Amazon Web Services adds computing power to Folding@Home

Amazon Web Services (AWS) has added a heap of computing power to Folding@Home's fight against the coronavirus. It is now the third biggest contributor to the project.

Folding@Home is a distributed computing project that harnesses the spare processing power of computers around the world to research remedies for disease. Its latest efforts are on working out how to create a coronavirus cure. 

As reported by Decrypt, over 1 million PC owners have joined the fray, donating over one exaflop of processing power to Folding@Home—creating the world's fastest supercomputer.

Now, with the addition of AWS, the supercomputer just got that much more powerful.

"A mysterious team called "AWSFolds" is using a massive amount of AWS spot capacity," wrote a Twitter user.

In the few weeks since AWS joined, it managed to climb up the ranks in almost no time at all. While it only started ramping up its processing power on April 27, it is already ranked 20th in all-time contribution. But with its massive resources, those using their home computers are starting to feel irrelevant. 

"I know every WU counts, but with all these big boys stepping in, I almost feel useless. Almost," wrote one contributor. A WU, or Work Unit, is a unit of measurement of computing power. 

AWS is not the only big firm to take part. A consortium of tech firms are getting involved in the project. 

Assembled by the US Federal Government, the COVID-19 High Performance Computing Consortium includes industry leaders ranging from AWS, Google Cloud, and IBM, to Microsoft, NVIDIA and Hewlett Packard Enterprise—all united to provide as much processing power as humanly possible.

One million PC owners combine their GPU power to fight COVID-19

Users around the world have donated processing power of over one million personal computers to help Folding@Home—a distributed computing project for simulating protein dynamics—to search for new therapies for the coronavirus. “There are now over 1M devices running @foldingathome!” the project’s director Greg Bowman said, in a tweet, on March 31. There are now over 1M devices running @foldingathome ! This includes over 356K @nvidia GPUs, over 79K @AMD GPUs, and over 593K CPUs! Thanks to all our...

"Fighting COVID-19 will require extensive research in areas like bioinformatics, epidemiology, and molecular modeling to understand the threat we're facing and form strategies to address it,” reads the consortium manifesto, "This work demands a massive amount of computational capacity."

The consortium hopes that by rendering access to a bulk of resources, researchers will be better equipped to find treatments for the coronavirus.