FP32 vs FP16 vs BF16 vs FP8 vs INT8 vs INT4: AI Precision Guide

The AI Precision Dilemma: A Master Chef Analogy Simple answer: FP32, FP16, BF16, FP8, INT8, and INT4 are different ways to store numbers in AI models. Moving to fewer bits can reduce memory and increase throughput, but only testing can show whether quality remains acceptable for a specific model and workload. Every Executive's Nightmare Picture this: You're running the world's most exclusive…