Apple's AI chips are the legacy of its failed car project
The canceled autonomous vehicle program paved the way for Apple's AI hardware leadership.
1The unexpected legacy of a failed project
Although Apple's autonomous car project never materialized, the technologies developed during this process positioned the company as a leader in AI hardware. The project revealed the need for powerful on-device AI processing and laid the foundations for the Neural Engine.
2The birth of Neural Engine
Originally conceived as an autonomous vehicle processor, Neural Engine technology first appeared in the iPhone X with the A11 Bionic chip. Initially supporting computer vision features like FaceID and Animoji, this technology eventually spread across all Apple products.
3Transition to desktops with M-series chips
Neural Engine technology made its way to desktop computers with Apple's M-series chips. This move significantly increased the company's AI processing capacity and provided a major advantage over competitors.
4Privacy-focused AI approach
Apple's emphasis on on-device AI processing means less user data is sent to the cloud. This approach perfectly aligns with the company's privacy-focused marketing strategy and creates an important preference factor for consumers.
5Accelerated transition to M7 chip
Apple is skipping the M6 series to focus directly on the M7 chip. Expected in the first half of 2027, this chip will feature significant Neural Engine improvements. The M7 Ultra version will form the basis for server products supporting up to 1.5TB of RAM.
6Apple's AI hardware strategy
Despite lagging in software, Apple has secured a strong position in AI hardware. The company is placing Neural Engine technology at the center of its future strategy and aims to differentiate itself from competitors by increasing investments in this area.
Original article: The Verge — Apple'ın yapay zeka çipleri otonom araç projesinin mirası