Samsung is reportedly developing Gaia, an AI chip intended to move demanding artificial intelligence tasks from remote data centres to future laptops. The project could allow selected AI features to work locally with less dependence on an internet connection.
Rather than replacing a laptop’s central processor, Gaia is expected to serve as a dedicated companion processor. Its role would be to accelerate AI workloads while the CPU continues to handle broader system computing tasks.
A Memory-Focused Design
Gaia’s reported distinction is its memory-centric architecture, which brings AI computing closer to memory modules. Reducing the movement of data to the main processor could lower latency for intensive AI applications.
The design is linked to Samsung’s Processing-in-Memory, or PIM, technology. PIM allows part of the computing work to be carried out within DRAM memory chips instead of directing all tasks to conventional CPUs or GPUs.
For a laptop, that arrangement could create a more responsive path for local AI processing. Samsung is also positioning the approach as a potential route to lower-power personal computing.
Local AI Functions Under Consideration
Gaia is expected to support generative AI applications that run on the device. The reported use cases include local large language models, real-time translation, and AI-based image generation.
Samsung has not officially confirmed the Gaia project, so its final capabilities remain unclear. There are also no available details on performance or power consumption for a direct comparison with competing products.
| Development area | Reported detail |
|---|---|
| Developer | Samsung System LSI division |
| Chip role | Companion processor for AI workloads |
| Prototype testing | Reportedly tested by HP in the United States and Lenovo in China |
| Commercial target | Late 2027 or early 2028, if development proceeds smoothly |
Prototype Testing Reported
According to South Korean outlet Chosun, as cited by gadget.viva.co.id, Gaia prototypes have entered testing. HP in the United States and Lenovo in China are reportedly among the major PC makers involved in the process.
Samsung’s System LSI division is handling the development effort. Commercialisation is reportedly targeted for late 2027 or early 2028, provided the project progresses without major obstacles.
A Potential Return to PC Chips
Gaia could give Samsung an opportunity to bring more of its own silicon into the Galaxy Book line. In recent years, Samsung’s laptops have relied on processors from companies including Intel and Qualcomm.
The latest Galaxy Book models have also used the Snapdragon X2 Elite platform. A successful launch could allow Samsung to use Gaia in its own notebooks and potentially supply the chip to other PC makers.
The project may also mark Samsung’s return to PC chip development after more than a decade. Samsung last developed a PC processor through Exynos in 2012 for Chromebooks, before that effort was discontinued around two years later.
A Crowded AI PC Market
Gaia would enter a market that already includes NPUs from AMD, Intel, and Qualcomm, alongside Nvidia AI PC platforms. Samsung also manufactures chips for several companies competing in this market, including Qualcomm and Nvidia.
The decisive question will be whether Samsung can demonstrate a practical advantage from its memory-based approach. System LSI will need to show that Gaia provides tangible benefits in responsiveness and efficiency for laptop users.