1U - Ampere Altra series - Intel Xeon D series - 1U Rackmount Servers

Harness the capability of our Rackmount Servers to maximize efficiency in your server infrastructure. These servers occupy a single unit within a server rack and exemplify the balance between high performance and compact design, ideal for environments where space is at a premium.

Key Advantages:

• Compact Yet Powerful: Our servers fit snugly into a rack frame, taking up roughly 1.75 inches in height, which means outstanding performance in a small space.
• Scalability: Designed to grow with your needs, these servers are perfect for businesses planning for the future.
• Energy-Efficiency: Opting for a rack server equates to lower power consumption, making it a smart choice for budget and environment alike.
• Versatile Hosting Solutions: From startups to expanding enterprises, the flexibility of rack servers caters to a wide range of hosting requirements.

Explore our selection to find the Rackmount Server that fits your needs. If your project requires more space, or you're simply curious about larger setups, our rackmount options lead seamlessly into our versatile range, including solutions like the mid-range 2U Rackmount Servers, perfect for those who need to scale up their server capabilities without compromising on quality.

1U is One rack unit size devices, that are 19" wide.
Intel Xeon D processors are optimized for dense server environments and edge computing, delivering a powerful performance in a low-power, compact footprint. These processors are particularly suited for tasks like network function virtualization, software-defined storage, and other workloads requiring high-throughput and low latency, making them a cost-effective and energy-efficient option for both data centers and edge deployments.
Ampere Altra processors are gaining traction in hyperscale cloud environments and edge computing solutions, thanks to their power-efficient ARM architecture. These processors offer an impressive core density and are optimized for parallel processing tasks, making them ideal for workloads that involve high-throughput computing and containerized applications.