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ZTE Corporation , a global leading provider of integrated information and communication technology solutions, announced today that the company’s CEO, Xu Ziyang, has delivered keynote speeches at both the “AI First” session and the GTI Summit themed “5G-A×AI” at MWC Shanghai 2024. Mr. Xu shared ZTE’s practices and innovations in intelligent digitalization amidst the AI wave.
According to Mr. Xu, ZTE advocates focusing on four dimensions – digitalization, networking, intelligence, and low-carbon initiatives – to tackle current challenges and drive continuous innovation and development.
First, to break through technology bottlenecks, it’s crucial to strengthen research on architectures, algorithms, computing networks, and hardware-software synergy, thus improving AI training and inference efficiency.
Server-to-Server covers interconnects among intelligent computing clusters. In this regard, for example, ZTE has been fully collaborating with China Mobile to foster a robust industry ecosystem of Global Scheduling Ethernet , aiming to build a non-blocking, high-bandwidth, and ultra-low-latency network for the next-gen intelligent computing centers. In February, we participated in the GSE prototype interoperability test organized by China Mobile.
In terms of capability platforms, the solution adapts to mainstream frameworks such as PyTorch and TensorFlow, enabling automatic backend compilation and optimization. Also, it provides an end-to-end engineering toolkit for data processing as well as the development, training, optimization, evaluation, and deployment of models.
Through collaboration between chip manufacturers, ICT hardware manufacturers, application developers, integrators, and operators within the industry, we can grow stronger together, building a win-win business ecosystem.Focusing on customer value, ZTE provides a full-stack and full-scenario intelligent computing solution involving computing power, networks, capabilities, intelligence, and applications.
For capability enhancement, we have developed various capability platforms. ZTE TECS, our unified cloud management platform, supports heterogeneous resource management, training and inference job scheduling, and heterogeneous collective communication. Meanwhile, ZTE AIS, a training and inference platform, can be applied to data processing and development of large models, providing full-stack engineering toolkits and engines.
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