Micrometer This week it announced its first 1Y (1-gamma) DDR5 memory chip sample and said it was part of its contribution to systems that keep up with AI processing.
The company said it is the first market proof to use a one-year sample to perform market proof MicrometerContinuing Technology and Manufacturing Leadership – Idaho-based Boise is expanding the capabilities of this advanced node to its wider portfolio of dynamic random access memory (DRAM) chips. These are coming soon.
Smartphones at Mobile World Congress in Barcelona feature AI-powered features such as visual search, translation and smart tools to unzip or erase objects in photos.
These innovations show how AI can transform smartphones into intuitive and context-aware tools
This can enhance our daily life when using the right memory and storage boost.
Micron will taste the 1Y LPDDR5X 16GB product to choose partners for flagship smartphones in 2026, enabling industry-leading performance and up to 15% power savings – crucially energy-intensive use cases such as video and AI-based applications that make the battery life of smartphones more important than ever.
At MWC, Micron also announced mobile storage devices, including the world’s first G9-based UFS 4.1 and UFS 3.1 mobile storage solutions. The G9 process nodes can achieve significant improvements in speed and power efficiency while allowing us to deliver scalable MNAND capabilities from 256GB to 1TB with maximum performance.
These mobile storage solutions are now available in small and ultra-thin forms required for slim and foldable smartphone designs.
Micron said it works with smartphone OEMs to address its latest pain points with smartphone differentiated firmware features and provide end consumers with a smoother and more intuitive experience. Micron’s latest UFS 4.1 solution provides proprietary firmware features for flagship smartphones such as Zoned UFS with read/write efficiency, faster read speeds of 60% data fission, fixed WriteBooster, fixed 30% WriteBooster, faster random reading speeds and smart delayed track trajectory for better debugging.
Recently, Micron partnered with Samsung on its Galaxy S25 smartphone suite. These
Smartphones provide breakthroughs in natural language processing and design using MICRON
The most effective LPDDR5X and advanced UFS 4.0 solutions. LPDDR5X increases power
Up to 10% efficiency.
Samsung’s Galaxy AI Suite can enhance user interaction with AI-powered features such as call transcript summary, message composition, creative tools and nightclub modes to optimize low-light photography.
Without enough internal storage, none of these features can accommodate the massive amount of data needed for this device’s AI experience, which is where our high-capacity UFS 4.0 comes in. This storage solution allows this to be done locally rather than in the cloud to quickly process data in the cloud, in addition to ensuring greater privacy and greater privacy and control over the data.
Micron notes that AI in our smartphones and PCs has begun to predict our needs, manage timelines and curate personalized content, improving our productivity, creativity and connectivity
Beyond what we could have imagined.
Now, new AI innovations such as multimodal agents can simultaneously interpret and generate insights from various data from text, images – an entirely new world of applications that are limited to processing one type of data, compared to previous AI agents. Another innovation, joint learning, allows AI models to learn from decentralized data sources while maintaining privacy. As these technologies mature, they will enable smartphones to predict our habits and patterns to predict our next move and make suggestions to make life more streamlined.
A strong hardware foundation is crucial as we move towards autonomous reasons, proxy and multi-modal AI that plan and perform complex tasks. To keep up with these rising memory and storage needs, Micron continues to optimize our roadmap and works with the ecosystem to drive and shape what is possible, from gradually facilitating mobile combinations on our main process nodes to exploring new architectures to optimize memory performance and optimize the capabilities of AI smartphones that change gaming.
Memory and storage embedded in today’s smartphones play a key role in enabling AI tasks
And safely store user’s important data on its devices. Key factors – such as high
Bandwidth, low latency and power efficiency – critical to processing requirements for AI workload
And provide a super smooth user experience.
Source link
