Rent High-Performance GPU Servers
Rent servers with graphics cards for a day or month. A solution for complex computing: ML, Big Data, 3D graphics, video rendering, HPC, and VDI.
Why Rent GPU Servers by Servercore
Rent GPU serverIf you need additional computing power to complete your task, you can instantly increase it in the control panel with just a few clicks.
Graphics cards work with popular libraries such as TensorFlow, PyTorch, Keras, MXNet, and Caffe. They are also compatible with various neural network architectures, including GAN, CNN, RNN, SSNN, and others.
Use the graphics processor only when working on tasks to reduce infrastructure costs.
Use Kubernetes clusters with GPUs for tasks of any complexity — from training basic models to processing multimedia content and deploying machine learning models to production.
What Tasks Can Servers with Graphics Cards Help Solve
Types of GPU Card Servers
Virtual servers with NVIDIA graphics cards. The cards function as dedicated PCI devices in a virtual machine with full access to resources. Servers are created in isolated projects on a scalable cloud platform.
Physical servers with NVIDIA graphics cards. Choose your configuration, fully manage your computing resources, and install any software you need. Dedicated GPU servers are hosted in the cloud provider’s data center with guaranteed power, cooling, networking, and maintenance.
Ready-Made Configurations with Pre-Installed Software
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Ubuntu
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Debian
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Windows
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CentOS
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Alma Linux
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Rocky Linux
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Fedora
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Cloud ELK
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Cloud Mattermost
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ispmanager Lite
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Cloud Gitlab
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Nextcloud
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Cloud Gitlab Runner
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Cloud Wazuh
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Cloud Jenkins
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Cloud Keycloak
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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Tier III data center in Nairobi
Compliance with global and local security standards
Five levels of client data protection
Network Connectivity Between Products to Build a Unified Infrastructure
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Compatible Products and Services for More Efficient Work
Cloud Servers
Cloud-Based GPU Servers
Dedicated Servers
Shared vCPU Cloud Servers
Managed Kubernetes
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Cloud-Based File Storage
Cloud Backup Solutions
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Servercore Mail Service
FAQ
GPU VPS with NVIDIA® RTX™ A5000 graphics cards are currently available for order in the control panel. These graphics cards have single-precision performance of 27.8 TFLOPS and RT Core Performance of 54.2 TFLOPS.
To create a server with graphics cards, 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 upload your own in the control panel.
The final price is determined by the cost of all server resources, including GPU memory, the number of vCPUs, the amount of RAM (in GB), and the type of local disk (NVMe or SATA SSD). You can calculate the price in the control panel.
You can pay for GPU server rental using local currency or bonuses.
To do this, you need to top up your account balance in the panel. The total cost will be automatically deducted based on resource consumption every hour — following the pay-as-you-go model.
For detailed payment instructions and server information, please refer to our documentation.
Renting a cloud server with a GPU is suitable for:
— machine learning, including deep learning, working with neural networks, speech recognition, big data processing,
— graphics tasks: rendering, 3D modeling, and other high-load operations.
— media processing: live video streaming and real-time encoding,
— complex data analysis,
— high-performance computing (HPC),
— scientific modeling and minimizing CUDA computation time,
— rapid project delivery, including setting up virtual desktops (VDI).
Servercore is an international IT infrastructure provider with a local presence in Uzbekistan, Kazakhstan, and Kenya
The location of your virtual machine will depend on the GPU cloud server configuration you select. You can learn more about our data centers, Tier certificates, and regions of presence in the documentation.