LLMOPS & AI INFRASTRUCTURE • 282 / 397
Operate AI like production: serving, GPUs, latency, capacity, routing and reliability.
FP16
FP16 is 16-bit floating-point precision used to reduce memory and increase throughput on compatible hardware.
Think of it like
Think of FP16 like familiar infrastructure capacity and traffic engineering, except the scarce resources are often tokens, GPU memory and model latency.
Real life
High-scale AI services depend on FP16 to keep cost and latency under control.
SRE lens
Many AI workloads use FP16 rather than FP32.
Remember thisFP16 is 16-bit floating-point precision used to reduce memory and increase throughput on compatible hardware.