DTCT showcased at the 3rd China Standardization Conference: Driving the Future of Intelligent Computing with Standards, Empowering the Implementation of AI Industrialization,请登录后台后到SEO选项里设置网页标题

Abstract

On July 3rd, the 'Artificial Intelligence and Standardization Sub-forum' of the 3rd China Standardization Conference was held in Ningbo. As an important organizing unit and industry representative of this sub-forum, DTCT (Detasent) participated deeply in the conference, showcasing its latest achievements in artificial intelligence infrastructure, standardization practices, and AI application implementation to nearly 300 guests from government, research institutions, universities, and various sectors of the industry chain.

Centered on the theme of 'Coordinated Development of Artificial Intelligence and Standardization', this sub-forum gathered more than ten authoritative experts from the Chinese Academy of Engineering, China Academy of Information and Communications Technology, China Electronics Standardization Institute, China Southern Power Grid, Institute of Industrial Process Measurement and Control, and other institutions. High-level discussions were carried out on cutting-edge topics including standard system construction in the agent era, AI standardization practices, intelligent laboratories, and AI applications for power industries.

During the keynote session, Mei Jiyun, Director of the Artificial Intelligence Department at Detasent, delivered a report titled A Practical Path to Driving Enterprise Computing Supply, AI Application Rollout and Organizational Innovation through Standards. He pointed out that large models are moving from the 'technology boom phase' to the 'industrial implementation phase'. The gap between computing supply, platform architecture and business scenarios is the primary area to be broken through by standardization. Standardization shall 'stay close to AI intelligence injection points', covering energy efficiency and interface specifications for underlying heterogeneous computing resources, as well as building scenario-based standard systems for upper-level industrial applications. He shared Detasent’s standardization practices in liquid-cooled intelligent computing all-in-one machines, modular data centers, AI computing platforms and agent development platforms, drawing great attention from participating experts.

During the event, Detasent displayed the full DTCT-AIDC product portfolio, covering multi-level computing solutions ranging from edge inference Nano models to thousand-GPU Ultra clusters. Highlights included cold-plate liquid cooling technology, modular integrated architecture, and standardized AI use cases for government, police, healthcare, education, agriculture and other industries.

Among them, the Edge Computing-based 'Intelligent Police Multi-agent Collaborative Scheduling System' and 'Safety Management Solution for Small & Scattered Construction Sites' sparked heated discussions among guests. Mei Jiyun emphasized: “AI cannot exist in a vacuum. Every Detasent product addresses real pain points in business scenarios, and standardization is our core lever to upgrade capabilities from project-level deployment to product-level mass delivery.”

Beyond hardware products, Detasent also presented its explorations in AI talent training and organizational innovation. Jointly developed with universities, modular training courses are available covering 'Green Intelligent Computing O&M Training', 'Embodied Intelligence Training' and 'Agent Development Training'. Adopting the 'OPC Base + Proof-of-Concept Center' model, the company promotes the concepts of 'AI-native organization' and 'one-person company', making standardization a new common language for industrial collaboration and talent supply.

Looking ahead, Detasent will continue cooperating with governments, industry associations and industrial partners to deepen standardization of intelligent computing infrastructure, formulation of standards for industrial AI applications and development of talent training standard systems, helping build a new landscape featuring open, collaborative and efficient AI standardization.