8 articles tagged with AI Infrastructure.
Most teams shipping retrieval do not need a dedicated vector database. Here is where Postgres runs out, and which specialist actually helps when it does.
ChatGPT, Claude, and Grok degraded together when Azure East US failed. Gemini stayed up. Multi-provider failover does not help when your providers share a substrate.
EC2 Capacity Blocks went up around 15% in January and again in July. The increases track the memory shortage, and they change which GPU cloud is actually cheapest for your workload.
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.
A single quality score multiplies two failure modes together and hands you a number you can't factor back apart. Split it, and a regression tells you which half of the pipeline broke.
