Project Background
Guangzhou Guojiao Runwan Transportation Information Co., Ltd. deeply integrates transportation and artificial intelligence. It is a practical enterprise with rich industry experience, guided by industry management needs, helping users formulate long-term AI operation and development strategies, and building an artificial intelligence ecosystem. The company's products combine cutting-edge artificial intelligence technologies such as computer vision, speech, lightning vision fusion, and AI expert decision support to empower the construction of an artificial intelligence ecosystem in the transportation industry.
Challenge pain points
Shortage of computing power and insufficient system stability
The insufficient computing power of the original hardware and the insufficient graphics memory caused project delays during the development process. Upgrading to 5090 requires stable power consumption to prevent downtime
Calculation efficiency bottleneck
The original GPU memory bandwidth and core computing performance of the node are gradually unable to meet the increasing demands for accuracy and computing performance
Supplier reliability
The maturity of the solution and the insufficient operational skills of the supplier prevent users from receiving timely and standardized support in the event of IT problems
Solution
Computing power upgrade and energy efficiency optimization plan
Deploy the Shuju Hongxin HG8480X server, equipped with 8 NVIDIA 5090 32GB chips. The system supports stable computing power output of over 600W per card under high computing power conditions
Latest GPU technology
By using HBM3e GPU memory, AI performance can be improved by up to 45%
More tags can be generated within a specific time frame
Senior team and service capability
Shuju Red Core provides experimental verification to ensure the accuracy of the plan
Experienced team provides backend support, 7 * 24H response service is comfortable to use
Project Benefits
By upgrading computing power, adopting the latest GPU technology, and ensuring the support of a senior team, we aim to address pain points related to computing power, efficiency, and suppliers, improve computing power output and performance, obtain accurate solutions and timely operation and maintenance, and assist in the efficient progress of projects.
Customer reviews
The solution provided by Shuju Hongxin has significantly improved our research and development efficiency, while reducing data center maintenance costs