K2 NeuroTech#

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K2 NeuroTech platform is designed for creating, training, and using machine learning and deep learning models. It offers a universal toolkit for dealing with data and AI models: a modern computing infrastructure, user-friendly controls, and a wide range of specialized technologies. It also offers state-of-the-art development environments (JupyterLab and VS Code), flexible CI/CD solutions (GitFlic), vector databases (Milvus and ChromaDB), and file system management applications (File Browser).

K2 NeuroTech provides resources for developing and training machine learning models, on a PaaS basis. All deployed services can be integrated with other K2 Cloud services thanks to network connectivity.

The resource management interface in K2 NeuroTech is similar to the one used in K2 Cloud, and allows you to quickly create compute instances and launch experiments. You can increase computing power to accommodate your project needs.

Use cases:

  • experiment launching — running numerous experiments with different model parameters and architectures;

  • model training and validation – using powerful compute resources for efficient and fast model training;

  • model lifecycle management (ML Lifecycle Management) – from the model development to deployment and performance monitoring.