In recent years, with the booming development of artificial intelligence technology, data center networks are facing unprecedented challenges. In order to meet these challenges and provide a solid infrastructure for AI applications, Huawei has innovatively launched the Galaxy AI high-compute and efficient data center network solution. Recently, the solution successfully passed the strict evaluation of the key capability testing specifications for intelligent computing data center networks based on strong computing power, and won the five-star rating, becoming the first solution in China to win this honor, fully demonstrating Huawei’s leading strength in the field of intelligent computing networks.
This certification is conducted by an authoritative organization and aims to evaluate the critical capabilities of data center networks in meeting the needs of AI computing power. In rigorous testing, Huawei Galaxy AI high-compute data center network solution performed well in a number of core indicators, including:
- Before training network start capability: Complete network deployment quickly and efficiently, preparing for large-scale AI training.
- Single-task exclusively occupy model training and inference performance in fragmented environments: Ensure high-speed and stable operation of AI model training and inference under sufficient resources.
- Model training and inference performance in a fragmented environment of multi-task competition: Even when resources are limited and multi-task concurrency, the training and inference efficiency of AI models can be guaranteed, reflecting the network’s resource scheduling and optimization capabilities.
- High-reliable and reliable visual operation and maintenance capabilities based on AI task level: Through AI, operation and maintenance can be empowered, real-time monitoring of network status and rapid location of faults can be achieved to ensure high availability of the network.
- Security protection capability: Provides comprehensive security protection mechanisms to protect data center networks from various security threats.
These excellent performance indicators fully prove the strong adaptability and stability of Huawei Galaxy AI high-compute data center network solution in the face of complex AI application scenarios. It is worth noting that maintaining high performance in a fragmented environment of multi-task competition reflects Huawei’s efficient utilization of resources and intelligent scheduling capabilities, which is crucial to reducing operational costs and improving resource utilization.
Li Jiangao, vice president of Huawei’s data communication product line data center network field, said at the certification ceremony that this certification is an affirmation of Huawei’s technological leadership and an outlook for future cooperation. Huawei will continue to increase its R&D investment in the field of data center networks, work with industry partners to jointly promote the upgrade of data center networks to intelligence, and accelerate the digital transformation of enterprises.
Guo Liang, chief engineer of the Yunda Institute of the Institute of Information and Communications Technology and the head of the ODCC new technology and testing working group, also highly praised Huawei’s plan, and pointed out that it has set a new benchmark for the industry and provided a reference for the construction of the intelligent computing center network. This evaluation highlights the demonstration effect of Huawei’s solution and is expected to promote technological progress in the field of intelligent computing networks in the entire industry.
The launch of Huawei Galaxy AI high-computing and efficiency data center network solution aims to build a data center network with larger computing power scale, higher computing power efficiency and higher computing power availability for enterprises, thereby helping enterprises gain competitive advantages in the AI era. The successful certification of this solution is not only a recognition of Huawei’s own technological strength, but also provides feasible solutions for the industry, which is expected to accelerate the popularization and application of AI technology and inject new impetus into the development of the digital economy.
