Rent a dedicated server with GPU. Our bare metal servers are equipped with powerful AMD and Nvidia GPU accelerators designed for resource-intensive applications like AI & ML, data processing, and gaming. Deploy a pre-configured server in minutes, or fully customize your GPU server for full control.
Our pre-built dedicated servers are prepared and provisioned automatically from the ground up
Control your servers with a few clicks, or automate server management via RESTful API
Manage your expenses with hourly billing, or save money by ordering fixed-term services
Perfectly suited for high-end workloads, mission-critical applications and more.
Add your selected GPU upon your server deployment via Client Portal
Full server hardware belongs to a single user with zero virtualization
Automate your server management through REST API and DevOps integrations
Use Crypto, Credit Card, PayPal, or any other payment option
Our network is protected against the most common DDoS attacks by default
Get from 30 to 100TB of free monthly egress traffic included with your server
You may add private subnets, floating or DDoS protected IPs on demand
Add free backup storage and extend it to 2TB later when you scale up
GPU Dedicated Server is any Custom Dedicated Server that supports GPU accelerators. We offer Nvidia A100, A40, A16, A10, A2, Tesla P4, Quadro K2200 and K4200 GPU accelerators for you to choose from. These servers are ideal for applications such as machine learning, AI, gaming, and scientific simulations. They provide high-performance and parallel processing capabilities that increase the overall computational efficiency.
You may add your selected GPU when deploying a Custom Dedicated Server that supports GPU accelerators. It will take up to 24 hours to get your GPU Dedicated Server deployed. It will take from 24 to 72 hours to get your GPU Dedicated Server deployed, depending on your preferred region.
We support the following operating systems for Instant Dedicated Servers: Ubuntu (20.04, 22.04, 24.04), CentOS (7), CloudLinux (7), Debian (11, 12), AlmaLinux (8, 9), OpenSUSE (Leap 15), Windows Server (2019, 2022), VMware ESXi (7, 8), and any other custom Operating System via IP KVM self-install.
Nvidia A100, Nvidia A40, and Nvidia A10 Tensor Core GPUs are commonly used in hosting environments. These GPUs are designed for high-performance computing, deep learning, and data processing tasks, providing excellent parallel processing capabilities and efficiency. This makes them suitable for various applications in cloud and dedicated server setups.
The use of a GPU in a server greatly increases the computation power, primarily for parallel tasks. These include AI, graphics rendering, and machine learning. Large datasets and complex calculations yield optimal performance output when handled by GPUs and are thus more efficient compared to a CPU-only server. They are critical in scenarios that involve a lot of data operations.
When choosing a GPU server, consider the type of applications you plan to run, required GPU performance, memory, and storage needs. Evaluate different hosting providers and compare pricing, support options, and scalability. Additionally, make sure it is compatible with your software frameworks and assess the availability of technical support to aid deployment.
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