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Deep service: PCB board tomography detection (8-layer board fault location technology)
Features: Retired Server Data Destruction Authentication Service GPU Repair:
T E C H N O L O G Y
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2000万
Company investment
50+names
Technical staff
20+
Cooperative enterprise
500+
success cases
Server maintenance
|AI algorithm maintenance|
|GPU repair|
Professional maintenance of AI servers (GPU/TPU clusters), providing chip level repair, heat dissipation optimization, and environmental debugging. 7 × 24-hour response, original factory level testing equipment, fault repair speed increased by 60%, ensuring uninterrupted AI training.
Professional maintenance of various GPUs (game cards/AI computing cards), solving problems such as virtual soldering of graphics memory, power supply failures, and BIOS issues. Equipped with X-ray and thermal imaging equipment for precise detection, supporting individual and corporate customers, with no warranty issues and fast response
AI
Efficient data management
Intelligent warning
d a t a m a n a g e m e n t
Data center risk management needs to cover core risks such as hardware failures, network attacks, and natural disasters. Real time tracking of device status (temperature, load, etc.) through intelligent monitoring system, combined with AI predictive maintenance to reduce downtime probability. Deploy a dual active disaster recovery architecture to ensure business continuity; Strict access control+data encryption to prevent security threats. Regular stress testing and emergency drills have reduced risk response time by 60% and ensured 99.99% availability.
P r o d u c t s c a s e
Company Case
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Case 1: GPU chip level maintenance and AI predictive maintenance
Fault prediction: Based on AI driven picometer level electronic probes, real-time monitoring of 0.01mV level circuit noise in GPU boards is carried out. A three-dimensional diagnostic model is established by combining a ten-year maintenance case library to identify hidden dangers such as virtual soldering of video memory and capacitor bulging, with a prediction accuracy of 92%.
Chip level repair: Using BGA packaging replacement technology to repair GPU core desoldering, synchronously upgrading the thermal resistance coefficient of the heat dissipation module, reducing the peak temperature of computing power stuck in high load scenarios by 18 ℃.
Efficiency verification: A certain e-commerce IDC operation and maintenance team has successfully repaired over 2000 faulty RTX 3090Ti cards through this solution by 2024, reducing the single card repair cycle from 72 hours to 6 hours and achieving a computing power recovery rate of 100%
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AI predictive maintenance
AI predictive maintenance can reduce equipment failures by 70%, improve operational efficiency, and lower maintenance costs by 30%
Case 2: Intelligent Diagnosis of Power Failure in AI Algorithm Server
Exception capture: A server cluster of a scientific research institution triggered a GPU power alarm (error message "Power cables not connected"). Traditional manual troubleshooting took over 48 hours, and the AI operation and maintenance system identified the fault source as PDU (power distribution unit) interface oxidation through log analysis.
Dynamic response: trigger automated repair protocol: ① isolate the faulty node; ② Call a nanoscale circuit cleaning robot to process oxidized contacts; ③ Transfer tasks to a backup GPU cluster using Kubernetes elastic scheduling algorithm.
Cost optimization: This solution reduces the cost of single fault handling by 65% (from 87000 yuan to 30000 yuan), and avoids data interruption losses caused by power issues of over 12 million yuan throughout the year.
 Using federated learning technology, we trained an LSTM model with a fault prediction accuracy of 92.7% while protecting customer data privacy |
 The PUE value before (2023) and after (2025) transformation is 1.581.21, with a labor dependency rate of 1002% |
 Real time processing of 200+sensor data |
 Huawei Ascend AI helps establish a fault knowledge graph, covering 83 types of GPU defect modes |
News and Information
Development and Solutions in the IT Industry
Intelligent operation and maintenance, the future is here
When every fiber optic cable in the data center beats the pulse of AI, intelligent operation and maintenance is no longer a fantasy of the future, but a digital reality within reach
We have been moving forward
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