Sources revealed that Intel has selected Samsung as the supplier of its next-generation Lunar Lake processor, which will be unveiled later this year. Reports indicate that Samsung will provide LPDDR5X memory devices for integration into Intel processors. Considering Intel expects to distribute millions of Lunar Lake CPUs over the next few years, this partnership could be a major win for Samsung.

However, it is worth noting that this news is based on leaked information and has not been officially confirmed. The Lunar Lake-MX platform is designed for ultra-portable laptops and is expected to be equipped with 16GB or 32GB LPDDR5X-8533 memory directly on the processor package. This method of packaging memory is designed to minimize the physical size of the platform while increasing performance compared to traditional memory configurations. With LunarLake’s exclusive support for packaged memory, Samsung’s LPDDR5X-8533 product could boost sales significantly.

While Samsung is currently in the spotlight, it remains unclear whether it will become Lunar Lake's sole LPDDR5X memory supplier. Intel's strategy of selling processors with pre-verified memory opens the door to potential verification of similar memory products from rivals such as Micron and SK Hynix.

Intel is pitching its Lunar Lake processors as a revolutionary leap in performance-per-watt efficiency thanks to a new microarchitecture. The processor is expected to feature a multi-chipset design with Foveros technology, combining CPU and GPU chipsets, a system-on-chip, and a dual-memory package. The CPU portion is expected to include up to eight cores (four high-performance LionCove cores and four energy-efficient Skymont cores), as well as advanced graphics, cache and AI acceleration capabilities.

Apple's use of packaged memory (unified memory) in its M-series chips has set a precedent in the industry, and Intel's Lunar Lake MX may extend this trend to the entire thin and light laptop market. However, systems that require more flexibility in configuration, repair and upgrades will likely continue to use standard memory solutions such as SODIMMs and/or new CAMM2 modules that combine high performance and energy efficiency.