Micron Technology, Inc., today announced the availability of Crucial LPCAMM2, the disruptive next-generation laptop memory form factor that features LPDDR5X mobile memory to level up laptop performance for professionals and creators. Consuming up to 58% less active power and with a 64% space savings compared to DDR5 SODIMMs, LPCAMM2 delivers higher bandwidth and dual-channel support with a single module. LPCAMM2 is an ideal high-performance memory solution for handling AI PC and complex workloads and is compatible with the powerful and versatile Lenovo ThinkPad P1 Gen 7 mobile workstations.

"LPCAMM2 is a game-changer for mobile workstation users who want to enjoy the benefits of the latest mobile high performance memory technology without sacrificing superior performance, upgradeability, power efficiency or space," said Jonathan Weech, senior director of product marketing for Micron's Commercial Products Group. "With LPCAMM2, we are delivering a future-proof memory solution, enabling faster speeds and longer battery life to support demanding creative and AI workloads."

Today, Lenovo launched its latest mobile workstation offerings meticulously crafted to deliver the exceptional power and performance essential for handling complex workloads. Lenovo's ThinkPad P1 Gen 7, P16v i Gen 2, P16s i Gen 3, and P14s i Gen 5, with their cutting-edge AI technologies, are set to transform the way professionals engage with AI workflows. By collaborating with industry partners, Intel, NVIDIA, and Micron, Lenovo has introduced powerful and performance-packed AI PCs that meet the demands of modern-day AI-intensive tasks. The inclusion of the Intel Core Ultra processors with their integrated neural processing unit (NPU) and NVIDIA RTX Ada Generation GPUs signifies a major advancement in AI technology, boosting overall performance and productivity capabilities.

The latest ThinkPad P series mobile workstations powered by Intel Core Ultra processors and NVIDIA RTX Ada Generation GPUs deliver flexible, high-performance, and energy-efficient AI-ready PCs. The integrated NPU is dedicated to handling light, continuous AI tasks, while the NVIDIA GPU runs more demanding day-to-day AI processing. This combination enables smooth and reliable functioning of AI technologies, serving professionals engaged in diverse tasks ranging from 3D modeling and scene development to AI inferencing and training.

Samsung Electronics, a world leader in advanced memory technology, today announced that it has developed the industry's first Low Power Compression Attached Memory Module (LPCAMM) form factor, which is expected to transform the DRAM market for PCs and laptops - and potentially even data centers. Samsung's groundbreaking development for its 7.5 gigabits-per-second (Gbps) LPCAMM has completed system verification through Intel's platform. Historically, PCs and laptops have conventionally used LPDDR DRAM or DDR-based So-DIMMs. While LPDDR is compact, it's permanently attached to the motherboard, making it challenging to replace during repairs or upgrades. On the other hand, So-DIMMs can be attached or detached easily but have limitations with performance and other physical features.

LPCAMM overcomes the shortcomings of both LPDDR and So-DIMMs, addressing the increased demand for more efficient yet compact devices. Being a detachable module, LPCAMM offers enhanced flexibility for PC and laptop manufacturers during the production process. Compared to So-DIMM, LPCAMM occupies up to 60% less space on the motherboard. This allows more efficient use of devices' internal space while also improving performance by up to 50% and power efficiency by up to 70%. LPDDR's power-saving features have made it an attractive option for servers, since it could potentially improve total cost of operation (TCO) efficiency. However, using LPDDR can create operational difficulties such as the need to replace the entire motherboard when upgrading a server's DRAM specifications. LPCAMM offers a solution to these challenges, creating significant potential for it to become the solution of choice for future data centers and servers.