{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"Floating Point Operations Per Second — AI Glossary","author_name":"Glenn Katrud Solheim","author_url":"https://gaks.ai","width":600,"height":200,"html":"<div style=\"font-family:sans-serif;border:1px solid #e0e0e0;border-radius:8px;padding:16px;max-width:600px;background:#ffffff;color:#111111;\"><p style=\"margin:0 0 4px;font-size:11px;color:#666;\">AI Glossary — gaks.ai</p><h3 style=\"margin:0 0 8px;font-size:16px;\">Floating Point Operations Per Second (FLOPS)</h3><p style=\"margin:0 0 12px;font-size:14px;line-height:1.6;\">A measure of computational performance indicating how many floating point calculations a processor can perform per second. In AI, FLOPS are used to quantify the computational cost of training or running a model, and to compare hardware capabilities. Larger models require vastly more FLOPS to train, making it a key metric for estimating resource requirements and understanding the economics of AI development.  See also: GPU, training, scaling law.</p><a href=\"https://gaks.ai/glossary/floating-point-operations-per-second\" style=\"font-size:12px;color:#0077aa;\">Source: gaks.ai/glossary/floating-point-operations-per-second →</a></div>"}