Cloud MTS

High-performance and scalable platform with GPU accelerators

For ultra-fast artificial intelligence (AI) operations, high-performance computing (HPC), and graphics.

For whom

Companies using artificial intelligence, neural networks, big data, Data Science technologies

High-tech startups that want to reduce expenditure on high-performance computing related to video processing, face recognition, and speech technologies

Companies that use Autodesk software, including AutoCAD, 3D MAX, Photoshop for solving graphic tasks

Use cases

Building a proprietary deep learning platform

Video rendering with a variety of computer graphics

Statistical analysis and various forecast model generation

Engineering, 3D modeling and design

Research in the field of molecular chemistry, biochemistry, mathematics

Work with artificial intelligence and machine learning — from development to implementation

Test drive

Cloud hyperscaling

Use exactly as much supercomputer capacity in the cloud as is required to solve your tasks.

Vertical scaling

Of computing resources by increasing the virtual graphics cards capacity

Horizontal scaling

By increasing the vGPU number or entire computing servers

Advanced high-performance hardware

Huawei and DGX computing servers

For working with AI high-performance computing

Support RDMA over CE technology

To accelerate data exchange in distributed computing

NVIDIA Tesla V100 accelerators 32GB and above

To solve big data analytics tasks and reduce decision-making time

High-speed interconnect

Mellanox 100GE technology with minimal delays

CPU with a frequency of 3 GHz and above

Powerful virtual processors in the optimal configuration to solve your tasks

All-Flash SSD storage

Fail-safe disks for ultra-fast access to stored and processed data

Test drive

With public cloud capabilities

Working with the GPU SuperCloud is as easy as with the public Elastic Cloud — a clear and user-friendly interface, flexible management, and access from any location.

Working convenience

Full-function self-service dashboard for infrastructure management

Flexible management

Management automation via API and Terraform

Network security

Managed network gateway, full-fledged network management and VPN

Ready-made images

Support of Linux and Windows images, including optimized images with NVIDIA Docker and NVIDIA GPU Cloud support

Load distribution

GPU and CPU load placement

Selectable configuration

Dedicated resource pools, which you can use to create both powerful and microservers

Supported technologies

Rates

x4 gc

4vCPU x 3GHz
10 GB RAM
200 GB SSD
1vGPU X4 4GB
Performance is 640 CUDA cores

Linux

8 990, 00rubles/month.

Linux + Windows

9 990, 00rubles/month.

x16 gc

16vCPU x 3GHz
40 GB RAM
800 GB SSD
1vGPU X16 16GB
Performance of Tesla T4 16B

Linux

35 990, 00rubles/month.

Linux + Windows

36 990, 00rubles/month.

x32 gc

32vCPU x 3GHz
80 GB RAM
1600 GB SSD
1vGPU X32 32GB
Performance of Tesla V100d 32GB

Linux

71 990, 00rubles/month.

Linux + Windows

72 990, 00rubles/month.

x64 gc

64vCPU x 3GHz
160 GB RAM
3200 GB SSD
2vGPU X32 32GB
Performance of Tesla 2 x V100d 32GB

Linux

143 990, 00

Linux + Windows

144 990, 00rubles/month.

x128 gc

128vCPU x 3GHz
320 GB RAM
6400 GB SSD
4vGPU X32 32GB
Performance of Tesla 4 x V100d 32GB

Linux

288 990, 00rubles/month.

Linux + Windows

289 990, 00rubles/month.

HPC1

2vCPU x 3GHz
7 GB RAM
80 GB SSD
Without GPU

Linux

4 690, 00rubles/month.

Linux + Windows

4 990, 00rubles/month.

Additional resources

Additional disk space: 15 rubles/GB.
The maximum number of GPUs in a single VM is 4, vCPUs in a single VM is 72.
2 IPv4 addresses are free, an additional IPv4 address 150 rubles/pc/month, IPv6 addresses — free of charge
The interconnect speed is up to 100 Gbit/s, traffic not charged.
The external channel speed to the Internet is up to 1 Gbit/s per virtual data center

Testimonials

Sergey Shatov

Tosay, artificial intelligence technologies create new opportunities in a variety of fields, ranging from finance, telecom, manufacturing, and up to healthcare and education. We are glad that MTS Cloud's offer makes it possible for Russian companies and researchers to use NVIDIA DGX platform - a powerful tool for neural network development.

Иван Муратов

Очень круто, сразу же предустановлен Docker актуальной версии. Поигрались с машинным обучением, распознаванием образов и прочими типовыми задачами. Впечатление положительное, железо работает, проблем с софтом не было, сеть не подводила. с ценовой политикой все адекватно. Нам понравилось.

Service Manager

Stanislav Obidin

The head of the MTS ML\AI service direction.
Develops the GPU SuperCloud direction, MLOps platforms and services based on artificial intelligence and machine learning.
Over 20 years in IT, including the software development field.

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