Early reports suggest Tesla’s latest FSD v13 demonstrates a significant performance difference between the company’s hardware platforms, with AI4-equipped vehicles showing markedly better results compared to their HW3 counterparts.
Sources familiar with internal testing indicate FSD v13 performs more smoothly and consistently on Tesla’s newer AI4 platform. This marks a shift from previous versions where performance remained relatively comparable across hardware generations.
The apparent performance disparity stems from FSD v13 being the first version developed primarily for HW4 architecture. Previous iterations focused on HW3 optimization, with HW4 essentially running in an emulation mode to maintain compatibility.
Currently, FSD v13 testing appears limited to Tesla employees, providing a controlled environment for evaluating the software’s capabilities across different hardware configurations. This restricted release allows Tesla to gather crucial performance data before wider deployment.
The emerging performance gap highlights Tesla’s gradual transition toward fully utilizing HW4’s enhanced capabilities:
- Improved processing power
- Enhanced sensor integration
- Advanced neural network performance
HW3 users may need to adjust their expectations as Tesla’s software development increasingly leverages AI4’s superior specifications. This transition mirrors similar patterns in computing, where newer software eventually outgrows older hardware capabilities.
Related Post
Tesla FSD 12.5.6.2: End-to-End Highway Stack and City Profiles Transform Autonomous Driving
Tesla Q3 2024 Earnings Call Reveals FSD Updates, MPI Improvements, and Expansion Plans
Tesla FSD v12.5.6.1: Completely End-to-End AI Technology Running on Both City Streets and Highway