GPU Dedicated Server Hosting

A GPU dedicated server includes one or more graphics cards alongside traditional CPUs. Unlike standard servers, which handle sequential tasks, GPU servers are optimized for parallel processing, making them ideal for machine learning, image rendering, and data-intensive tasks. At RedSwitches, our dedicated GPU server hosting gives you full hardware access, enabling faster performance for compute-intensive workloads. It's essential for AI training, simulations, and any job where speed and scale are crucial.

With dedicated GPU hosting, you gain full access to a physical GPU, with no sharing or throttling. In contrast, virtual GPU instances (vGPUs) share the same GPU across multiple users, which limits performance. At RedSwitches, our dedicated server hosting GPU ensures full isolation and raw power for your workloads. You maintain complete control over the environment, drivers, and usage, ideal for AI, 3D rendering, or video processing, where every GPU cycle counts.

GPU memory directly impacts the amount of data your model can process in one go. Larger memory allows for larger batch sizes, faster training, and improved performance. For deep learning tasks such as NLP or computer vision, memory-intensive models require high VRAM GPUs.

We prioritize data protection. All our GPU dedicated servers include DDoS protection, firewall setup options, private networking, and full root access to control permissions. Our data centers follow strict ISO and GDPR compliance standards. Whether you're running medical AI or financial algorithms, RedSwitches gives you a secure environment with full transparency and control. Your data and compute stay isolated, encrypted, and protected at all times.

CUDA cores are the tiny processors inside NVIDIA GPUs. They handle math-intensive tasks, such as matrix operations, which are essential for machine learning and rendering. The more CUDA cores you have, the faster your parallel workloads will run. RedSwitches GPU dedicated server hosting includes high-core GPUs optimized for AI, deep learning, and HPC applications. With full control over drivers and frameworks, you can harness every CUDA core to accelerate your project's performance.