What is AladdinEdu
AladdinEdu is a high-performance GPU computing power service platform under Jiuzhang Cloud, aimed at university research scenarios. The platform offers a variety of packages and supports DC100 (Hopper) GPUs, featuring large VRAM and high computing power, making it suitable for large model training. The platform adopts a pay-per-degree (DCU) model, offers flexible billing, supports a Serverless architecture, and can start and elastically schedule GPU resources within seconds. The native AladdinEdu plugin ensures precise billing, and resources are automatically released when tasks end. AladdinEdu supports seamless compatibility with multiple IDEs, is suitable for university large model development and artificial intelligence application development, and helps researchers complete tasks efficiently.
Main features of AladdinEdu
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High-performance computing resources: Provides top-configuration GPU resources, such as DC100 and DC200 GPUs, ensuring an ultimate performance experience.
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Massive GPU resource pool: Features a GPU resource pool at the ten-thousand-card level, which users can invoke at any time to meet large-scale parallel computing needs.
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Flexible billing model: Pay-as-you-go billing, charging only when the GPU is actually running, and billing stops immediately after task completion, improving resource utilization.
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Rich system images: Provides a variety of preinstalled system images, including Ubuntu, Python, and PyTorch, making it convenient for users to get started quickly.
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Multi-IDE support: Supports a variety of integrated development environments (IDEs), such as VS Code and Cursor, improving development efficiency.
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AI teaching and research support: Provides AI teaching and research support for university users, including an intelligent academic companion and school-level knowledge base construction.
How to use AladdinEdu
- Visit the official website: Visit the AladdinEdu official website https://www.aladdinedu.com/。
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Install the plugin: Install the Aladdin plugin in the development environment to access platform services.
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Log in to the account: Log in to the AladdinEdu platform with personal account information.
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Create a new workspace: Create a new workspace (workshop) to start a project.
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Select an image: Select or configure an applicable coding environment image as needed.
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Upload files: Upload project files to the workspace for convenient coding and debugging.
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Code and debug: Write code in the workspace, perform debugging, and configure the environment.
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Install new packages: If necessary, install additional software packages to support project requirements.
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Save the environment: Save the current environment configuration so that the working state can be quickly restored later.
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Run scripts: Execute the written scripts to start computing tasks.
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Choose the run method: Choose to run Python or Shell scripts according to task requirements.
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Configure the GPU environment: Select an appropriate GPU runtime environment image and resource configuration.
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Submit the task: Submit the configured task to the platform to begin GPU-accelerated computing.
AladdinEdu official website address
- Official website address：https://www.aladdinedu.com/
Application scenarios of AladdinEdu
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Deep learning research: AladdinEdu provides high-performance GPU resources, making it suitable for training and researching deep learning models.
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Big Data Processing: The platform supports the processing and analysis of large-scale datasets, making it suitable for the field of data science.
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Artificial Intelligence Development: It provides the necessary computing power support for the development of artificial intelligence applications and accelerates algorithm design and model optimization.
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Education and Teaching: Universities and research institutions use AladdinEdu for teaching experiments and research training.
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Competitions and Projects: Students and researchers use the platform's resources to participate in various programming and artificial intelligence competitions.