Part 5/11:
Tesla’s approach diverges from tradition heavily reliant on supply chains and distributed manufacturing. Instead, Musk advocates for "reality engineering"—a holistic method where the entire value chain is engineered with the end goal in mind: creating seamless, scalable products like robotaxis, Optimus humanoid robots, and the Dojo supercomputer.
Tesla converges multiple AI applications—such as inference for robots, autonomous driving, and AI training—into a single, optimized chip. This integration ensures that the chips are not only efficient but tailored precisely for Tesla’s end products. The chips are designed to handle multiple roles simultaneously, enabling rapid scaling and rapid iteration for a variety of applications.