ZTE Releases Latest AI Server Supporting Large Model Training


On Sep 18, Chinese Internet Corpus 3.0 (120GB) was released at an AI security forum in Kunming, supporting AI development under central guidance.....
China has released 30 national AI standards, with 84 more in development, covering hardware, software, key tech, applications, and safety. The Standards Committee issued 10 new standards and initiated 48 projects last year.....
North American large CSPs remain the main driving force behind the demand for AI servers, supported by tier-2 data centers as well as sovereign cloud projects in the Middle East and Europe. Overall demand remains stable. Driven by the demand from North American CSPs and OEMs, it is expected that AI server shipments will continue to grow at double-digit rates in 2025. However, due to changes in the international situation, the year-over-year growth rate of global AI server shipments in 2025 has been revised downward to 24.3%.
At a recent video cloud technology conference, Volcano Engine unveiled a significant innovation: a video preprocessing solution for large model training. This technology has been successfully applied to the Doubao video generation model, marking a significant advancement in AI video generation technology. Volcano Engine's President, Tan Dai, emphasized that AIGC and multimodal technology are profoundly changing user experience. Leveraging experience from Douyin, Volcano Engine is actively exploring the integration of AI large models with video technology to provide comprehensive solutions for enterprises. Wang Yue, Head of Video Architecture at Douyin Group, pointed out that large model training faces numerous challenges.
Tencent Cloud recently launched an upgraded version of the Xing Mai Network 2.0, aiming to enhance the efficiency of large-scale model training. In the previous version, the synchronization communication time for the computation results of large models accounted for over 50% of the total, resulting in low efficiency. The new version of Xing Mai Network 2.0 has been upgraded in several aspects:1. Supports networking of up to 100,000 cards in a single cluster, doubling the scale, with a 60% improv