ASX 2009,005.90
-14.20(-0.16%)
NIKKEI65,020.94
+806.46(+1.26%)
NIFTY 5023,897.70
+24.25(+0.10%)
HSI25,650.87
+427.66(+1.74%)
SHANGHAI3,930.116
-11.972(-0.30%)
Trending:US MarketsAI & SiliconUSA Jobs DeskFed PolicyCybersecurityGov & LawEntertainmentSports Wire

A Stealth Startup Thinks It Just Hacked the Memory Shortage

Kepler Computing claims a new approach to chip design - and a proprietary material - can help end the supply bottlenecks that have sent memory prices surging.

By Nexvoro Tech Wire
PUBLISHED WED, SEP 9, 2026 2:34 PM UTC6 MIN READ

KEY POINTS

  • Primary coverage dispatched via Wired.
  • Signals noteworthy shifts in sector dynamics and operational developments.
  • Comprehensive factual details verified from official publication records.
  • Objective, non-partisan journalistic standards preserved.
A Stealth Startup Thinks It Just Hacked the Memory Shortage
PHOTO VIA WIREDNEXVORO EDITORIAL WIRE

Primary Journalistic Dispatch & Direct Reporting

A wafer carrying Kepler Computing's next-generation memory technology. Photograph: Courtesy of Kepler Computing Save this story Save this story An ambitious chip startup that has spent more than seven years quietly trying to redesign the architecture for computer memory has just come out of stealth mode and believes its new approach can help ease the global memory-chip shortage - provided it can produce its technology at scale.

Kepler Computing, a San Jose, California - based startup founded in 2018 by a team of physicists and computer scientists, says it has developed a new architecture for high-bandwidth memory (HBM) that directly addresses some of the chip supply bottlenecks that are constraining the computing market.

While chipmakers typically rely on expensive extreme ultraviolet lithography (EUV) to shrink the transistors on a chip, thereby packing more technology into the same amount of space, Kepler claims that its "3D stacking" approach and a proprietary new material allow it to increase density without relying on EUV at all - and it can work with existing semiconductor fabrication plants.

In-Depth Developments & Factual Context

Kepler says it has made similar gains for the high-speed cache memory typically used in CPUs, GPUs, and XPUs. This so-called SRAM sits within the core of a chip die in order to cut down on data transfer times. HBM, by contrast, uses stacks of DRAM, which is a separate memory component of chips.

The company has raised $468 million in funding over the past few years from big-name backers. This includes GlobalFoundries, Intel Capital, AMD Ventures, the British investment fund Baillie Gifford, and Bill Gates, through his private Gates Frontier fund. In July, the US Department of Commerce committed to give Kepler up to $245 million to "develop in the US a new class of high-performance AI memory technology, enabled by innovative 3D and ferroelectric technologies."

For now, much of Kepler's testing is happening in Singapore, which is where GlobalFoundries - a manufacturing partner and investor of $50 million - has a facility. Over the past two years Kepler has been building out what it refers to as "mini fabs," where it produces its memory chips in conjunction with Global Foundries' 28-nanometer chips. (It has also been running tests in GlobalFoundries' facilities in Burlington, Vermont.)

Industry Impact & Strategic Analysis

Kepler and its investors say the startup's new approach to building memory chips couldn't come at a better time. The global memory chip shortage has reaffirmed at least two realities about the market: Building new fabs is hugely expensive and painstaking, and the demands around certain kinds of memory tend to be cyclical. In a data-center-driven, AI-crazed world, HBM has become the memory du jour.

A semiconductor process chamber used by Kepler in its dedicated fab for developing next-generation memory devices.

Some of the world's leading memory makers, including SK Hynix and Micron , have been racing to build multibillion-dollar fabs in order to meet demand, wagering that even by the time those facilities are operational, the industry will still be looking for high-bandwidth memory.

Forward Outlook & Market Perspective

"For a long time our thinking was that we'd work on SRAM first and then follow up with DRAM and HBM," says Debo Olaosebikan, a Kepler Computing cofounder and its chief executive officer. "But with the launch of ChatGPT [in 2022] and the explosion of demand for an HBM alternative, we started working on our HBM road map. Now we're making SRAM and HBM in parallel."

"We didn't go in thinking that this would be a replacement for DRAM or a replacement for SRAM," says Srini Ananth, managing director at Intel Capital. "We figured the market would dictate that, and now you're seeing a demand for both."

In bypassing ultraviolet lithography, Kepler is one of a few tech startups working to avoid one of the major bottlenecks in semiconductor manufacturing. The startup claims it can produce SRAM that achieves the same density as 2-nanometer or 3-nanometer chips without having to invest in EUV.

"Kepler's approach is at the sweet spot of our strategy," says Ed Kaste, senior vice president of GlobalFoundries' CMOS business. "It's a new materials system, with multigenerational scaling potential, without having to build entirely new systems in the fab or invest in very expensive lithography equipment."

Kepler's overarching pitch is that the accelerated computing market shouldn't have to wait for brand-new memory fabs to be built in order to meet demand. Instead, new approaches to building memory within existing fabs can increase supply.

Their approach is twofold. In terms of improving HBM, Kepler says it has developed a novel 3D-manufacturing technique that fits more memory chips within a fixed footprint. The core compute can then sit closer to the memory, so the data travel between the two uses less energy. Their ultimate goal is to move data around in HBM with the amount of energy that's comparable to SRAM, all while keeping HBM's large capacity.

Reporting synthesized and verified under Nexvoro.tech editorial guidelines. Full primary records referenced via Wired.

Sponsored / Google AdSense SlotResponsive Leaderboard 728x90 / 970x250 (article-mid-story)
Reporting synthesized under Nexvoro.tech Editorial Standards • Referenced via Wired
Verified Dispatch
Related Tickers:#AI#US NEWS#WIRED

More Coverage in AI

View Topic Desk →
OpenAI Urges Global AI Standards and Safety Guardrails Amid Rising Industry Anxiety Over Recursive Self-Improvement
AI
AI17H AGO

OpenAI Urges Global AI Standards and Safety Guardrails Amid Rising Industry Anxiety Over Recursive Self-Improvement

As debate intensifies over the rapid acceleration of artificial intelligence, OpenAI has proposed a comprehensive framework for international safety standards, focusing heavily on alignment research and recursive self-improvement. The move follows recent high-profile departures and escalating concerns from industry insiders regarding humanity's long-term control over advanced frontier models.

CNBC World & Geopolitics6 min read
Inside the White House: How Nvidia CEO Jensen Huang Became President Trump's Most Trusted AI Ally
AI
AISEP 20

Inside the White House: How Nvidia CEO Jensen Huang Became President Trump's Most Trusted AI Ally

As Washington fiercely debates artificial intelligence oversight, Nvidia CEO Jensen Huang has emerged as President Donald Trump's top confidant, successfully pushing back against growing regulatory pressures. While rival tech executives advocate for government slowdowns, the head of the world's most valuable chipmaker is charting a rapid course for American tech supremacy.

CNBC Top News7 min read