AI and machine learning
Inference, enterprise assistants, training and model experiments.
GPU server rental
Computing
that moves ideas forward.
GPU servers with NVIDIA RTX PRO Blackwell for AI, rendering, video and scientific computing. Select VRAM and resources for your workload.
NVIDIA Blackwell · 6 models
GPU server from 24,900 ₽/month24–96 GB VRAM for your task
MST + Syncweb
Systems integration expertise and hosting infrastructure within one group.
From task to computingModels. Scenes. Data.
Models. Scenes. Data.
Resources for your result.
Start with the application, data volume and workflow. Check environment compatibility and memory use.
HPC and CUDA
Parallel computing and large dataset processing.
3D and rendering
Complex scenes and visualisation in compatible GPU applications.
Images and video
Computer vision, image generation, frame and media stream processing.
One architecture. Different scales.More memory.
More memory.
More room for ideas.
An entire GPU in every configuration. Select the card, then CPU, RAM and disk. Monthly pricing includes the selected VM profile.
01
Select a GPU
Prices include GPU Start
02
Server resources
1 IPv4Up to 200 MbpsRoot accessMonthly prepayment
Software environmentYour stack.
Your stack.
Your computing environment.
Configure the server with root access or request environment setup. We agree compatible drivers and library versions for Blackwell.
From server to taskDeployment overview
GPU + VMDedicated graphics card
→
EnvironmentDrivers and libraries
→
AppYour workload
Before launch, test the selected application, memory use and results on your workload.
When neededMore than computing power.
More than computing power.
Help getting started.
Configuration, backups and support are additional services.
Environment preparation
Drivers, Docker, your selected stack and a test run. Scope is agreed separately.
Backups
Separate storage for project data, with backup schedules and recovery under agreed terms.
Administration
OS updates, monitoring and server environment maintenance.
How we workFrom requirements
From requirements
to working infrastructure.
We agree the solution scope, resource availability and terms before connection.
-
01
Describe your workload
Application, model, data and expected outcome. NDA if required.
-
02
Select resources
VRAM, CPU, RAM, disk and environment compatibility.
-
03
Agree the terms
Hardware availability, pricing, timing and responsible contacts.
-
04
Connect the server
Access after agreement and payment; setup under the selected scope.
Infrastructure + DevelopmentNeed more than a GPU?
Need more than a GPU?
We can help with the task itself.
MST develops software and machine learning solutions. Discuss the project from data and model to deployment.
Questions answeredDiscuss the essentials.
Discuss the essentials.
Before launch.
Is the graphics card shared between customers?+
In this offering, one entire GPU is assigned to your virtual machine.
Is this a whole physical server?+
It is a virtual server with an entire GPU. CPU, RAM and disk are selected as virtual machine resources.
How do we choose VRAM capacity?+
Consider model size, context, working buffers or scene size. Send the application and task description so we can assess the configuration.
Can we train neural networks?+
Yes, where the model and environment are compatible with the selected card and fit available resources. Feasibility and timing are checked for your task.
What is included in the price?+
The selected GPU and VM profile, one IPv4 address, up to 200 Mbps connectivity and root access. Setup, backups and administration are additional services.
How quickly is access provided?+
Timing depends on hardware availability and environment preparation. We confirm it before ordering.
Start with your challengeWhat result
What result
do you want to achieve?
Specify your application, model and data volume. We will help select a GPU and server environment.
- Workload and required VRAM
- CPU, RAM, disk and rental period
- Setup and support
Solution scope, timelines and terms are agreed for your project.
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