TI-ONE offers customers both technical and business values.
Technical Values
Highly available GPU distributed cluster servers in the cloud meet the performance requirements of large-scale deep learning model training and support purchasing and use at any time.
The GPU-based distributed machine learning platform is compatible with mainstream open-source machine learning frameworks such as TensorFlow, Pytorch, PySpark, etc. Users can flexibly define algorithmic modules on the platform.
Business Values
TI-ONE optimizes deep learning model training algorithms on GPU distributed cluster servers, which can significantly improve training speed and thus shorten model training time.
With TI-ONE, users can save time on building machine learning platforms and managing physical resources, and focus on more business-value modeling work.
The one-click model deployment function provided by the platform allows users to seamlessly connect the trained models with the actual scenarios and business, while the gray scale upgrade and traffic distribution function of the service version can help users flexibly upgrade and release operations in the actual business, significantly reducing the risk of version switching.