Self-hosting gives you full control over data, latency, and cost. Inference servers (vLLM, TGI, llama.cpp) handle batching, KV-cache management, and quantized model loading. Key decisions: GPU selection (A100/H100/L40S), quantization level (FP16/INT8/INT4), and whether to use container orchestration (K8s + GPU operators).
The 5-Mode Loop
5 of 5 modes available
Read · See · Animate · Test · Build
Before this, understand: llama