是说芯语·2026-01-29 02:29Core Viewpoint - Alibaba's semiconductor subsidiary, Pingtouge, has officially launched the high-end AI training and inference chip, Zhenwu 810E, marking a significant step in its AI chip strategy [1][3]. Group 1: Product Launch and Applications - The Zhenwu 810E chip has been deployed in multiple large-scale clusters on Alibaba Cloud, serving over 400 government and enterprise clients across various sectors, including energy, research, automotive, and internet [3]. - The chip is part of Alibaba's AI ecosystem, "Tongyun Ge," which integrates chip development, cloud services, and model algorithms, creating a comprehensive AI solution [3][4]. Group 2: Technical Specifications - Zhenwu 810E features a self-developed parallel computing architecture and ICN interconnect technology, equipped with 96GB HBM2e memory and a high interconnect bandwidth of 700GB/s [4]. - The chip's performance surpasses Nvidia's A800 and is on par with Nvidia's H20, with reports indicating that its upgraded version outperforms Nvidia's A100 [4]. Group 3: Core Advantages - The chip boasts six core advantages: fully self-developed architecture, high-performance computing power, strong interconnect capabilities, high usability, large-scale validation, and synergy between chip and cloud [5]. - Pingtouge's self-developed ICN technology is crucial for supporting large model training and inference, enabling efficient multi-card collaboration [5]. Group 4: Application Scenarios - Zhenwu 810E supports various application scenarios, including over 50 common models in autonomous driving, high-performance training capabilities, and optimization for large model inference [6]. - The chip has shown outstanding performance in multi-modal applications, providing cost-effective computing support for diverse scenarios [6]. Group 5: Strategic Development - Since the establishment of Alibaba Cloud in 2009 and Pingtouge in 2018, Alibaba has invested 17 years in strategic integration to complete the "Tongyun Ge" AI ecosystem [7]. - Pingtouge aims to innovate chip infrastructure for the AI era, focusing on data center chips and IoT chip development to support the digital and intelligent transformation [7].