Core Viewpoint - The article discusses the performance and capabilities of NVIDIA's Thor chip, particularly in relation to its TOPS (Tera Operations Per Second) output under different precision formats, highlighting discrepancies between advertised and actual performance metrics [1][5]. Group 1: Chip Performance - NVIDIA's Thor chip was initially advertised to deliver 700 TOPS, but the actual performance is closer to 500 TOPS after several adjustments [1]. - The performance of the Thor-U chip varies significantly based on the precision format used; it can achieve 700 TOPS in INT8 and FP8 mixed precision, while it can reach 1400 TOPS in FP4 precision [5][4]. - The Thor-X chip has a similar performance variation, achieving 1000 TOPS in FP8, 500 TOPS in FP16, and 2000 TOPS in FP4 [5]. Group 2: Implications for Automotive Industry - Li Auto's VLA model utilizes a mixed precision approach (INT8 and FP8) to optimize performance, aiming to leverage the Thor-U chip's capabilities for faster response times [2][3]. - The automotive industry is increasingly focusing on low precision inference models to enhance processing speed, which requires advanced engineering capabilities [2]. - The shift towards FP4 precision in future models indicates a trend towards maximizing chip performance in the automotive sector [5].