4 articles tagged with AI Infrastructure.
The LLM stack is a maze of APIs, GPU clouds, gateways, and serving tools. This is the map to what each layer is for and how to keep the bill sane.
Ollama gets a model running on your laptop in minutes; vLLM serves thousands of production requests. Here's when each one earns its place.
Once you call more than one LLM provider, a gateway saves you from reinventing routing, fallback, caching, and spend limits in every service.
A practitioner's guide to picking a GPU cloud for training and inference, where hourly rates for the same H100 can differ by 3x.
