Description: The “IQ Era” of AI is now here, and edge devices with AI capabilities are starting to filter into the market in greater numbers. While data centers might need masses of storage and memory to power cloud AI experiences, edge devices need high-speed storage to ensure they have the kind of low-latency that delivers a truly intelligent-feeling AI experience.
In 2026, the IQ Era of intelligent connectivity marks a dramatic shift from connectivity-first products to intelligence-first devices. AI chatbots have become common tools for white-collar workers worldwide, and developers at every scale are building AI into their devices and services to deliver next-generation experiences for consumers and businesses alike. But just as AI factories and leading-edge data centers require the latest storage and memory products to ensure their cloud AIs are as fast and as capable as they can be, edge AI devices demand their own high-performance components.
No matter how sophisticated an AI model is, it will only feel smart if the latency remains invisible.
What Makes the IQ Era Different?
The AI era showed us what large-language models can do — the IQ Era is about enabling AI to do things for you. Chatbots and smart generative AI provide a snapshot of what large language model AI is capable of, but the next-generation of “agentic” AI experiences and devices are more capable in a range of contexts and can deliver on your needs without hand-hold prompting.
Agentic AI is designed to be more consistent, context-heavy, and able to execute longer-form, multi-step tasks. They perform work in the background and deliver results effectively, and with autonomy. They are the first step to true hands-free AI that has been promised by science fiction for decades.
Where data centers are rushing to build out with the most compute possible to increase AI training and inference effectiveness, the bottlenecks on local devices are much more likely to be memory and storage based. That makes effective device design around these key components a must in the IQ Era.
Why Cutting-Edge Storage is So Important
When an AI assistant is designed to be always-on, or at least always-available, the device simply cannot stall when the user reaches out for an AI agent’s response. In the IQ Era, slow I/O makes your device less competitive by forcing users to wait. Others won’t. Combine that with the tight size constraints on many edge-AI devices, and it’s clear why only the most cutting-edge storage will be an effective solution in this new agentic AI future.
BIWIN’s ePoP LPDDR4X combines LPDDR4X DRAM with eMMC 5.1 storage in a tight package-on-package (PoP) form-factor, designed specifically to handle the needs of modern, space-constrained wearables like high-end smartwatches and smart glasses. Measuring less than 10mm a side, integrating high-performance components like this can simplify board layouts and allow device designers to prioritize sensors, radios, and battery placement for more efficient configurations.
For more demanding wearables and edge-AI devices, BIWIN’s ePoP5x extends the integrated PoP approach toward LPDDR5X + eMMC, offering double the performance of LPDDR4X with important energy efficiency savings. To better understand the technology underpinning this generation of low-power mobile memory, you can explore our comprehensive guide on What is LPDDR5. Designed for space-constrained AI wearables, it combines high-bandwidth memory and efficient embedded storage in a compact package. Learn more about ePoP5X embedded storage for smart AI wearables. For devices where cutting-edge performance is a must, these kinds of chips can help deliver a truly next-generation agentic AI experience. They help eliminate AI lag, which can make even the most capable devices feel sluggish.
For larger devices with expandable storage options, BIWIN is pioneering entirely new storage standards with its Mini SSD. This award-winning storage design is already being adopted by some of the most agile device startups, showcasing that when it comes to the cutting-edge, sometimes you need to break the mold to find the ideal solution.
When Fast Enough, Isn’t Enough
In the past, benchmark results could define a device’s performance, but in the IQ Era, the key driving factor is user engagement, and that can only be enabled by a responsive experience. If an AI agent is fast, smart, and responsive, it will effectively engage the user and let them take full advantage of its agentic capabilities. Edge AI devices need memory and storage that can keep up invisibly, while remaining within tight budgets for power and physical dimensions.
BIWIN embedded storage technologies are right there on the leading edge, ensuring the next-generation of agentic AI devices have the high-bandwidth, low-footprint solutions they need for the IQ Era.
