-Inference: Ollama / llama.cpp (quantized models ≤7B); token streaming (SSE/WebSocket); autoscaler driven by request queue depth + Jetson tegrastats GPU load
-Cold starts: warm-pool containers with pre-loaded quantized models (to avoid long load times on 4 GB memory)
-Networking: Envoy ingress; TLS.
-Observability: Prometheus/Grafana; structured logs; tracing.
-Billing: pay-as-you-go; mobile money (M-Pesa/Airtel); per-token + per-GPU-hour meters.
-Data: in-region storage; encrypted; no training on customer data.
-Limitations: fewer regions vs AWS; GPU supply fluctuates; docs still early.
-Roadmap: more African regions, spot-GPU pricing, fine-tune jobs.
-Ask: brutal feedback on scaling strategy + CLI UX.