GPU memory, CPU, RAM, and storage in one card. Choose a server for your project.
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Compare GPUs for Your Server
Not sure which GPU to choose? Compare VRAM, model features, and common use cases to find a configuration that meets your software and workload requirements.
RTX, CUDA, Tensor Cores
Modern professional Blackwell architecture
Pascal-generation server GPU
Tensor Cores, server acceleration
Ampere architecture, compact server solution
When choosing a GPU, consider your software requirements as well as VRAM. For example, Tesla server GPUs can be a good fit for compute workloads but may not be the best choice for applications with a graphical interface. If you're unsure whether your software supports a GPU, check its requirements before ordering.
What Can You Use a GPU Server For?
Renting a server with a GPU lets you run software and perform computations on remote hardware. Choose a configuration based on your project's requirements, including the VRAM and CPU performance you need.
Create and process 3D scenes, visualize projects, and work with GPU-compatible graphics applications.
Edit, encode, and process video using hardware acceleration in compatible software.
Run and test machine learning models, process data, and handle other CUDA-supported workloads.
Work with graphics software on a remote server without hosting powerful hardware at your location.
Test applications, graphics engines, and software environments that require an NVIDIA GPU.
Host software and services that use a GPU to accelerate computation and data processing.
Benefits of Renting a GPU Server
A GPU server gives you access to NVIDIA hardware without buying a server of your own. Choose a configuration for your project, and the provider handles hardware hosting and maintenance.
There's no need to buy a server or GPU or arrange hosting. You pay to rent your chosen configuration.
Choose from servers with a range of Intel and AMD processors, RAM capacities, and NVMe drives.
Access and manage your server over the network using the methods available with your configuration.
If hardware fails, the provider inspects and replaces components according to the service terms.
Choose the specifications you need, from GTX and RTX to professional RTX PRO and Tesla server GPUs.
If you're unsure which GPU, processor, or amount of RAM to choose, the SerfStack team can help assess your project's requirements.
Buying your own server involves upfront costs for components, hosting, and ongoing maintenance. When you rent, you choose a ready-to-deploy configuration and pay for it for as long as you need it.
Renting is convenient for projects that need remote GPU access or want to test software before buying hardware. For sustained workloads, the cost advantage depends on the plan price, rental period, and cost of maintaining your own server.
What's Included with Your GPU Server
Your chosen configuration includes a network connection, operating system access, and server hardware maintenance. Network specifications and available management methods depend on your plan and location.
A public IP address for remotely connecting to your server and working with installed applications.
A 100 Mbps or 1 Gbps port, depending on the configuration and server location.
Administrator privileges to install software, configure the system, and manage your server.
Inbound and outbound traffic with no fixed volume limit, subject to the rental terms.
Inspection and replacement of faulty hardware components by the provider's technicians.
Servers are hosted in professional data centers with infrastructure designed for continuous operation.
The right configuration depends on your software and workload. Consider these four factors when making your choice.
Check which GPU models your software supports and how much VRAM it needs. For large projects, memory capacity can be just as important as GPU speed.
The GPU handles graphics and compute operations, but many applications also rely heavily on CPU and RAM. Choose them based on your application's overall requirements.
Estimate the space needed for your operating system, software, projects, and working files. NVMe drives are a good fit for workloads with frequent read and write operations.
Before ordering, check support for the CUDA version, drivers, and operating system you need. This is especially important for specialized software and NVIDIA Tesla server GPUs.
We can help you understand GPU server specifications and choose the right GPU and hardware for your workload. Contact us with any questions about server features, available plans, or rental terms. We'll help you find the right fit.
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GPU Server Frequently Asked Questions
Here are answers to common questions about renting a GPU server, without the technical jargon. If you need more information or technical advice, contact support and we'll be happy to help.
A GPU server has a dedicated graphics card that accelerates compatible graphics, video, and compute workloads.
Check your software's GPU, VRAM, and driver requirements. Then compare the CPU, RAM, storage, and rental price.
With administrative access, you can install compatible software. Check licensing requirements and support for your chosen GPU in advance.
Yes, for workloads supported by your chosen GPU. Consider the available VRAM, library requirements, and model size.
Yes, if the GPU, operating system, and software support your chosen remote access method. Some server GPUs have limitations.
Activation time depends on hardware availability and location. Check your chosen plan or contact support for details.
That depends on the server and available components. Our support team can explain your options.