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Hosting · 14 minOperating local AI in the company: From model testing to reliable serviceLocal AI makes sense when data paths, response times, adaptability or predictable use justify its own operation. However, a model on a computer is not yet a productive service. What is needed is a clear use case, representative quality measurement, roles and authorizations, controlled model and data versions, monitoring, capacity planning and a practiced restart.Kevin Kröger · reviewed 11/08/2026

Hosting · 14 minInfrastructure for local AI: implement securely and graduallyLocal AI infrastructure leads to predictable GPU performance with controlled data paths when pilot, releases, fallback path and phased rollout are clarified before tool selection. The practical start consists of a limited scope of application, designated responsible parties, measurable baseline values and a fallback path. What is important is not the amount of technology used, but whether benefits, risks and operation can be proven together.Nico Freitag · reviewed 11/08/2026

Hosting · 15 minInfrastructure for local AI: operate reliably over the long termLocal AI infrastructure leads to predictable GPU performance with controlled data paths when monitoring, maintenance, ownership and recovery are clarified before tool selection. The practical start consists of a limited scope of application, designated responsible parties, measurable baseline values and a fallback path. What is important is not the amount of technology used, but whether benefits, risks and operation can be proven together.Kevin Kröger · reviewed 11/08/2026

Hosting · 11 minCo-hosting and housing: make informed decisionsCo-hosting and housing leads to your own hardware in a professionally operated environment if requirements, exclusion criteria and decision-making scope are clarified before choosing the tool. The practical start consists of a limited scope of application, designated responsible parties, measurable baseline values and a fallback path. What is important is not the amount of technology used, but whether benefits, risks and operation can be proven together.Kevin Kröger · reviewed 11/08/2026

Hosting · 11 minCo-hosting and housing: build in security and data protectionCo-hosting and housing leads to own hardware in a professionally operated environment if protection requirements, authorization, logging and data minimization are clarified before choosing the tool. The practical start consists of a limited scope of application, designated responsible parties, measurable baseline values and a fallback path. What is important is not the amount of technology used, but whether benefits, risks and operation can be proven together.Nico Freitag · reviewed 11/08/2026

Hosting · 14 minCo-hosting and housing: start pragmatically in medium-sized businessesCo-hosting and housing leads to own hardware in a professionally operated environment when prioritization, small teams and immediately usable results are clarified before choosing the tool. The practical start consists of a limited scope of application, designated responsible parties, measurable baseline values and a fallback path. What is important is not the amount of technology used, but whether benefits, risks and operation can be proven together.Nico Freitag · reviewed 11/08/2026

Hosting · 14 minBackup and restore: start pragmatically in medium-sized companiesBackup and recovery results in provably recoverable data and systems when prioritization, small teams, and immediately actionable results are addressed before tool selection. The practical start consists of a limited scope of application, designated responsible parties, measurable baseline values and a fallback path. What is important is not the amount of technology used, but whether benefits, risks and operation can be proven together.Kevin Kröger · reviewed 11/08/2026

Hosting · 12 minContainer and Kubernetes platforms: reliably capture the current stateContainer and Kubernetes platforms result in repeatable deployment with limited operational risk when inventory, dependencies, and resilient baselines are clarified before tool selection. The practical start consists of a limited scope of application, designated responsible parties, measurable baseline values and a fallback path. What is important is not the amount of technology used, but whether benefits, risks and operation can be proven together.Kevin Kröger · reviewed 11/08/2026

Hosting · 15 minContainer and Kubernetes platforms: operate reliably over the long termContainer and Kubernetes platforms result in repeatable deployment with limited operational risk when monitoring, maintenance, ownership and recovery are addressed before tool selection. The practical start consists of a limited scope of application, designated responsible parties, measurable baseline values and a fallback path. What is important is not the amount of technology used, but whether benefits, risks and operation can be proven together.Kevin Kröger · reviewed 11/08/2026

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