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Apple Looking to Fundamentally Change iPhone Memory Design to Enhance AI Performance
Apple is reportedly planning a significant shift in its iPhone hardware design by transitioning to discrete memory packaging to enhance on-device AI performance. Samsung, a key supplier of Apple's memory components, has begun research to accommodate the change at Apple's request, according to a
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Report: 2026 iPhone will prioritize AI upgrades by reworking RAM setup - 9to5Mac
Apple is always working on new iPhones that are multiple years out, and today a new report details a noteworthy internal change coming to the 2026 iPhone 18 lineup. The iPhone 16 has been called the first model 'built from the ground up' for AI. But unsurprisingly, future iPhones are making even
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Apple wants faster RAM to help speed up Apple Intelligence
Apple Intelligence on an iPhone will benefit from faster memory Apple is working with Samsung to change how RAM is packaged for the iPhone, with the aim of widening the bandwidth to help in AI tasks. While most smartphones have their RAM on the same package as the processor, Apple is looking to
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Apple is reportedly working on a significant change to iPhone memory design, moving from package-on-package to discrete packaging to enhance on-device AI capabilities. The change is expected to debut in the 2026 iPhone models.

Apple is reportedly planning a significant change in its iPhone hardware design, moving away from the current package-on-package (PoP) memory configuration to discrete memory packaging. This shift, expected to debut in the 2026 iPhone models, aims to enhance on-device AI performance by improving memory bandwidth and data transfer rates
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.Since the iPhone 4 in 2010, Apple has used the PoP method, where low-power double data rate (LPDDR) DRAM is stacked directly on the System-on-Chip (SoC). While this approach minimizes the physical footprint, crucial for mobile devices, it imposes constraints that limit its suitability for AI applications
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.The PoP configuration caps the number of I/O pins due to size limitations, restricting performance. This limitation becomes particularly significant for AI tasks, which require faster data transfer rates and increased memory bandwidth
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.The transition to discrete packaging offers several benefits:
Increased I/O pins: Separating the memory from the SoC allows for more I/O pins, potentially increasing data transfer rates and the number of parallel data channels
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.Improved heat dissipation: Discrete packaging provides better heat regulation, which is crucial for on-device AI's parallel processing that generates high levels of heat
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.Enhanced AI performance: The changes are expected to significantly improve the iPhone's AI capabilities by widening the memory bandwidth
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.While the shift promises performance improvements, it also presents challenges:
Space constraints: Adopting discrete packaging may require shrinking the SoC or battery to accommodate the separate memory component
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.Power consumption: The new design may use more power and potentially increase latency
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.Engineering hurdles: Apple faces challenges related to SoC miniaturization and internal layout optimization
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Samsung, a key supplier of Apple's memory components, has begun research to accommodate this change at Apple's request. The company is also working on next-generation LPDDR6 memory technology, expected to offer two to three times the data transfer speed and bandwidth of the current LPDDR5X
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.One variant under development, LPDDR6-PIM (Processor-in-Memory), integrates processing capabilities directly into the memory. Samsung is collaborating with SK Hynix to standardize this technology
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.This move signifies Apple's commitment to enhancing on-device AI capabilities in future iPhones. The company expects significant demands to be placed on RAM due to upcoming AI features
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. The change could potentially extend to other Apple products like Macs and iPads, which have used similar memory configurations in recent years2
.As Apple continues to develop its AI offerings, including the recently debuted Apple Intelligence, this hardware change demonstrates the company's forward-thinking approach to ensuring its devices are equipped to handle the evolving demands of AI technologies
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