Longsys, a subsidiary of Lexar, has unveiled its latest "FORESEE" LPCAMM2 memory standard, with up to 7500 MT/s speeds.
Longsys's New LPCAMM2 Memory Comes With Great Performance In a Compact Form Factor, Making It Ideal For Mass-Adoption
The LPCAMM (Low Power Compression Attached Memory Module) is a new memory standard widely popular in power-constrained devices such as laptops. Not only is the memory type much more power efficient, but it also offers decent performance compared to the traditional SO-DIMMs. With that, Longsys has unveiled its newest FORSEE LPCAMM2 memory module, offering high-end performance and onboard components, making it a great option for mass adoption.
Diving into specifications, the FORESEE LPCAMM2 features LPDDR5 memory and offers 16 GB, 32 GB, and 64 GB capacities. The standard comes with a 128-bit memory bus on a single module, which provides superior performance to other alternatives in the market. The memory supports up to 7500 MT/s speed, competing with some of the fastest modules. Longsys says that its LPCAMM2 memory is best for consumer applications such as those in laptops, along with integration in AI and HPC machines.
In terms of memory capabilities, Longsys says that compared with traditional SO-DIMMs, its memory standard offers a 60% reduction in machine space occupation due to the memory's compact size and dual-channel structure. Regarding power efficiencies, the LPCAMM2 delivers a 70% more efficient power-to-performance ratio, and such factors have made the company optimistic about mass adoption. The manufacturer expects LPCAMM standard adoption to hit 30% of the total laptop DRAM segment by 2027.
Until now, we have seen LPCAMM2 from Micron, but Longsys has joined the list as well, with both firms eying to capitalize on an untapped market. In the era where manufacturers desire power-efficient performance, LPCAMM2 can dominate low-computing devices moving into the future.
News Source: ITHome
About the author: Muhammad Zuhair is a hardware and technology reporter for Wccftech, specializing in the semiconductor industry and the complex interplay between technology, manufacturing, and geopolitics. His coverage focuses on the corporate strategies and technological roadmaps of industry giants like TSMC, NVIDIA, Samsung, and Intel. Zuhair's expertise lies in deconstructing complex topics such as fabrication nodes (e.g., 2nm process), the economic impact of policies like the CHIPS Act, and the strategic development of AI infrastructure from NVIDIA, AMD and Intel.
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