CUDOS-Kings Partnership Promises Distributed HPC and Democratized Scientific Computing

We hear it all the time. Cloud is exploding in growth as the internet becomes evermore intertwined in our lives. We share pictures, videos, stories, information, research, knowledge. In computing terms though, we share just one thing…. Data. We live in an interconnected world where data is the new oil and the infrastructure that powers that data is operated by a handful of behemoth companies largely in the US and China turning each of your online actions into billions of dollars of accumulated revenue.

Congratulations to these companies, the current commercial cloud oligarchyThese companies have transformed the last decade and we should celebrate their success. But is there now a more sustainable and equitable alternative, have they become too big, too powerful and too expensive, i.e. are we paying too much for the convenience of their service offerings?

What if there was a way to replicate the success of other sharing economy models such as Uber or Airbnb, but for computing power? We’re already sharing data afterall, so sharing computing power is surely a natural evolution in technology.

What if we can make better use of the world’s computing power, a more sustainable approach whereby we better utilise the existing computing power available rather than continually build more and more servers and data centres to cope with the peaks of demand (leading to heavy underutilisation during non-peak hours)?

What if we could utilise the computing power on your kids gaming PC or console, or the 2.7 billion smartphones that sit idle whilst you’re asleep?

And….What if we could use a financial model whereby, each and every device that contributed to this new type of cloud earns a piece of the pie?

Good news! The above exists and it’s called distributed computing and with distributed computing, comes distributed wealth. A chance for anyone or any business, including existing infrastructure providers to monetise their assets. An innovative technology that combines the right type of job, to the right type of environment, at the right level of security, all at the control of the users fingertips.

The science community has used distributed computing for 20 years already, with projects like SETI@home, where volunteer computers can donate their spare processing power in the search for alien life. Kings Distributed Systems (Kings) and Cudo, two innovative companies located in Canada and the UK respectively, are launching their distributed computing platforms in the coming months. Both companies share the vision of democratizing access to computing resources, and see great opportunities to synergize together in delivering value to both the scientific and commercial worlds. Kings’ educational non-profit arm, Distributed Compute Labs, provides free on-prem computing networks to educational institutions worldwide to accelerate research computing; and Cudo, similar to Kings in its general platform approach for verticals extending from blockchain to AI and from 3D graphics to game streaming, has demonstrated an alternative approach to building a distributed computing platform, first focusing on building a formidable supply base of both enterprise and consumer edge devices. Their ethos is to make computing more sustainable and to find innovative solutions for both commercial and charitable endeavours, with an impressive network in over 145 countries. The two companies have partnered to connect buyers of cloud computing to sellers of computing power.

Matt Hawkins CEO & founder of Cudo ‘We’re extremely happy to be partnering with Kings. They are a team of scientists and technologists building a platform for the betterment of society and like us, they want to bring down the cost of computing to make it more accessible to a global audience and use technology for good.’

Dan Desjardins CEO of Kings Distributed Systems ‘We see great opportunities to synergize with Cudo. There currently exists a “compute divide” that concentrates power and accelerates inequality in this era of data science and digital economies. Our shared mission of democratizing compute will help lessen that divide and redistribute wealth. We look forward to working with Cudo.”

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