Aggregate CPU Power: Datacenters vs. End-User Devices When considering the aggregate CPU power of datacenters versus end-user devices in the U.S., the disparity is striking. Here’s a breakdown of the aggregated computational power of both setups. Aggregate Power of Datacenters Total CPU Count: A typical large datacenter can house thousands to tens of thousands of servers. Assuming an average of 16 CPU cores per server, this can translate to hundreds of thousands to millions of CPU cores. Performance Estimation: If we estimate a conservative average of 10 teraflops per server, a datacenter with 10,000 servers could achieve: 10,000 servers × 10 teraflops/server = 100,000 teraflops (or 100 petaflops). Higher Scale Examples: Major cloud providers like Amazon Web Services (AWS) or Google Cloud can aggregate even greater power, reaching 1 exaflop (1,000 petaflops) or more through optimized hardware and workload distribution. Aggregate Power of End-User Devices Total CPU Count: There are approximately 300 million personal computers (desktops and laptops) in the U.S. Assuming an average of 4 CPU cores per device, this results in about 1.2 billion CPU cores. Performance Estimation: If we take an average performance of around 500 gigaflops per device, the aggregate computational power would be: 300 million devices × 500 gigaflops/device = 150,000 teraflops (or 150 petaflops). Summary of Aggregate CPU Power Datacenters: 100 to 1,000+ petaflops (potentially reaching exaflops) End-User Devices: 150 petaflops This aggregate comparison clearly illustrates that datacenters collectively provide an order of magnitude more computational power than all end-user devices combined. The architecture and capabilities of datacenters offer substantial advantages for large-scale processing needs, whereas end-user devices serve general consumer purposes. Chatgpt