Cloud-Based GPU Servers
Rent cloud-based servers with NVIDIA graphics cards for computationally intensive tasks. Significantly speed up data analysis, machine learning processes, and graphics work.
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Virtual machines are equipped with NVIDIA® RTX™ A5000, A100, and RTX™ PRO 6000 graphics cards. These cards operate as dedicated PCI devices within the virtual machine, allowing full utilization of all GPU resources.
If you haven’t found a suitable configuration, please contact our engineers at hello@servercore.com.
What is Included in the Price
Why Rent GPU Servers from Servercore
Rent serverIf you need additional computing power for a task with high workloads, you can increase it in the control panel in just a few clicks.
Graphics cards are compatible with popular libraries such as TensorFlow, PyTorch, Keras, MXNet, and Caffe. They also work with a variety of neural network architectures including GAN, CNN, RNN, SSNN.
Use Kubernetes clusters with GPUs for tasks with varying complexity — from training basic models to processing multimedia content and bringing machine learning models into production.
Use the graphics card only when working on tasks to reduce infrastructure costs.
You May Benefit from a GPU Server if You Need To
and speed up image classification, speech recognition, and Big Data processing
and reduce time to results
compared to Intel® Xeon® CPU-based cloud servers
and boost 3D modeling, video processing, and rendering performance
using graphics cards for CUDA computations
Security of Servercore Solutions and Data Protection
We ensure information security measures at all levels of data access — from application to data center.
Our solutions comply with standards ISO, PCI DSS, GDPR, DPA 2019, as confirmed by relevant certificates.
Deploy services across several data centers located in Kenya, Uzbekistan or Kazakhstan to enhance the fault tolerance of your IT systems.
Servercore is Stable, Simple, and Offers Local Infrastructure
Request a consultationIaaS и PaaS
Availability zones in Kenya, Uzbekistan, and Kazakhstan
IAM service for managing authorization and access levels
SLA up to 100%
Compliance with GDPR and DPA 2019
PCI DSS
Free migration
Billing in Kenyan shillings
Payment by MPesa or bank transfer
24/7
Our Сustomer Stories
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FAQ
The main difference between standard cloud servers and GPU-powered dedicated servers is the presence of GPUs or GPU accelerators.
In cloud computing, GPUs are integrated into cloud servers to provide enhanced computational power for various applications. They are particularly effective at handling tasks that can be broken down into many smaller, parallel operations, such as graphical design tasks, scientific research computing, and machine learning.
To create a cloud GPU server, the control panel offers pre-configured images of Ubuntu, CentOS, Debian, Fedora, Fedora CoreOS, Windows, Alma Linux, Astra Linux, Rocky Linux, and Oracle Linux with prepared working environments and optimized settings.
If none of the images are suitable, you can use your own image in the control panel.
You can pay for your GPU server rental in your local currency or with your bonus credits.
To do this, you need to top up your account balance in the control panel. The final cost will be automatically deducted based on resource consumption every hour — on a pay-as-you-go model.
For detailed payment instructions and information, please refer to our documentation.
Rental of a cloud-based GPU server is ideal for computationally demanding tasks:
— Various machine learning tasks, including deep learning, neural networks, speech recognition, and big data processing.
— AI training.
— Graphics work: rendering, 3D modeling, working with various graphical models and other resource-intensive tasks.
— Complex data analysis.
— High-performance computing (HPC).
— Scientific modeling and minimizing CUDA computation time.
— Rapid project deployment, including virtual desktop infrastructure (VDI) setup.
Servercore is an international IT infrastructure provider specializing in cloud computing, with a local presence in Uzbekistan, Kazakhstan, and Kenya.
The location of your virtual machine depends on the cloud-based GPU server configuration you choose. More details about our data centers, Tier certifications, and regions of presence is available in our documentation.
To secure data on our servers, we create RAID arrays for local disks and implement triple data replication for network disks. For additional protection, we recommend setting up regular backups. All of our cloud servers come with basic DDoS attack protection. Furthermore, our data centers comply with global and local data security standards, including PCI DSS.
Reach out to our technical support team. Make a specific request to hello@servercore.com or create a ticket in the control panel. We will help you select a server with suitable disk and memory capacity, and we will respond within one business day.