Apple is accelerating development of its M7 chip, set to arrive in the first half of 2027 with significant Neural Engine upgrades, while skipping Pro, Max, and Ultra versions of the M6. The Neural Engine—the backbone of Apple's on-device AI processing—originated from the company's abandoned self-driving car program and has become central to Apple's AI hardware strategy, enabling privacy-focused features by processing data locally rather than sending it to the cloud.
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Apple is skipping the Pro, Max, and Ultra versions of its upcoming M6 chip and instead accelerating development of the M7, which should arrive in the first half of 2027 with significant Neural Engine upgrades. The M7 Ultra is expected to be the basis for a new server product from Apple as well, with support for up to 1.5TB of RAM.
Why it matters
Apple's powerful on-device AI processing capabilities stem from the Neural Engine, which originated in the company's failed self-driving car program. By concentrating on Neural Engine improvements rather than broad M6 iterations, Apple is doubling down on hardware as a cornerstone of its AI strategy going forward, differentiating itself through on-device processing that supports privacy by reducing cloud data transmission.
What to watch
The M7 is scheduled to arrive in the first half of 2027 with significant Neural Engine upgrades. The M7 Ultra will support up to 1.5TB of RAM for the new server product.
Apple's decision to skip M6 iterations in favor of accelerating the M7 reflects a strategic pivot toward Neural Engine-driven AI capabilities. The Neural Engine itself has an unexpected origin: it grew out of work on a self-driving car platform that never shipped. Although that automotive effort failed, the on-device AI processing architecture it generated became foundational to Apple's competitive advantage. The Neural Engine first appeared in the iPhone X and A11 Bionic, initially powering computer vision features like Face ID, Animoji, and augmented reality. From there, Apple extended the technology to its desktop and laptop chips via the M-series, establishing the company as an early leader in bringing neural processing to consumer hardware.
While Apple's AI software efforts have lagged behind competitors, the hardware foundation has been strong. By concentrating investment on Neural Engine upgrades rather than spreading development across multiple M6 variants, Apple is signaling that on-device AI performance and privacy are its primary differentiators going forward. The planned support for up to 1.5TB of RAM in the M7 Ultra also suggests Apple is preparing for server-scale workloads, extending its neural processing advantage beyond personal devices.
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