Why Tesla Must Retrofit Four Million Cars

The technological evolution and competitive landscape of Tesla's self-driving hardware. While Hardware 3 has been officially deemed incapable of supporting unsupervised autonomy due to memory constraints, Tesla is introducing a series of iterative upgrades, including AI4.1 (AI4 Plus) and AI4.5, to bridge the gap until the AI5 chip arrives in 2027. These updates focus on doubling RAM capacity and increasing memory bandwidth to manage the massive data flow required for vision-based neural networks. Despite these internal advancements, Tesla faces stiff competition from NVIDIA’s Thor processor, which currently offers superior raw compute power and modern server-grade architecture. Consequently, Tesla is navigating a complex transition that involves potentially retrofitting millions of older vehicles while shifting its most advanced future silicon toward robotics and data centers.https://www.skool.com/ai-and-automation-3750/about