GPU inference: production guide to running AI models | Hivenet

Learn how GPU inference works in production, from running trained AI models on new data to optimizing latency, throughput, VRAM, memory bandwidth, batching, quantization, KV cache, and cost per token. This guide explains when to use CPUs, consumer GPUs, data center GPUs, and stable cloud GPU infrastructure.