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Micron unveils new memory chips to keep up with AI processing needs

Micron this week released a sample of its first 1y (1-gamma) DDR5 memory chip, which the company says is one of its contributions to supporting AI processing systems.

The company said the first 1Y sample is a testament to Micron’s continued leadership in technology and manufacturing. The Boise, Idaho-based company is expanding the benefits of this advanced process to its broader portfolio of dynamic random access memory (DRAM) chips. These products will be available in the second quarter.

The smartphones showcased at Mobile World Congress in Barcelona feature AI-powered features such as visual search, translation, and smart tools for unblurring or erasing objects in photos.

These innovations show how, when equipped with the right memory and storage, AI can transform smartphones into intuitive, context-aware tools that enhance our daily lives.

Micron will provide 1y LPDDR5X 16Gb product samples to select partners for use in flagship smartphones in 2026, achieving industry-leading performance and power savings of up to 15%. This is critical, as energy-intensive use cases such as video and AI-based applications make smartphone battery life more important than ever.

At MWC, Micron also unveiled removable storage devices, including the world’s first G9-based UFS 4.1 and UFS 3.1 mobile storage solutions. The G9 process delivers significant speed and power efficiency, while enabling us to deliver scalable mNAND capacity from 256GB to 1TB with the industry’s highest performance.

These mobile storage solutions are now available in the form factor and slim form factor required for thin and foldable smartphone designs.

Micron said it is working with smartphone OEMs to develop differentiated firmware features to address their latest pain points and provide a smoother and more intuitive experience for end users. Micron’s latest UFS 4.1 solution offers proprietary firmware features for flagship smartphones, such as partitioned UFS for improved read and write efficiency, data defragmentation for up to 60% faster read speeds, a fixed WriteBooster for 30% faster random read speeds, and an intelligent latency tracker for better debugging.

Recently, Micron partnered with Samsung on its Galaxy S25 series of smartphones. These smartphones are breakthroughs in natural language processing, featuring Micron’s most energy-efficient LPDDR5X and advanced UFS 4.0 solutions. LPDDR5X Up to 10% increase in energy efficiency.

Samsung’s Galaxy AI Kit enhances user interaction with AI-powered features like call log summarization, message composing, creative tools, and a night mode for optimized low-light photography.

None of this is possible without enough internal storage to hold the vast amounts of data needed for AI experiences on such devices, and that’s where our high-capacity UFS 4.0 comes in. This storage solution enables fast data processing through on-premise processing rather than cloud-based processing, while ensuring greater privacy and data control.

Micron notes that AI in our smartphones and PCs has begun to anticipate our needs, manage our schedules, and curate personalized content, taking our productivity, creativity, and connectivity to unprecedented levels.

New AI innovations, such as multimodal agents, can now interpret and generate insights from various types of data such as text and images simultaneously, opening up a whole new world of applications compared to AI agents that were previously limited to processing one type of data. Another innovation, federated learning, allows AI models to learn from scattered data sources while maintaining privacy. As these technologies mature, they will enable smartphones to predict our habits and patterns, anticipate our next move and provide recommendations to make life smoother.

As we evolve toward proactive and multimodal AI that can autonomously reason, plan, and execute complex tasks, a strong hardware foundation is essential. To keep up with these growing memory and storage needs, Micron continues to optimize its roadmap and collaborate with the ecosystem to drive and shape what’s possible, from expanding its mobile portfolio on leading-edge processes to exploring new architectures to optimize memory performance and power consumption for breakthrough AI smartphones.

Memory and storage embedded in today’s smartphones play a key role in supporting AI tasks and securely storing users’ important data. Key factors such as high bandwidth, low latency, and energy efficiency are critical to handling demanding AI workloads and delivering an ultra-smooth user experience.

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