K2 NeuroTech#

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K2 NeuroTech platform is designed for developing, training, and using machine learning and deep learning models. It offers a universal toolkit for dealing with data and AI models: a modern GPU-powered computing infrastructure, user-friendly management tools, and a wide range of specialized technologies.

K2 NeuroTech provides resources for developing and training machine learning models as per both Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) models. You can launch virtual machines with the required computing resources (vCPU, RAM, GPU) to independently deploy the solutions, or you can use ready-made tools, such as development environments, containers, databases, etc.

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, and connect up to 8 GPU cards in order to handle the most resource-intensive tasks.

Use cases:

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

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

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