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国产芯片新气象
Jing Ji Guan Cha Wang· 2025-12-06 13:57
11月22日,在西宁一场高校电竞比赛现场,一台外观低调的台式电脑正在运行高负载的大型电脑游戏《黑神话:悟空》。 这台机器并未搭载英特尔或AMD(超威半导体)的处理器,但实时画面帧率(指每秒钟连续显示的图像的数量)却维持在极高水平。"在测试中,《无畏契 约》的帧率接近200帧,《黑神话:悟空》的帧率接近300帧。"青岛雷神科技股份有限公司(下称"雷神科技")台式机产品总监丁国彦在接受经济观察报采 访时分享了这两个大型电脑游戏的实测数据,并指出上述设备搭载的是国产海光C86处理器。 经济观察报记者 郑晨烨 这个数据具有标志性意义。对主流大型竞技游戏而言,60帧通常被视为画面流畅的"及格线"。超过144帧乃至达到200帧,意味着硬件性能已能够满足职业电 竞场景下对毫秒级响应速度的严苛需求。 类似的突破在2025年还有很多。在汽车制造端,11月19日下线的广汽昊铂GT"攀登版",其智能座舱与音频处理完全由瑞芯微(603893.SH)的芯片驱动,实 现了芯片设计的100%国产化。在消费电子端,长江存储科技有限责任公司(下称"长江存储")最新推出的固态硬盘产品,在电商平台占据着销量排行榜前 列。在算力服务端,中科曙光(6 ...
瑞芯微:RK3588M芯片方案支持轻量级辅助驾驶
Xin Lang Cai Jing· 2025-10-17 07:41
Core Insights - The company currently offers the RK3588M chip solution, which supports lightweight assisted driving, with plans to launch higher-performance RK3668M and RK3688M chips for robust cockpit solutions [1] - The company's edge computing co-processor series can serve as the computational center for automotive cockpits, capable of deploying models with up to 7 billion parameters, supporting multimodal applications [1] - The AI computing power provided by the company's solutions enhances scenarios such as smart cockpits, in-vehicle and external vehicle vision, and in-vehicle audio [1]
瑞芯微(603893.SH):目前的RK3588M芯片方案可支持轻量级辅助驾驶
Ge Long Hui· 2025-10-17 07:39
Core Viewpoint - The company, Rockchip (瑞芯微), is advancing its chip solutions for automotive applications, focusing on enhancing in-car experiences through AI capabilities [1] Group 1: Product Development - The current RK3588M chip solution supports lightweight assisted driving [1] - Future chip models, RK3668M and RK3688M, are set to provide higher performance for customers, enhancing cockpit solutions [1] Group 2: AI Capabilities - The company's edge computing co-processor series can serve as the computational center for automotive cockpits [1] - It supports deployment of models with up to 7 billion parameters, enabling multi-modal capabilities [1] - This technology is aimed at enhancing AI computing power for smart cockpits, in-car and external vehicle vision, and in-car audio scenarios [1]