Baidu AI Cloud Case Studies 2025

Computing power resource pool expansion to meet rising AI workload demand.

Over 50P of domestic computing power resources, supporting inference (segmented cards for small models, whole cards for large models) and training workloads.

Supports the "14th Five-Year" digital strategy implementation across the group.

Lift developer productivity across a large, diversified enterprise engineering org.

Wenxin Quick Code (Baidu Comate) rolled out to 3000+ developers — code completion, generation, explanation, annotation, unit test generation, and bug finding.

Expected 20% of code generated by AI auxiliary.

Automate metallurgical industry analysis across metallography, surface defects, and material tracking.

A metallurgical industry large model platform built on a "process perception large model" for vision-driven quality and process control.

Metallographic Analysis MIOU ≥ 90%, PA ≥ 96%; Surface Defect Detection precision ≥ 95%, recall ≥ 94%, 2000 images in 100 seconds; Material Tracking MOTA ≥ 95%, MOTP ≥ 90%.

Accelerate aerodynamics simulation for rail transit design.

The "Zhuolun Large Model" on the CRRC MaaS platform, spanning NLP, CV, multimodal, and text-to-image capabilities.

The "Aerodynamics Simulation Large Model - Zhuolun Fengchi" cut simulation time from 24 hours to 10 seconds (single-machine).

Developer productivity at scale across a logistics technology organization.

Wenxin Quick Code for 1000+ developers, integrated with the enterprise's existing platforms and private domain knowledge.

Expected 20% of code generated by AI auxiliary daily, with significant R&D efficiency improvement.

Port logistics efficiency across complex multimodal operations.

The world's first port service large model — the Qingdao Port Ark TaaS Large Model — with six intelligent agent applications: ship owner butler, intelligent journey navigation, port encyclopedia, intelligent tracking, intelligent customs clearance, and intelligent travel inquiry.

Six agent applications in production covering the full port service journey.

Safety management across a distributed network of stations and business halls.

An intelligent video middle platform for safety management — 17 AI algorithms across 68 stations, 58 business halls, and 1023 video data streams.

Video patrol efficiency improved from 1-2 problems/day to 30+ events/day, manual efficiency up by 15+ times, monthly cumulative 985 event alarm work orders.