Compute Throughput

Governments and industry are planning ever more, ever larger data centers to meet demand for data and AI services. Much of that build-out is unnecessary. F1R3FLY brings genuine parallel computing into the data center – many tasks processed at the same time instead of waiting in a queue. Given the right conditions (software designed to run in parallel, F1R3FLY's Rholang programming language doing the work, and – ideally – arranging the center so that memory and processing sit physically close together) it can multiply the useful work that even standard processors get through, several times over. That would mean two, three, four or more times the revenue from the same hardware, energy and running costs. On new-generation hardware in ideal conditions the gains are dramatically larger still, radically transforming the economics of such a center compared with today's standard model. Existing facilities could serve far more capacity within the same footprint, freeing a great deal of capital and substantially reducing environmental impact. Before building the next data center, consider making the economics of the current one scale to unprecedented levels by putting F1R3FLY at its heart. Or, if you already have data centers, consider the economic benefits of re-architecting them to generate many times your current throughput for broadly the same running cost as now.