The flagship product is CycleCloud, which supports Amazon Web Services, Google Compute Engine, Microsoft Azure, and internal infrastructure.
[4] In September 2011, a Cycle Computing HPC cluster called Nekomata (Japanese for "Monster Cat") was renting out at $1279/hour, offering 30,472 processor cores with 27TB of memory and 2PB of storage.
[5][6][7] In April 2012, Cycle Computing announced that, working in collaboration with scientific software-writing company Schrödinger, it had screened 21 million compounds in less than three hours using a 50,000-core cluster.
[8] In November 2013, Cycle Computing announced that, working in collaboration with scientific software-writing company Schrödinger, it had helped Mark Thompson, a professor of chemistry at the University of Southern California, sort through about 205,000 compounds to search for the right compound to build a new generation of inexpensive and highly efficient solar panels.
The computation would have taken over a month on internal resources, but completed in 7 hours running on 70,000 cores in Amazon Web Services, at a cost of less than $6,000.