The Samsung Galaxy S25 Ultra is shaping up to be a significant upgrade, both inside and out. Leaked renders hint at a sleeker, more angular design with slimmer bezels. Now, reputable leaker UniverseIce suggests a substantial internal upgrade: 16GB of RAM. This marks a notable jump from the Galaxy S24 Ultra’s 12GB and dwarfs the 8GB found in the entire iPhone 16 lineup.
While 24GB RAM behemoths like the Asus ROG Phone 8 Pro, REDMAGIC 8S Pro Plus, and OnePlus Ace 2 Pro exist, 16GB in a mainstream flagship like the Galaxy S25 Ultra signifies a shift towards more demanding on-device AI capabilities.
The S25 Ultra will definitely have a 16GB RAM version, this is 100% confirmed, don't worry.
— ICE UNIVERSE (@UniverseIce) September 27, 2024
The AI Advantage of Increased RAM
Beyond the obvious benefits of enhanced multitasking and gaming performance, the increased RAM in the Galaxy S25 Ultra likely points to a focus on on-device AI processing. This approach utilizes a local AI processing unit instead of relying on the cloud. Recall the discussion around Google’s Gemini Nano being exclusive to the Pixel 8 Pro due to its 12GB RAM, while the standard Pixel 8 with 8GB was left out?
Samsung Galaxy S25 Ultra look from Android Headlines.Leaked render of Samsung Galaxy S25 Ultra. Android Headlines
Android VP Seang Chau later explained that the Pixel 8 Pro’s larger RAM capacity was crucial for faster and more efficient local AI processing. While the difference between 8GB and 12GB is significant, the transition from 12GB to 16GB further enhances AI capabilities, especially as AI models become more complex.
Future-Proofing for Advanced AI
Both Google’s Gemini and Samsung’s GalaxyAI are evolving rapidly, demanding more resources. Increased RAM ensures future-proofing, providing the necessary headroom for these increasingly sophisticated models.
Galaxy S24 Ultra (left) next to Galaxy S25 Ultra mockupIce Universe
According to Yole Group analysts, “While current basic AI features use around 100MB of memory on mobile devices, LLM-based features could require up to 7GB of additional RAM.” (Yole Group)
Current estimates suggest Gemini Nano on the Galaxy S24 series utilizes around 2GB of RAM. However, to effectively handle AI models with 7 billion parameters, 16GB becomes the recommended standard. Furthermore, experts predict advanced Large Language Model (LLM) tasks could demand an additional 7GB of RAM.
RAM: The Key to Seamless AI Performance
Data processing speed and efficient parameter handling are critical for responsive AI performance. Analyzing images, PDFs, and other data requires substantial memory. Insufficient RAM can severely bottleneck these processes. Given Samsung’s emphasis on Galaxy AI, equipping the S25 Ultra with 16GB of RAM makes perfect sense, paving the way for a superior on-device AI experience.
