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GPU Super Cloud

Ultra-fast way to work with artificial intelligence (AI) and high-performance computing (HPC)

The first multi petaflops GPU based supercomputer in Russia and the CIS

Solves industrial problems of our clients since July 2019

Creating your own deep learning platform is a complex process that goes beyond typical cloud tasks like choosing a provider and graphics accelerators. You will need to integrate a complex set of software and hardware, and such competencies and resources are not usually easily accessible.

GPU SuperCloud is a ready-made solution that helps you close the pool of AI tasks in the shortest possible time.

Cloud HyperScale

From interface to solving problems at the supercomputer level

Vertical scaling of computing resources by increasing the power of virtual video cards.
Horizontal — scaling by increasing the number of vGPU or entire computing servers.

Solution flexibility allows to achieve maximum return on investment: use just as much supercomputer capacity in the cloud as you need to solve your tasks.

Modern high-performance hardware

Developed and verified together with market leaders–NVIDIA and Mellanox

Huawei and DGX computing servers designed specifically for AI high-performance computing

High-speed interconnect using Mellanox 100GE technologies with minimal delays

NVIDIA Tesla V100 32GB and higher accelerators

Support for RDMA over CE technology to speed up data exchange in distributed computing

CPU with a frequency of 3 GHz or more

Fast and fault-tolerant All-Flash SSD storage

Elastic Cloud Functionality

01

Full-featured self-service dashboard for infrastructure management

02

Management automation via API and Terraform

03

Managed network gateway, full network and VPN management

04

Support for Linux and Windows images, including optimized images with NVIDIA Dockerand NVIDIA GPU Cloud support

05

GPU and CPU loads hosting

06

Dedicated resource pools for creating both powerful and microservers

Available for businesses of any size

Performance at affordable prices

We have lowered the threshold for entry into high-performance computing and AI, turning supercomputers into an everyday business tool

We understand how important they are for business, especially in difficult times

X4 GC

  • 4vCPU x 3GHz
  • 10 GB RAM
  • 200 GB SSD
  • 1vGPU X4 4GB
  • 640 cores performance

Linux

8 990

RUB/ month Price excluding VAT 20%

Linux + Windows

9 990

RUB/ month Price excluding VAT 20%

X16 GC

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

Linux

35 990

RUB/ month Price excluding VAT 20%

Linux + Windows

36 990

RUB/ month Price excluding VAT 20%

X32 GC

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

Linux

71 990

RUB/ month Price excluding VAT 20%

Linux + Windows

72 990

RUB/ month Price excluding VAT 20%

X64 GC

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

Linux

143 990

RUB/ month Price excluding VAT 20%

Linux + Windows

144 990

RUB/ month Price excluding VAT 20%

X128 GC

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

Linux

288 990

RUB/ month Price excluding VAT 20%

Linux + Windows

289 990

RUB/ month Price excluding VAT 20%

Maximum RAM in one GPU VM — 160 GB

Additional resource pools without GPU:

HPC1

  • 2vCPU x 3GHz
  • 7 GB RAM
  • 80 GB SSD

Linux

4 690

RUB/ month Price excluding VAT 20%

Linux + Windows

4 990

RUB/ month Price excluding VAT 20%

Additional disk space: 15 RUB / GB

Maximum number of GPUs in one VM is 4, 72 vCPU in one VM.

2 IPv4 addresses are free, additional IPv4 address is 150 rubles / piece / month, IPv6 addresses are free

The connection speed is up to 100 Gbit / s, no payment for traffic

The speed of an external channel to the Internet is up to 1 Gbit / s per virtual data center

Price excluding VAT 20%.

Main supported technologies

High performance computing
Deep learning and machine learning
Visualization
Inference
Smart cities
Infrastructure
Medicine
Высокопроизводительные вычисления
High performance computing
Deep learning and machine learning
Visualization
Inference
Smart cities
Infrastructure
Medicine
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    NAMD
    MATLAB
    GAMESS
    Parabricks
    CANDLE
    PIConGPU
    Microvolution
    RELION
    BigDFT
    MILC
    HOOMD-blue
  • OmniSci [MapD]
    PaddlePaddle
    Chainer
    H2O Driverless AI
    Kinetica
    Caffe2
    Microsoft Cognitive Toolkit
    Theano
    Torch
    MATLAB
    Cuda GL
    Cuda
    MapR PACC
    Dotscience Runner
    Deep Cognition Studio
    Kaldi
    NVCaffe
    MXNet
    DIGITS
    TensorFlow
    TensorRT
    PyTorch
    TensorRT Inference Server
    RAPIDS
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    VMD
    ParaView IndeX
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    ParaView OptiX
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  • Kaldi
    TensorRT Inference Server
    TensorRT
    Cuda GL
    Cuda
    CT Organ Segmentation AI
    DeepStream
    Smart Parking Detection
  • Transfer Learning Toolkit
    Smart Parking Detection
    DeepStream
  • Dotscience Runner
    MapR PACC
    Cuda
    Cuda GL
    DCGM Exporter
    Device Plugin
  • CT Organ Segmentation AI
    Clara Render Server

Use NVIDIA and MTS experience in the field of deep learning for your project and there will be no need to spend extra time and money to get the needed results. Spend less time on setup and optimization and do more research.

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FAQ

All the latest CUDA versions are supported. One can use different CUDA versions for various tasks within the frame of one cloud service, with the use of docker images in NVIDIA GPUCloud here.

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