Apple’s self-driving car project, known internally as Titan, was cancelled in 2024 after a decade of development and an estimated $10 billion in investment. But the project that Tim Cook once called “the mother of all AI projects” may have left behind something more valuable than a prototype vehicle: the technological foundation for Apple’s next generation of AI-focused processors.
According to Bloomberg’s Mark Gurman, Apple is accelerating development of the M7 Ultra chip, which is being designed to support up to 1.5 terabytes of unified memory, roughly double the capacity planned for the M5 Ultra and matching the highest RAM configuration available on the 2019 Intel-based Mac Pro. The M7 Ultra Mac Studio is expected in 2028, though Gurman noted that whether Apple ultimately ships a 1.5 TB configuration “will depend on the state of the industry,” given ongoing memory-chip shortages.
The connection to Apple’s abandoned car project is not coincidental. When the Titan project was shut down, key personnel were reassigned to the company’s AI and silicon engineering teams under John Giannandrea, Apple’s head of machine learning and AI strategy. AppleInsider, which had argued at the time that the car research would pay dividends, noted that the car was always fundamentally an AI project, autonomous driving at scale required processing massive sensor data streams in real time, a problem that shares significant architectural challenges with large-scale AI inference.
Custom silicon developed for the car was reportedly equivalent to four M3 Ultra-class chipsets, with a theoretical transistor count of 536 billion. That chip was described internally as the vehicle’s “AI brain.” After the project’s cancellation, those engineering efforts were redirected toward what became the M-series roadmap.
The M7 Ultra represents the clearest signal yet that Apple’s chip strategy is shifting toward AI performance as the primary design objective. Gurman reported that the company’s future processor roadmap, covering the M7 and M8 generations, prioritizes AI support over raw speed and power efficiency improvements. The chips are being designed not just for Macs but for Apple Intelligence servers, where unified memory capacity directly determines the size of models that can run inference locally.
If Apple ultimately ships the 1.5 TB M7 Ultra configuration, it would mark a return to the workstation-class memory ceiling that the company surrendered when it transitioned from Intel to its own silicon. More importantly, it would make Apple a credible contender for on-device large-language-model inference, a category currently dominated by Nvidia’s DGX-class workstations.
Sources: Apple’s failed self-driving car program left a legacy of powerful AI chips (The Verge, Jul 12, 2026); Power of Apple’s M7 & M8 chips was born from Apple Car research (AppleInsider, Jul 12, 2026); M7 Ultra to potentially feature up to 1.5TB of RAM (9to5Mac, Jul 12, 2026)