AI infrastructure guides
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Answer-first guides to choosing a GPU cloud, sizing GPU memory, running agents around the clock and checking AI hosting against the GDPR. Every guide cites its primary sources and pulls prices from the live dataset.
All guides
How to choose a GPU cloud provider
A practical checklist for comparing GPU cloud providers on price, availability, billing, storage, regions and operations.
How much VRAM do you need to run an LLM?
How model size, precision, quantization, context length and batch size drive GPU memory — with worked estimates.
How to host an AI agent 24/7
Choosing between a VPS, managed platform or GPU instance for always-on agents: persistence, secrets, backups and cost.
Serverless vs dedicated GPUs for inference
When per-second serverless GPUs beat an always-on instance, and when they do not — cold starts, utilisation and billing.
GDPR AI hosting: an EU data-residency checklist
What to check before running AI models on personal data under the GDPR: EU regions, processor contracts, sub-processors, transfers, jurisdiction and isolation.
Decision tools
Each tool publishes its formula and uses verified prices from the dataset.
How we write guides
Answer first, primary sources cited inline, live figures from the dataset and a visible update date. No sponsored guides.