This claim has been supported with the validation of its mobile memory for Qualcomm Technologies’ latest mobile platform for flagship smartphones, its Snapdragon 8 Gen 2.
Micron’s LPDDR5X has been integrated into Snapdragon 8 Gen 2 reference designs, allowing it to serve as a key example of the benefits that OEMs will see when designing their smartphones using this chipset. Micron is also shipping LPDDR5X in mass production, which will enable the world’s first smartphones with LPDDR5X at peak speeds.
Intended for high-end and flagship smartphones, the LPDDR5X delivers peak speeds at 8.533 gigabits per second (Gbps), which is up to 33% faster than previous-generation LPDDR5. This increased speed, up from the 7.5 Gbps Micron supported last year, provides a boost for high-bandwidth, data-intensive mobile experiences that demand high-performance memory.
“As the unsung hero of smartphone innovation, blazing fast mobile memory is critical to bringing to life the promise of 5G, AI and the massive amounts of data flowing through smartphones today,” said Raj Talluri, senior vice president and general manager of Micron’s Mobile Business Unit. “The worldwide shipment and mass production of our LPPDR5X at peak speeds empower the mobile ecosystem to innovate a new generation of devices and emerging apps.”
Micron has led the semiconductor industry in sampling and validating LPDDR5X, the fastest, most advanced mobile memory, launching the 1α (1-alpha) node in the autumn of last year.
With this latest announcement, the company is looking to accelerate market adoption of LPDDR5X and to solidify its product innovation and leadership in the mobile ecosystem, following industry-first launches for LPDDR5, 1α-based LPDDR4X, 176-layer NAND-based UFS 3.1 and uMCP5 solutions.
Improved memory performance is critical for feeding massive amounts of data to the multiple heterogeneous processing engines built into today’s complex smartphone processors. As mobile workloads grow more sophisticated, these advanced chipsets rely on high data rates to ensure seamless multitasking across applications and to enable artificial intelligence (AI) inferencing, augmented and virtual reality, immersive graphics and high-resolution camera use cases like night and portrait modes.
