Tech giant you’ve probably never heard of wants to put a data center in a shoebox build using 1000 3D superconducting chips — at 20 exaflops, it would be 20x faster than the most powerful supercomputer on Earth


To counter the strain on global energy resources due to accelerating computational demands – yes, AI, we’re looking at you – research institute imec is suggesting a radical shift away from traditional computing methods.
Its solution, detaile in IEEE Spectrum engineering magazine, involves exploiting the fundamental properties of superconductors to greatly reduce energy consumption, thereby creating an innovative, superconducting processor.
This promising technology has been in development for a couple of years so far and uses standard CMOS fabrication techniques which can potentially offer computing power that is a hundred times more energy-efficient than today’s best chips, and which could “lead to a computer that fits a data-center’s worth of computing resources into a system the size of a shoebox.”
20 exaflops
Imec’s research involved designing a new kind of processor from the ground up, with close collaboration between CMOS engineers and full-stack development teams.
Imec switched from using niobium as it superconducting material to the related compound niobium titanium nitride as it can withstand temperatures used in CMOS fabrication without losing its superconducting capabilities.
The resultant superconducting chip, optimized for AI processors, resembles a typical 3D CMOS system-on-chip. However, one significant difference is that most of the chip must be submerged in liquid helium to ensure optimal operating temperature, close to 4 Kelvin.
In comparison to conventional CMOS chips, superconductors dissipate only a fraction of the energy in the form of heat. This feature enables the possibility of stacking computational chips directly on top of each other, reducing the physical footprint while preserving the density gains brought about by Moore’s Law.
Sign up to the TechRadar Pro newsletter to get all the top news, opinion, features and guidance your business needs to succeed!
Imec estimates that a stack of 100 superconducting boards, each with superconductor processing units (SPUs), superconducting SRAM, and DRAM memory stacks and housed in a 20 x 20 x 12 centimeter shoebox-sized cooling environment, can perform a staggering 20 exaflops in BF16 number format. This is 20x the capability of the most powerful supercomputer currently in existence (Frontier at the Oak Ridge National Laboratory, Tennessee) consuming a total of 500 kilowatts of power. It also offers 100x the level of energy efficiency.
Imec’s innovation does not aim to replace existing CMOS computing technologies, but rather to supplement them. Institute researchers believe the tech will boost AI and machine learning, and integrate seamlessly with quantum computers.
The smaller data center footprint made possible by superconducting digital technology will allow these systems to be placed closer to their target applications, ultimately yielding colossal advancements in industries like agriculture, healthcare, and energy.
More from TechRadar Pro
To counter the strain on global energy resources due to accelerating computational demands – yes, AI, we’re looking at you – research institute imec is suggesting a radical shift away from traditional computing methods. Its solution, detaile in IEEE Spectrum engineering magazine, involves exploiting the fundamental properties of superconductors to…
Recent Posts
- FTC Chair praises Justice Thomas as ‘the most important judge of the last 100 years’ for Black History Month
- HP acquires Humane AI assets and the AI pin may suffer a humane death
- HP acquires Humane Ai and gives the AI pin a humane death
- DOGE can keep accessing government data for now, judge rules
- Humane’s AI Pin: all the news about the dead AI-powered wearable
Archives
- February 2025
- January 2025
- December 2024
- November 2024
- October 2024
- September 2024
- August 2024
- July 2024
- June 2024
- May 2024
- April 2024
- March 2024
- February 2024
- January 2024
- December 2023
- November 2023
- October 2023
- September 2023
- August 2023
- July 2023
- June 2023
- May 2023
- April 2023
- March 2023
- February 2023
- January 2023
- December 2022
- November 2022
- October 2022
- September 2022
- August 2022
- July 2022
- June 2022
- May 2022
- April 2022
- March 2022
- February 2022
- January 2022
- December 2021
- November 2021
- October 2021
- September 2021
- August 2021
- July 2021
- June 2021
- May 2021
- April 2021
- March 2021
- February 2021
- January 2021
- December 2020
- November 2020
- October 2020
- September 2020
- August 2020
- July 2020
- June 2020
- May 2020
- April 2020
- March 2020
- February 2020
- January 2020
- December 2019
- November 2019
- September 2018
- October 2017
- December 2011
- August 2010