北极雄芯GPU芯粒点亮

Core Viewpoint - The successful testing of the QM935-G1 chip marks a significant advancement in the automotive industry, particularly in smart cockpit and autonomous driving applications, driven by the increasing demand for high computational power and bandwidth due to large model deployments [1][3][10] Group 1: Chip Specifications and Capabilities - The QM935-G1 IVI Chiplet is designed for smart cockpits, featuring a GPU with a computing power of 1.3T FLOPS and a memory bandwidth of 51.2GB/s, supporting secure isolation for instrument and entertainment screens [1] - The Chiplet technology allows for modular design and integration, enabling flexible combinations of chiplets to meet diverse vehicle and user requirements, achieving a memory bandwidth of 128GB/s when combined with other chiplets [4] - The QM935-G1 can also serve as a co-processor, enhancing graphical rendering capabilities to address existing limitations in GPU performance for mature cockpit chipsets [5] Group 2: Industry Trends and Applications - The development of large models is driving the upgrade of smart cockpits and autonomous driving solutions, with applications in AI agents for cockpit domains and VLM-E2E and VLA routes for autonomous driving [3] - The integration of high bandwidth cockpit chips facilitates the deployment of AI large models (LLM) and more intelligent voice assistants, enabling offline functionality and complex multi-turn dialogues [8] - The company aims to become a service provider for AI infrastructure focused on large model applications, continuing to leverage Chiplet and near-memory computing technologies for cloud inference and vehicle intelligence solutions [10]