DataCanvas Alaya NeW OS First to Pass China Academy’s LLM Inference Standard

Beijing, [Date] – DataCanvas Alaya NeW intelligent computing operating system, independently developed by DataCanvas, has achieved a significant milestone by becoming the first to pass the China Academy of Information and Communications Technology (CAICT) Large Model Inference Platform Technical Requirements standard assessment. This achievement follows DataCanvas Alaya NeW’s prior success in January, when it was also the first to pass the CAICT’s Large Model Computing Resource Scheduling Platform standard evaluation. These certifications solidify Alaya NeW’s position as a leading platform for large model deployment and application.

The CAICT, a leading research institute in China’s information and communications technology sector, has been closely monitoring the development of large model inference platform technology. Through its Artificial Intelligence Research Institute, the Key Laboratory of Artificial Intelligence Key Technologies and Application Evaluation of the Ministry of Industry and Information Technology, and the AI Infra Working Group of the China Artificial Intelligence Industry Development Alliance, the CAICT collaborated with over seventy organizations to develop the Technical Requirements for Large Model Inference Platforms standard.

This standard serves as a technical reference for developers of large model inference platforms and provides enterprises with a benchmark for platform selection. The goal is to promote the high-quality and large-scale application of large model deployment and inference.

The standard comprehensively outlines the functionality, performance, and stability requirements for large model inference platforms, focusing on deployment, inference, service, and management. It aims to achieve low latency, high throughput, scalability, ease of use, and cost-effectiveness. The standard includes 81 capability items, comprising 35 basic functions and 46 advanced functions, covering core areas such as model deployment, model inference, and platform service and management.

DataCanvas Alaya NeW’s successful completion of this rigorous assessment demonstrates its ability to meet the demanding requirements for large model inference platforms. This achievement underscores the platform’s capabilities in:

Precise Scheduling: Optimizing resource allocation for efficient inference.
Universal Application: Enabling widespread deployment and use of large models.

By achieving this industry-first certification, DataCanvas Alaya NeW is setting a new benchmark for practical application of large model inference platforms. This accomplishment signifies a crucial step towards democratizing access to advanced AI capabilities and accelerating the adoption of large models across various industries.

Conclusion:

DataCanvas Alaya NeW’s successful completion of the CAICT’s Large Model Inference Platform standard assessment marks a significant advancement in the field of intelligent computing. This achievement not only validates the platform’s technical capabilities but also highlights its potential to drive innovation and adoption of large models across various sectors. As the demand for AI-powered solutions continues to grow, platforms like DataCanvas Alaya NeW will play a critical role in enabling businesses to harness the power of large models and unlock new opportunities. Further research and development in this area will be crucial to address the evolving needs of the AI landscape and ensure the responsible and ethical deployment of these powerful technologies.

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