"六边形战士"GPU公司完成亿元新融资

Core Viewpoint - The article highlights the recent developments of Zhuhai Chip Power Technology Co., Ltd. (Chip Power Technology), including its successful B2 financing round and advancements in AI chip technology, particularly the RPP architecture, which is designed for parallel computing and has been adapted for mainstream open-source large models [2][4][6]. Group 1: Financing and Growth - Chip Power Technology completed nearly 100 million yuan in B2 financing led by Feitu Venture Capital, with funds aimed at advancing RPP chip industrialization, core technology upgrades, and expanding into edge computing and AI chip inference markets [2]. - The company previously secured several million yuan in B1 financing in March, led by Changshi Capital, indicating a strong interest from investors in its technology and market potential [2]. Group 2: Technology and Product Development - After eight years of continuous R&D and product iteration, Chip Power Technology has established a comprehensive AI computing product matrix [3]. - The core technology, RPP (Reconfigurable Parallel Processor) architecture, is designed specifically for parallel computing, offering high energy efficiency and compatibility with CUDA programming language, facilitating rapid deployment of edge AI applications [4]. - The RPP-R8 chip, based on the RPP architecture, has been commercialized in various fields such as AI PCs, medical testing, and storage servers, and has formed deep partnerships with leading companies like Lenovo [6]. Group 3: Product Specifications - The RPP-R8 AE7100E chip is noted for being the smallest and thinnest GPGPU in the industry, with a power consumption of under 10W, making it suitable for terminal and edge computing devices [6]. - The chip measures 17mm x 17mm, and the integrated M.2 acceleration card is comparable in size to half a business card, featuring up to 32 TOPS of computing power and 60GB/s memory bandwidth [6]. - The M.2 acceleration card supports major open-source models such as Qwen, Llama, and Stable Diffusion, demonstrating its versatility in AI applications [6]. Group 4: Future Directions - Following the recent financing, Chip Power Technology plans to focus on developing high-end general-purpose chips with proprietary rights in China [7].