aiXplain
The premier operating system for building, benchmarking, and deploying AI solutions at scale.

The Open-Source Model-as-a-Service (MaaS) ecosystem for sovereign and localized AI deployment.
ModelScope, pioneered by Alibaba DAMO Academy, represents the definitive evolution of the 'Model-as-a-Service' (MaaS) paradigm. By 2026, it has emerged as the primary alternative to Hugging Face, specifically dominating the Asia-Pacific market and sovereign AI sectors. The platform provides a comprehensive infrastructure for model hosting, versioning, and evaluation across diverse domains including NLP, CV, Audio, and Multimodal tasks. Technically, ModelScope is distinguished by its seamless integration with Alibaba Cloud's PAI (Platform for AI) and its 'Swift' library, which facilitates efficient Parameter-Efficient Fine-Tuning (PEFT) for large-scale models like Qwen. Its architecture is designed to abstract the complexity of deep learning frameworks, allowing developers to invoke state-of-the-art models with a standardized 'Pipeline' API. As data sovereignty becomes a critical enterprise requirement in 2026, ModelScope’s ability to facilitate localized fine-tuning and private-cloud deployment positions it as a vital tool for organizations seeking to maintain control over their intellectual property while leveraging cutting-edge transformer and diffusion architectures.
A high-performance training framework that supports 200+ LLMs and 20+ AIGC models with optimized PEFT methods.
The premier operating system for building, benchmarking, and deploying AI solutions at scale.
The premier open-source generative AI model repository and creative ecosystem for Stable Diffusion and Flux.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
An automated data processing system for cleaning and filtering massive datasets for pre-training LLMs.
Standardized RESTful endpoints for model inference across different frameworks (PyTorch, TensorFlow, JAX).
Automated benchmarks for evaluating models on vision-language, audio-text, and code generation tasks.
Native support for AWQ, GPTQ, and GGUF quantization techniques.
Integrated Gradio/Streamlit hosting for showcasing model capabilities instantly.
Localization tools for ensuring model outputs align with regional regulatory frameworks.
General-purpose models lack industry-specific terminology in specialized languages.
Registry Updated:2/7/2026
Deploy via PAI-EAS for low-latency inference.
High costs and long timelines for creating marketing video assets.
Difficulty in handling low-resource languages in customer queries.