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LPool - Rack-scale servers to Revolutionize AI Datacenters for Fast, Sustainable, Cost-efficient Computing

CORDIS · observation · Publication date unknown

rbon emissions to run a specific job. Our LPool technology will thus significantly impact AI's scalable and sustainable growth for diverse sectors like healthcare diagnostic AI, greentech, enterprise generative AI, and much more. We have validated our technology through over 100K simulation runs of the Verilog code. Based on these promising results, we have attracted the interest of one of the world's leading chip vendors with whom we are in active discussions for them to license the IP for our technology. This project will allow ExpectedIT to complete the engineering of the full chip logic for the Pool chip, the LP-CPU, and server packaging. It will also enable us to double our team size to 30 to carry out these activities, including business developers, to accelerate our go-to-market. Our ambition is to reach 5 licensees and generate over €110 million in royalty revenues by 2031. large pool computer, data centre, computer hardware, high performance computing, server packaging

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recordType
award
status
SIGNED
region
EU
value
2499999
unit
EUR

Evidence & attribution

European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.

License: CORDIS reuse policy

First collected: 2026-09-20T04:21:15.460Z. This is not the publication date.