What is Intelligent Engine¶
Intelligent Engine is a cloud native AI computing platform developed by DaoCloud that can running on any K8s-based system. This innovative platform, known as Cloud Native AI Platform, offers a seamless integration of software and hardware for a superior AI computing experience. Intelligent Engine combines various computing powers, optimizes GPU performance, streamlines the scheduling and management of computing resources, and enhances computing efficiency. With its focus on reducing costs and simplifying AI development, Intelligent Engine provides optimized AI development frameworks that accelerate the implementation of AI applications across different industries.
Key Features
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Fully Managed Computing Resources
Powered by DCE (DaoCloud Enterprise), Intelligent Engine offers robust infrastructure capabilities to support large-scale computing clusters, heterogeneous GPUs, and comprehensive hosting services. It also includes integrated acceleration solutions like vGPU.
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Dataset Management
Intelligent Engine supports efficient dataset management during model development, with features such as dataset organization, multi-data source access, and dataset preloading. The underlying container storage engine ensures smooth and effective data processing.
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Development Environment Management
Intelligent Engine caters to the requirements of MLOps and LLMOps engineers by providing a range of development environments, including JupyterLab and upcoming support for VSCode. It allows for custom development environments and easy access to GPU, dataset, and other resources.
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Job Management
Intelligent Engine offers comprehensive job lifecycle management, enabling quick creation of jobs and support for popular job frameworks like Pytorch, TensorFlow, and PaddlePaddle. It includes various job scheduling options, such as single-machine, distributed, multi-node, and multi-GPU setups.
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GPU Management
Users can monitor GPU resources and usage through Intelligent Engine, with features for tracking current and historical job activities on GPUs. This facilitates GPU stress assessment and optimization.
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Queue Management
Intelligent Engine allows for the creation of queues and their association with workspaces to ensure efficient coordination and resource isolation within different clusters.
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