It looks like Samsung is making big changes inside and out to the upcoming Galaxy S flagship. Galaxy S25 Ultra A cleaner look with thinner bezels, sharper lines and a more boxy design.
Now, according to reliable source UniverseIce, the Galaxy S25 Ultra will come with 16GB of RAM. For comparison, Galaxy S24 Ultra offers 12 GB of RAM, while the entire line iPhone 16 Has 8 GB of memory.
Now, Samsung won’t be setting any new industry standards with the Galaxy S25 Ultra and its 16GB RAM module. Phones like the Asus ROG Phone 8 Pro, REDMAGIC 8S Pro Plus and OnePlus Ace 2 Pro have already hit the excessive 24GB ceiling.
The S25 Ultra will definitely have a 16GB RAM version, it’s 100% confirmed, don’t worry.
— ICE UNIVERSE (@UniverseIce) September 27, 2024
Of course, you don’t need 24GB on any “regular” smartphone these days, unless you need it to make obvious “my phone has more RAM than your PC” jokes.
But upgrading from 12GB to 16GB could have some practical benefits beyond keeping more apps running in the background and giving you an extra boost in gaming performance, as smartphone makers proudly claim.
It’s probably AI
The real beneficiary is AI and, in particular, a type of device in which tasks are performed by a local AI processor rather than offloaded to the cloud. Remember the hype about Google limiting the Gemini Nano to the Pixel 8 Pro and not extending it to the vanilla Pixel 8?
Well, Android VP and CEO Seang Chau later confirmed that the Pixel 8 Pro’s 12GB RAM is better suited for faster and more efficient local AI processing compared to the Pixel 8, which only had 8GB RAM.
Obviously, four gigabytes of extra memory can make a big difference, although the performance difference may not be as obvious as going from 12GB of RAM to 16GB of storage.
But at the same time, we’re seeing AI models, including Google’s own Gemini suite and Samsung’s GalaxyAI suite, becoming more complex and increasing the throughput of your token, so it’s always safe to pack more RAM to prepare them for use. future.
Or, as one Obi-Wan Kenobi would agree, it pays to have the highest point.
“While current basic AI functions use around 100MB of memory on mobile devices, LLM-based functions could require up to 7GB of additional RAM,” explain Yole Group analysts.
For example, the Gemini Nano model that runs AI tasks in the Galaxy S24 series is estimated to consume 2GB of memory, but to effectively handle AI models with a range of 7 billion parameters, 16GB of RAM is the recommended format.
In fact, experts estimate that complex LLM (Large Language Model) based tasks may require an additional 7GB of RAM. Processing and analyzing data sets (think AI evaluating an image or a PDF research document) requires a lot of memory for computational tasks.
Data processing speed and parameter processing efficiency determine how quickly AI results are produced. Lack of RAM can be a major hindrance for AI tasks. And given Samsung’s promotion of Galaxy AI, it would make sense for the company’s next flagship to offer 16GB of RAM to make the best use of artificial intelligence.
Source: Digital Trends
