the versatility of the NVIDIA Grace™ CPU in a single superchip, connected with the high-bandwidth, memory-coherent NVIDIA® NVLink® Chip-2-Chip (C2C) interconnect.
The AMD EPYC 7000 series processors are designed for scalable data center and enterprise applications, excelling in tasks like virtualization, high-performance computing, and cloud-based solutions. Leveraging a significant number of cores and an architecture optimized for efficiency, these processors offer high performance, robust security features, and an attractive TCO (Total Cost of Ownership), making them a favored choice for organizations aiming to achieve operational excellence.
Intel Celeron processors are specifically designed for affordable and low-power solutions, often utilized in netbooks, Chromebooks, and entry-level consumer laptops. Their low-cost and energy-efficient architecture make them a go-to choice for educational institutions and users who require basic computing functionalities like internet browsing, email, and word processing.
The NVIDIA Grace CPU is the first data center CPU developed by NVIDIA. By combining NVIDIA expertise with Arm processors, on-chip fabrics, system-on-chip (SoC) design, and resilient high-bandwidth low-power memory technologies, the NVIDIA Grace CPU was built from the ground up to create the world’s first superchips for computing. At the heart of the superchip lies the NVLink Chip-2-Chip (C2C) that allows the NVIDIA Grace CPU to communicate at 900 GB/s bidirectional bandwidth with another NVIDIA Grace CPU.