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London’s Tromero raises £1.5M to build cheaper alternatives to Amazon AWS, Microsoft Azure and Google Cloud

Tromero founders
Picture credits: Tromero

As AI becomes an integral part of everyday life, it’s necessary to ensure the AI ecosystem is decentralised, democratic, and private. This offers a clear route by which AI can be cost-effective and easy to use for all. 

Going on the same lines, London-based Tromero has closed a £1.5 million seed round to launch a decentralised crypto mining platform for training AI models in a cost-effective way. The investment round was led by BlueYard Capital (which backed VSParticle, Next Matter, and Housecat). 

The funding will be used to build a team to deliver a functioning beta for a closed set of early-adopter clients and miners in 12 months. 

“In an industry that struggles to keep pace with the soaring demand for machine learning training, our new way of mining cryptocurrency ensures that GPUs are no longer wasted on meaningless hashing, like they are currently, but are utilised to solve meaningful problems requiring AI solutions,” said Tromero co-founder Sophia Kalanovska. “Our system breaks down some of the barriers that inhibit the creation of impressive AI models, fostering a future where AI is created by everyone for everyone.” 

“Efficient allocation of resources is rarely a bad idea,” added Tromero co-founder Charles Higgins. “Proof of Work mining is trusted by a large community, but it’s hard to argue that it is an efficient allocation of resources. Tromero offers a path by which Proof of Work mining becomes fundamentally useful.” 

A spokesperson for BlueYard Capital said: “Tromero provides a solution to these cost and supply pressures by supplying compute providers and miners a stream of revenue to optimise their return on capital. Given the industry’s inability to keep up with demand for machine learning hardware, we expect crypto-economic incentives to ensure there are no underutilised GPUs.”

AI training via crypto mining 

Tromero was launched by AI PhD researchers Sophia Kalanovska and Charles Higgins in 2022 while on the Conception X deeptech venture programme. It aims to intercept the massive compute power behind crypto mining and redirect it to solve useful machine learning problems that benefit more people – across drug discovery, battery optimisation and more.

Tromero’s system is built around a proprietary proof-of-training algorithm that allows miners to compete to solve AI problems provided by organisations in the startup’s network wanting to train AI models. By combining two computationally intensive processes -AI training and crypto mining into one, called Proof of Useful Work, the startup is able to offer large crypto rewards for miners, as well as payments in fiat money per job completed as additional incentives. 

This approach substantially reduces AI training and hosting costs for organisations, introducing a cheaper alternative to cloud providers such as Amazon’s AWS, Microsoft’s Azure, Google Cloud and most general distributed AI solutions available on the market.

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