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Moli Ark (Gitee AI) is a co-creation platform for developers and enterprises, offering one-stop services including model hosting, inference, fine-tuning, deployment, and ...

Location:

China

Language:

Collection time:

2025-05-30

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Development Platforms Model Training # AI application development # AI Community # application engine # computing resources # model fine-tuning # model hosting # open-source models # Serverless API

模力方舟

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In today’s rapidly evolving AI landscape, developers and enterprises are seeking efficient and convenient ways to build and deploy AI applications. Moli Ark (Gitee AI) is designed to meet this need, offering a one-stop service that encompasses model hosting, inference, fine-tuning, deployment, and application, enabling users to seamlessly develop and implement AI solutions.

Model Hosting: Utilizing Git repository technology, Moli Ark provides fast and stable model hosting services, allowing users to easily share and download open-source models, datasets, and AI applications.

Serverless API: Offers ready-to-use large model inference API services, supporting various tasks such as text generation, image processing, and speech recognition, without the need for users to manage underlying hardware or servers.

Application Engine: Supports rapid construction and deployment of AI applications through tools like Streamlit and Gradio, requiring no complex technical background or extensive programming knowledge.

Model Fine-Tuning: Provides user-friendly model fine-tuning capabilities, enabling users to select models, datasets, and computing resources to start fine-tuning models tailored to specific scenarios.

Computing Resources: Seamlessly integrates with various computing platforms, including NVIDIA, Ascend, Tianzhuxin, and Sugon, to meet diverse user needs.

Rich Open-Source Models: The platform aggregates the latest and most popular AI models, covering a wide range of application areas to meet diverse user needs.

One-Stop Service: Offers a comprehensive service from model hosting, inference, fine-tuning, deployment to application, lowering the development threshold for users.

Diverse Computing Resources: Supports multiple computing platforms, allowing users to choose suitable computing resources based on their needs to enhance model inference performance.

Active Community: Brings together numerous AI experts and developers, providing detailed documentation and tutorials to help users quickly get started and resolve issues.