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Cloud services
Virtual desktop
Advanced services for providing employees with secure remote access to powerful virtual desktops and corporate client resources from any device, from anywhere in the world.
Network services
We provide a set of solutions for building and optimizing network infrastructure. This will enable you to implement the required connectivity between different services with certain quality parameters  quickly and efficiently.
Data storage and backup
Reliable and stable with MTS Cloud. We provide storage of all data types and volumes. This will enable you to work with data and applications quickly and efficiently.
Equipment rent
Proprietary services that will help to improve  efficiency of your IT departments.

MLOps Platform

ML/AI project development and lifecycle
management automation platform

  • ml/ai solution cost reduction
  • speeding up project implementation time due to efficient ml project lifecycle management
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MLOps Platform features

Convenience and flexibility of deployment, development, training and model testing
Convenience and flexibility of deployment, development, training and model testing
Quick launch of ML/AI solutions development without extra environment preparation and configuration costs
Quick launch of ML/AI solutions development without extra environment preparation and configuration costs
Customizable and reproducible workflows
Customizable and reproducible workflows
Development resources control and management
Development resources control and management
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Tasks to solve

Automation

Automation

MLOps pipelines development to automate workflows throughout the MLOps lifecycle

Collaboration

Collaboration

Collaboration of engineers and other teams in the secure environment

Reproducibility

Reproducibility

Tracking data and models versions, saving all project assets and artifacts

Future add-ons

Future add-ons

Integration of multiple frameworks and tools in the course of development and growth

Scaling

Scaling

Availability of a wide range of tools: from small to large

Technical features

Management of MLOps Platform atop of Kubernetes
Work in the cloud, on-premises, mixed infrastructure
Commercial and open source tool support

Tools and integrations

Frameworks TensorFlow, Keras, PyTorch, Catalyst
Experiment Tracking TensorBoard
HyperParameter Tuning NNI
Remote debugging VSCode
Distributed learning Horovod, PyTorch 1.5, Internal Native
Model Deployment Seldon, Cortex, TorchServe
Training Pipelines Apache Airflow, Internal Native
Data Registry DVC
Model Registry Internal Native
IDEs Built-in: Jupyter® Lab / Jupyter® Notebook; Use on-premises: VSCode, PyCharm, other familiar IDE
Tools and integrations Zoom Get advice

Choose a convenient way to work with the platform

Command interface (CLI)
Command interface (CLI)
Web interface
Web interface
Python API
Python API
Beta testing

Service Manager

Stanislav Obidin
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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