Samsung is set to enhance its Exynos chip development with the integration of Meta’s AI model, Llama 4. Historically, Samsung relied on its own AI model for semiconductor production, but this internal solution proved less efficient compared to external alternatives.
By adopting Llama 4, Samsung demonstrates its commitment to making Exynos a key component of its future devices. Llama 4 will exclusively operate within Samsung’s infrastructure, ensuring no connection to external networks to mitigate data security risks.
This AI model will aid employees across various functions, from document management to chipset design. The goal is to expedite the path towards a more competitive Exynos lineup.
Meanwhile, Samsung Foundry has stabilized its 3 nm chip manufacturing process and has pivoted to developing 2 nm technology. After utilizing Snapdragon chipsets in the Galaxy S25 series worldwide, Samsung aims to introduce the Exynos 2600 in the upcoming Galaxy S26.
This shift reflects a strategic movement to re-establish Exynos in the market, emphasizing domestic production. In contrast, Apple continues to advance with its in-house chips known as Apple Silicon, which power its iPhone, Mac, and MacBook products.
Apple has also made strides by launching its first cellular modem this year. Samsung aspires to achieve similar integration and performance with Exynos chips, addressing the historical performance gaps when compared to Snapdragon.
As an advocate for the potential of Exynos, I believe Samsung can create a hardware and software synergy akin to Apple’s success with its own chipsets. If Llama 4 facilitates this transition effectively, it could elevate Samsung’s Exynos chips to a comparable level of performance and efficiency.