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.

Pay-as-you-go pricing model
Up and running in as little as 2 minutes

Calculate the Cost of Your Cloud Infrastructure

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

Server selection tailored to business needs
01
Private network — 3 Gbps
02
SLA — 99,98%
03
DDoS protection
04
Free traffic: unlimited port 100 Mbps
05
24/7 technical support
06
Automated OS installation and uploading your own ISO images
07
Public IPv4 address
08

Why Rent GPU Servers from Servercore

Rent server
Rapid resource scaling

If you need additional computing power for a task with high workloads, you can increase it in the control panel in just a few clicks.

Support for popular frameworks

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.

Creating Kubernetes clusters with GPUs

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.

You can stop GPU usage at any time

Use the graphics card only when working on tasks to reduce infrastructure costs.

You May Benefit from a GPU Server if You Need To

Work with neural networks and deep learning

and speed up image classification, speech recognition, and Big Data processing

Carry out high-performance computing (HPC)

and reduce time to results

Launch cloud-based projects up to 8 times faster

compared to Intel® Xeon® CPU-based cloud servers

Optimize design and graphics development

and boost 3D modeling, video processing, and rendering performance

Quickly solve complex tasks in science disciplines

using graphics cards for CUDA computations

Security of Servercore Solutions and Data Protection

5-tier IT system and data protection strategy

We ensure information security measures at all levels of data access — from application to data center.

Compliance with industry, local, international standards

Our solutions comply with standards ISO, PCI DSS, GDPR, DPA 2019, as confirmed by relevant certificates.

4 availability zones in 3 countries

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 consultation
01
Secured technologies

IaaS и PaaS

A wide range suitable for any task

Availability zones in Kenya, Uzbekistan, and Kazakhstan​

IAM service for managing authorization and access levels

02
Stability

SLA up to 100%

Maximum server availability

Compliance with GDPR and DPA 2019

Processing of personal data

PCI DSS

Payment data under protection
03
Benefit and convenience

Free migration

Billing in Kenyan shillings

Payment by MPesa or bank transfer

24/7

Free technical support

Businesses of All Sizes Trust Our Service Quality

Read case studies
Read case studies

Choose the Region Where You Want to Deploy Your Service

Nairobi
Almaty
Tashkent
1 availability zone
TIER III Design
TIER III
ISO27001
PCI DSS
Nairobi
Kenya
  • Dedicated Servers
  • Cloud Servers
  • Cloud Databases
  • Managed Kubernetes
1 availability zone
TIER III Design
TIER III Facility
ISO14001
ISO20000
ISO9001
ISO27001
ISO45000
Almaty
Kazakhstan
  • Dedicated Servers
  • Cloud Servers
  • Cloud Databases
  • Managed Kubernetes
1 availability zone
2 availability zone
3 availability zone
Reliability level — N+1
TIER II
Tashkent
Uzbekistan
  • Dedicated Servers
  • Cloud Servers
  • Cloud Databases
  • Managed Kubernetes
TIER III
Tashkent
Uzbekistan
  • Dedicated Servers
  • Cloud Servers
  • S3
  • Managed Kubernetes
Reliability level — N+1
TIER II
Tashkent
Uzbekistan
  • Dedicated Servers
  • Cloud Servers
  • Cloud Databases
  • Managed Kubernetes

Tier III data center in Nairobi

Fault tolerance level of at least 99.982% (no more than 95 minutes of downtime per year). Hosted services remain operational even during scheduled maintenance or power outages.

Compliance with global and local security standards

The data centers hosting Servercore products comply with DPA 2019 and GDPR standards and are PCI DSS 4.0.1 certified.

Five levels of client data protection

We ensure security of projects at all levels, from data centers to apps, through a range of measures, including 24/7 video surveillance, 2FA, encryption, and more.
Go to control panel

Network Connectivity Between Products to Build a Unified Infrastructure

Unite projects within Servercore using automated networks with a bandwidth of 100 Mbps and more, and connect them to on-premise or other network resources.

Internet

Each internal network node is N+1 redundant: switches, links between switches, borders

L2VPN network

Provides data transfer between neighboring nodes within the same network segment or between devices on the same LAN

Global router (L3VPN)

Highly secure network that enables the creation of an isolated private network within or between multiple data centers

Work from User-Friendly Control Panel

All projects on a single screen with fast navigation
IAM service for managing access levels
Transparent billing with ready-to-use reports
24/7 support in English
Rapid resource scaling
All projects on a single screen with fast navigation
All resources of your infrastructure are consolidated in a single screen. Monitor projects directly from the home screen and navigate to the required section with one click.
IAM service for managing access levels
Configure resource access levels for each employee based on their role. This enhances the security of your IT infrastructure.
Transparent billing with ready-to-use reports
Pay only for the resources you use in local or foreign currency. Export detailed cost reports in just a few clicks.
24/7 support in English
When technical or organizational issues arise, our specialists are ready to provide prompt support. Average response time in chat after creating a ticket is 15 minutes.
Rapid resource scaling
Flexibly scale the compute capacity of your project with just a few clicks. Reduce consumption to optimize costs or increase capacity for new tasks.

Compatible Products and Services for More Efficient Work

Consultation request

Try GPU Servers for Free

We will carefully review your request and respond within one business day.

    FAQ

    What is the difference between standard cloud servers and GPU-powered cloud servers?

    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.

    What operating systems are available for virtual GPU instances? Can I use my own OS?

    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.

    How do I pay for cloud-based graphics card (GPU) rental?

    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.

    What tasks are GPU server rentals suitable for?

    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.

    Where will the rented server be located?

    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.

    How is data security ensured on the servers?

    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.

    I’m unsure how to choose a cloud GPU server configuration for my business. What should I do?

    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.