Documentation

Industry Overview

AI drives smart manufacturing scale, as large models shift from supporting to core industrial applications. Built on self-developed AI infrastructure, Atlas manufacturing solutions provide both customers and partners with full-cycle support of large model training and inference. They also enable AI applications to cover the entire value chain - from R&D, production, security management, supply chain, marketing, to customer service - to help manufacturers enhance quality & efficiency and reduce costs & inventory.

Challenges

R&D paradigms require a shift.
R&D remains linear and siloed, requiring a shift from human-led design to human-machine collaboration.
Equipment failures' detection is very slow.
Production equipment monitoring, including status, procedures & faults, relies on manual checks and reactive fixes, leading to inefficient awareness.
Customer service relies on manual labor.
Pre-sales consulting, fault reporting, and technical guidance require heavy manual labor, creating bottlenecks in both service efficiency and customer experience.

Solutions

Solution Highlights

Manufacturing
More efficient R&D iteration
Building a new R&D paradigm like "demand sensing → intelligent generation → rapid validation → continuous optimization".
"0" failure for core equipment
Establish equipment's key capabilities including autonomous fault perception, diagnosis, and adjustment.
More human-centric customer service
Natural language dialogue and multimodal interaction enable more personalized and human-centric service experiences.

Use Cases

M Group
M Group leverages AI to enhance operational efficiency, innovate business models, and upgrade commercial paradigms. Up to now, it has covered over 158 core scenarios. Atlas AI servers and SuperPoDs provide robust support for M Group's large model training and inference deployment. Through joint optimization of computing efficiency, training performance of multiple models has improved by 1.5 to 3 times, accelerating the implementation of their AIGC strategy.

Ecosystem Partners