Apple's self-driving car program never succeeded, but the need for powerful on-device AI processing during its development led to the creation of advanced AI chips. Although the car processor was never completed, these chips became a significant legacy.
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Although Apple's self-driving car project never materialized, its demand for AI processing spurred the creation of the Neural Engine and prompted the company to accelerate development of the M7 Ultra chip, which supports up to 1.5TB of memory, laying the foundation for AI servers.
Apple's secret self-driving car project 'Titan' was ultimately canceled, but during development it gave rise to a key AI technology. According to Bloomberg's Mark Gurman, early in the project, Apple realized it needed powerful on-device AI processing. To that end, the team began developing a dedicated chip. Although the automotive processor was never completed, the work evolved into the Neural Engine—now the core of Apple's AI chips.
The birth of the Neural Engine marked a strategic shift in Apple's AI hardware. The computing architecture originally designed for driver assistance was eventually ported to mobile devices and desktop chips.
The Neural Engine first appeared in the iPhone X in 2017, powered by the A11 Bionic chip. At the time, it was primarily used for computer vision features like Face ID, Animoji, and augmented reality applications. Since then, Apple has brought it to subsequent A-series chips, and in 2020 it entered the desktop market with the M1 chip.
By processing AI tasks on-device, Apple can emphasize its privacy advantage—less data uploaded to the cloud. Although it lags behind Google and Microsoft in AI software services, its hardware-first strategy has laid the foundation for differentiation.
According to Gurman, Apple has skipped the high-end versions of the M6 series (Pro, Max, and Ultra) and is concentrating resources on the development of the M7 chip. The M7 is expected to debut in the first half of 2027, featuring a significantly upgraded Neural Engine. Particularly noteworthy is the M7 Ultra: it will support up to 1.5TB of RAM and become the computing core of Apple's new server products.
This decision indicates that Apple is prioritizing AI hardware. The lessons learned from the car project are being translated into server-side capabilities, competing with mainstream AI vendors in the cloud inference market.
This article's information mainly comes from Bloomberg's Mark Gurman newsletter, as cited by The Verge. Gurman has a high accuracy record for Apple scoops. Details such as chip specifications await official confirmation.
Apple's failure in the self-driving car project was not in vain; the Neural Engine technology it spawned has become the cornerstone of its AI hardware. By accelerating the development of the M7 Ultra, Apple is trying to establish a new leadership position in AI hardware.
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