VCs Pick 19 Startups to Watch Making AI More Efficient
European VCs have named 19 startups working to lower AI's cost and energy demands as data-centre construction lags.
European countries are racing to expand data-centre capacity to support AI’s compute needs, but construction is struggling to keep up. The startups on the list are approaching the problem by reducing the cost and energy required to train and run AI models, rather than only adding more hardware.
Sifted’s report notes that these companies are trying to “make more with less” in a context where compute resources are under strain from the AI boom. The selected startups span efforts to cut model costs and energy use, though the article does not provide full details on each company.
The list comes as investors increasingly look for efficiency-focused solutions to AI’s growing infrastructure gap. According to the report, the startups were picked out by VCs as ones to watch in this area.