Summary:
1. ZTE is at the forefront of intelligent computing in data centers, integrating AI, energy efficiency, automation, and open infrastructure.
2. The company focuses on evolving infrastructure to support AI training and inference, emphasizing scale, flexibility, and end-to-end data visibility.
3. ZTE addresses power density, energy efficiency, intelligent automation, resilience, and hybrid/multi-cloud environments to provide open, integrated infrastructure for deploying AI at scale sustainably.
Article:
ZTE is leading the way in the evolution of intelligent computing within data centers, with a focus on integrating various components such as AI, energy efficiency, automation, and open infrastructure. Mr. Wang Quang, VP of ZTE Corporation, highlights the company’s commitment to building scalable, resilient, and sustainable data centers through innovative approaches.
In defining intelligent computing for modern data centers, ZTE emphasizes the interconnectedness of computing, networking, storage, and energy. This holistic approach ensures that AI continuously optimizes the use of resources, creating a dynamic and efficient system that adapts to real-time demands.
ZTE’s infrastructure is designed to support AI training and inference seamlessly, with a focus on scalability, flexibility, and end-to-end data visibility. The company’s approach to accelerated and heterogeneous computing leverages GPUs, specialized accelerators, and CPUs within a unified ecosystem, promoting performance, efficiency, and long-term flexibility.
Integration of compute, storage, and networking is a core strategy for ZTE, with high-performance servers, lossless networks, and distributed storage tightly coupled for optimal performance. The company’s solutions also address power density and energy efficiency through advanced cooling technologies and AI-driven energy management.
Intelligent automation plays a crucial role in ZTE’s operations, ensuring dynamic workload placement, energy management, and predictive maintenance. This self-optimizing approach enhances performance, energy efficiency, and reliability in real-time, creating a seamless and efficient data center environment.
ZTE’s commitment to resilience for mission-critical AI is evident through hardware robustness, software-defined mechanisms, and AI-driven operations. The company’s solutions support hybrid and multi-cloud environments, enabling seamless workload migration and centralized orchestration across diverse platforms.
Looking ahead, ZTE anticipates major architectural shifts in the next three to five years, focusing on disaggregated and composable infrastructure, AI-native design, intelligent edge data centers, and energy-aware designs. By delivering open, integrated infrastructure that scales from core to edge, ZTE differentiates itself globally as a leader in deploying AI at scale efficiently, flexibly, and sustainably.
