DeepFlow
An efficient integrated management mechanism for AI model development to improve the efficiency. DeepFlow is provided with functions including AI model development, deployment management, monitor, parameters adjustment, and auto modeling.
An efficient integrated management mechanism for AI model development to improve the efficiency. DeepFlow is provided with functions including AI model development, deployment management, monitor, parameters adjustment, and auto modeling.
DeepFlow is an One-stop AI platform, from Data Acquisition to Inferencing. DeepFlow covers the pipeline of developing AI/ML projects. In just three steps, domain experts can quickly complete machine learning modeling. No need for AI experts, Improve Efficiency and Models can be deployed quickly. DeepFlow has Resource Management, Collaborative Workspace and Model management etc., to help enterprises manage various AI projects and resources, and shorten the process of adoption AI.
DeepFlow is an automated AI platform that has actually landed in different industries. Such as government agencies, medical centers and manufacturing. It has two important core technologies: AutoML and MLOps. AutoML enables developers or domain experts with limited machine learning expertise to train high accuracy models specific to their business needs. Building their own custom machine learning model within 3 steps. MLOps could help developers or domain expert easily manage, deploy and monitor their model.
Display CPU and GPU utilization, temperature and reservation status, and view information such as resource reservation status.
Each workspace is an independent project for multi-person collaboration and enhanced data security.
No need to write code, just upload the data to automatically generate the best model.
Models can be deployed to public cloud/private cloud/hybrid cloud to quickly provide model online services.
Model programs can be executed regularly every day, such as applications such as automatic data collection.
You can choose the app kit you want to use to improve the efficiency of AI development.