Yandex DataSphere
An ML development service with a user-friendly interface that makes it easy to get started. DataSphere provides all the tools and dynamically scaled resources needed for an end-to-end ML cycle.
Flexible choice of resources
Select the configuration and resources needed for specific code segments in your ongoing project. It takes seconds to apply changes within a training scenario and save the work result.
Integration with local environment
Choose the right configuration for computing resources to start training models in just a few seconds. Everything will be created automatically with no need to manage infrastructure.
Familiar IDEs
Use the Jupyter® Notebook user-friendly interface as a problem-solving environment, connect TensorFlow, PyTorch*, and other popular libraries for data analysis and machine learning.
Simple resource management
Manage project data, save it to datasets, and set up connections to databases, Object Storage, or other repositories, all in one interface.
Collaboration
Collaborate with colleagues around the world to create an ML model, share the project, and set budgets for teams across your organization.
One-click deployment
Launch your ML in minutes, without the help of developers. Run experiments with simultaneous publication of different versions of models.
Getting started
Getting started
Create your project in the management console and work in the familiar Jupyter® Notebook interface, leveraging the computing power of Yandex Cloud.
End-to-end ML cycle in the cloud
End-to-end ML cycle in the cloud
From experiment to implementation: Yandex DataSphere covers the complete lifecycle of ML models for business.
- Collect and analyze data
- Create dozens of ML models and select the best ones
- Train models on full datasets
- Deploy your models quickly at no additional cost
Who is DataSphere for?
Data Scientists
The Mighty Data Science concept means you don’t need help from other specialists to release a model. Add and publish it in just a few clicks.
Development managers
Manage team budgets flexibly, restore a project and environment in two clicks even without an author, and centrally store and manage resources.
Data engineers and analysts
You have access to popular libraries for data analysis and processing, as well as the ability to organize work with data scientists in one environment.
Questions and answers
DataSphere is a cloud environment that combines the most popular tools and resources for ML development. It helps you complete the full cycle of creating a model: from an experiment and development to the launch of a finished version on Yandex Cloud computing resources
Get started with Yandex DataSphere
Useful links
⚹ TensorFlow is a registered trademark of Google Inc.
⚹ PyTorch is a registered trademark owned by Facebook, Inc.