1 GPU - Dual CPU - 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.

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 that support only one GPU are often best suited for small to medium-sized businesses or specific tasks that require moderate graphical or computational power, such as basic machine learning algorithms or video transcoding. The benefit of having a single GPU is that it offers a cost-effective solution while still providing a significant boost in performance for specialized workloads.