Elon Musk Declares War on Nvidia: Tesla Aims to Challenge AI Chip Dominance with Dojo 3 and AI5 Chip

Tesla CEO Elon Musk has formally declared a challenge against AI chip giants Nvidia (NVDA-US) and AMD (AMD-US). With the AI5 chip now in full development and the Dojo 3 project officially revived, Tesla's hardware upgrade battle, described by Musk as critical to the company's survival, is underway. The AI5 chip boasts a 50-fold performance increase over its predecessor, AI4 (HW4.0), with 10 times the raw compute power and nine times the memory capacity. Tesla's engineering team has abandoned traditional GPUs and image signal processors (ISPs), opting instead for a co-designed software-hardware approach. Musk claims the AI5 chip achieves two to three times the efficiency per watt compared to Nvidia's latest Blackwell chip, while costing just 10% of it. The chip is being manufactured by Samsung (2nm) and TSMC (3nm), with Musk predicting it will become the world's highest-volume AI chip. Previously, Tesla's AI development suffered from inefficiencies due to a "dual-track" system, where vehicle-based AI4 inference chips operated separately from cloud-based D1 training chips. This fragmented architecture diluted top talent and led to the cancellation of the Dojo 2 project. Now, Dojo 3 revives under a unified architecture, leveraging the AI5 chip and future iterations for computing clusters. Musk has mandated a chip iteration cycle every nine months, faster than Nvidia's annual update. Tesla's breakthrough lies in mathematical innovation. Its new patent reveals a "Mixed-Precision Bridge" technology that reduces data to 8-bit channels using logarithmic transformations and pre-computation tables. Through algorithms like Taylor series expansion, the system restores near 32-bit precision in computation cores. This "mathematical cheat code" doubles effective bandwidth without adding physical circuitry, addressing key challenges in autonomous driving, such as object persistence.