Development and Ecosystem Layer
Master the Thriving Future of AI with AI-Stack
AI development is at your fingertips!
Based on Kubernetes and Docker, AI-Stack provides an efficient and intuitive work environment, allowing developers to focus on the design, training, experimentation, and deployment of models. AI-Stack integrates various industry-standard artificial neural networks (ANN) and machine learning frameworks and offers a rich set of development tools, supporting the entire process from data preprocessing to model deployment. Whether you are working locally or in the cloud, we ensure a consistent development experience.
Multi-Framework Support
Comprehensive supports mainstream machine learning frameworks such as TensorFlow, PyTorch, Jupyter, Scikit, and Chainer.
Convenient Environment Configuration
Quickly set up and manage your development environment, saving time and effort.
Workflow Automation
AI-Stack enhances your development efficiency through automation, simplifying the model training and deployment process.
Highly Scalable AI Development Platform
Seamlessly integrate with various third-party tools and platforms. Connect with a wide range of databases, data analytics tools, and cloud service platforms. Support the storage of model data in different formats and frameworks, helping you build comprehensive machine learning solutions.
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Ecosystem Layers