Guides to running AI on your own terms

How to select, cost and deploy AI models on infrastructure European organisations control.

Self-hosted LLMs for European enterprises: the 2026 guide Running a large language model in-house: options, models, hardware, cost, security and regulation. September 2026 · 17 min read LLM inference cost explained: API versus own GPUs What an API bill and an own-GPU bill contain, with a worked break-even example in euro. September 2026 · 10 min read What hardware do you need to run an open-weight LLM? GPU memory, GPU choice and server sizing per model size class, from one card to an eight-GPU server. September 2026 · 10 min read On-premise vs private cloud AI in Europe How regulated organisations choose between on-premise, colocation and EU-owned or US private cloud for AI. September 2026 · 11 min read EU sovereign cloud providers compared (2026) Owner, jurisdiction, SecNumCloud and C5 status and H100 prices for eight EU-owned clouds, and why US sovereign regions stay under the CLOUD Act. October 2026 · 10 min read The US CLOUD Act and your AI data What the CLOUD Act reaches, how it clashes with GDPR, and which hosting options keep prompts, embeddings and logs out of reach. October 2026 · 10 min read Schrems II and AI: what it means for model hosting Schrems II to 2026 in dated steps, when an AI API call is a transfer to the US, and a nine-step hosting checklist. October 2026 · 10 min read

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Lindstead selects the model, calculates the cost and deploys it on-premise or in a European cloud.

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