- As AI data centers consume an ever-increasing amount of RAM chips, researchers are looking for cheaper, more scalable alternatives
- imec research seen by many to be the answer, even as engineering challenges continue to exist
- Two published studies using ferroelectric materials show capacitors essentially able to replicate modern DRAM functionality
It is no secret that AI has affected much of the world, with many welcoming the advent of a "smart" digital assistant, with others using it to speed up the more mundane tasks that previously required oversight.
On the flip side of the equation, some finding their jobs redundant, others being forced to upskill or pivot to different industries just to eke out a living in 2026.
There is however, one area which has been significantly impacted where the effect might have been understated so far: the PC hardware industry.
DRAM for data centers first
The reason the PC hardware industry (and, to a lesser degree, the smartphone and game console industries), or any industry that uses fast RAM and NAND flash for its core functionality, is affected is overwhelming demand in data centers.
With billions of dollars in buildouts and procurement budgets, the average consumer is unlikely to compete for memory with a data center being built by hyperscalers and with good reason: there is simply too much money at stake here.
The problem for data centers, however, is a different one: despite consuming nearly 70% of all memory produced in 2026, resulting in the worst memory supply crunch in the last 15 years, things are projected to only get worse, even as demand continues to grow unabated.
With memory giant Micron telling consumers to wait till 2028 before they can expect any relief in their segment, and SSDs heading down the same path, thanks to a similar situation when it comes to high-density NAND flash-based storage, AI data centers are also looking for a memory breakthrough that could allow for cheaper, faster memory in the near future to better handle their needs.
European chip research lab imec seems to be working on an answer, however. At the 2026 IEEE/JSAP symposium on VLSI Technology & Circuits, the event showcased two major advances that could enable new ferroelectric memory to become mainstream over the next decade, as it attempts to address the AI-centric memory shortage with a solution that better caters to data center consumers.
At the heart of the current breakthroughs is a ferroelectric capacitor that operates at low voltage, enabling a large number of write cycles and holding charge well, making it a potentially viable replacement for traditional DRAM-based memory.
The second is a transistor that they have managed to stack vertically, enabling a denser NAND-flash-style storage design while adding a back-gate modification to fix its memory-erasure issues.
FeRAM is not a new concept; first conceived in 1952, it holds massive promise, even as most researchers concur. It had, until recently, limited interest, but a world spending billions on AI data centers, with memory and storage increasingly scarce resources, has brought it back to the forefront, even if most of its gains still keep it limited to lab conditions.
“This work shows how imec’s multidisciplinary expertise, from materials science to advanced 3D integration, enables us to tackle some of the most pressing challenges in memory technology," noted program director at imec, Maarten Rosmeulen. "We are exploring multiple paths toward the memory solutions that will be required to sustain the rapid growth of AI and data-intensive applications."
It must be noted that imec does not operate in a vacuum; It shares its research with hundreds of industry partners, including chip designer Nvidia, photolithography systems manufacturer ASML, and fab giant TSMC.
Other industrial partners include Intel, Samsung, Micron, Qualcomm, AMD, and Apple, indicating that its research could eventually be integrated into future memory offerings by multiple interested entities, including other hyperscalers.
Should imec's research solve the modern datacenter conundrum by offering a cheaper, denser memory module using different materials, it could very well spark a new AI-centric war for high-end storage and memory.
But for now, it seems to require a considerable amount of time before it is production-ready, with imec admitting it was "addressing remaining challenges" while reminding interested parties that the entire breakthrough was still a proof of concept and still in the research stage.
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