Folding@home Passes 1.5 ExaFLOPS in compute performance

Folding@home sends word that its computing capacity accumulated by its users exceeded 1.5 EXAFLOPS or 1,500,000,000.00,000,000 floating point calculations per second. To make that a bit more understandable, you could imagine  112,000 RTX 2080 Ti cards simultaneously.

The Folding@Home team has not been sitting still, the project is nearly exploding and just before the weekend reached 470 petaflops in computing power. Previously Folding@home had 30K volunteers, who together accounted for roughly 100 petaflops of computing power on average. So that means the project is now surpassing the most powerful supercomputers in the world in terms of compute performance.  

To achieve this, Folding@Home users accumulated 4.63 million CPU cores and almost 430 thousand GPUs, the majority Nvidia. Considering the nature of distributed computing, not all CPUs and GPUs are online at all times, so the performance of Folding @ Home projects varies depending on hardware availability.

While not all workloads can be assigned to COVID-19, currently most computing power is used for the coronavirus project.An important part of the research is simulating proteins, for which GPUs are ideal. The whole decentralized system is used to make a protein that will function as an antibody,  able to fight the virus. The first protein that will help fight against Covid-19 has already been simulated. Let's hope that will help out the science and health communities. 

If you join in, it might take a while before a workload is assigned to you, just be patient. One note COVID-19 projects prefer fast GPUs. You can easily join up by downloading the client, which is easy to download and install. You do not need to utilize your PC or components 100%, but can choose light, medium and full settings, also in idle or always at work. If you like to donate GPU/CPU cycles, download the client, insert your nickname and if you want to Guru3D Team number: 69411 (or join any other team you prefer of course). You can also join anonymously.