Earlier this week, Google decided to backtrack on its initial decision to reserve its on-device Gemini AI exclusively for the Pixel 8 Pro, opting instead to introduce Gemini Nano, a lighter version of the software, to both Pixel 8 models.<\/p>\n
Initially, Google cited \u201chardware limitations\u201d as the reason for excluding the base Pixel 8 from receiving the AI feature. However, the company has now reversed its stance, acknowledging that Gemini Nano will indeed be available for both devices.<\/p>\n
The rationale behind this reversal seemed puzzling at first, especially considering that both versions of the Pixel 8 share similar specifications. Questions arose regarding the specific hardware limitations that prevented Gemini Nano from being implemented on the more affordable variant of the smartphone.<\/p>\n
Thankfully, Seang Chau, Google\u2019s VP of devices and software services, shed light on the issue. According to Chau, the main factor at play is RAM.<\/p>\n
Explaining the decision on the Made by Google podcast, Chau pointed out that the Pixel 8 Pro, equipped with 12GB of RAM, provided an ideal platform for integrating Gemini Nano. However, with the Pixel 8 boasting 4GB less memory, the decision to enable the feature wasn\u2019t as straightforward.<\/p>\n
Despite this, Google intends to offer Gemini Nano on the Pixel 8 through a developer option, albeit with certain conditions. Users will need to navigate through a few hurdles to access the feature, ensuring that they are fully aware of its potential impact on their device\u2019s performance.<\/p>\n
In essence, the additional 4GB of RAM in the Pixel 8 Pro significantly contributes to the smooth operation of the phone\u2019s regular functionalities, including non-AI tasks. Consequently, the introduction of advanced AI models like Gemini Nano may necessitate a substantial increase in RAM capacity for smartphones in the future.<\/p>\n
Currently, most Android devices come with either 8 or 12GB of RAM, with outliers on both ends of the spectrum. While some budget handsets offer as little as 3GB of RAM, high-end models boast an excessive 24GB. However, according to Android Authority\u2019s extensive testing, a RAM capacity of 8 to 12GB is considered ideal, with anything beyond 16GB being perceived as mere overkill.<\/p>\n","protected":false},"excerpt":{"rendered":"
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