ModelArts (MA)

The importance of the cloud for development and the operation of services using artificial intelligence (AI) is growing continuously. Therefore, many cloud operators are making the switch to providing entire customized development environments as AI PaaS. These AI suites comprise everything an AI developer needs to generate their own models. With ModelArts, the Open Telekom Cloud offers a modern, easy-to-use and end-to-end development platform for AI that allows models to be trained and provided.

Security made in Germany:
aproven European platform for AI

The Open Telekom Cloud offers companies that want to use AI an advantage: all data remains in Europe. AI models can thus be developed and trained in a protected environment – even if sensitive data from internal systems is required for the training. The Open Telekom Cloud either does not use the training data to improve internal algorithms. Thus it is a first-class development platform for companies that rely on AI and value the fact that the data used remains their property. And it offers full flexibility: After development, the final model can easily be operated on any other cloud.

From data preparation to training, to provision of the application – with us, you get everything from a single source.

ModelArts can be used even without any programming experience and supports common open-source frameworks.

Requirement-based, powerful computing resources for quick training (CPU and GPU).

Data preparation

ModelArts provides support in data collection, data annotation and version management.

Algorithms

ModelArts contains preconfigured, ready-to-use algorithms and myriad popular open-source frameworks, such as TensorFlow, PyTorch, MXNet, Caffe, Spark ML, Scikit, XGBoost, as well as the MoXing Software Development Kit (SDK).

Training

ModelArts supports various training methods, such as machine learning, deep learning and auto learning (via ExeML).

Provision

The finished AI services can be used online (via APIs), as batch jobs, or on end devices.

Marcetplace

A marketplace where developers can offer their models, apps, APIs and data sets is planned.

Life cycle management

The individual process steps for AI development are integrated in an end-to-end life cycle management system which ensures that the development process is transparent and clear. This includes ExeML UI Wizard, Jupyter Notebook, management of training jobs and models, as well as the visualization of work flows.

Model Arts