Most SaaS startups eventually need three infrastructure layers: shared compute for early-stage workloads (Cloud VPS), dedicated compute when traffic demands consistent performance (Cloud VDS), and scalable object storage for user uploads, backups, and media. The question is whether to assemble these from separate providers — adding cost, complexity, and cross-provider egress fees — or to

The most important component for running AI agents locally isn’t the CPU — it’s GPU VRAM. The entire language model must fit into video memory to run at practical speeds, and VRAM is the limiting factor that determines which models you can use. A 16-24 GB VRAM GPU covers the majority of serious local agent

The answer depends on one question before any spec number: is your agent calling an external API (OpenAI, Claude, Gemini) or running the model locally? When the agent uses external APIs, the VPS handles orchestration only — a lightweight process that needs surprisingly little hardware. A Contabo Cloud VPS 4 (4 vCPU / 8 GB

Nextcloud itself is free, open-source software — you only pay for the server it runs on. For a team of 10-15, two paths keep costs under €5-10 a month. The first is a self-hosted VPS: Contabo’s Cloud VPS 4 (4 vCPU / 8 GB RAM, €4.50/month) with a free 1-click Nextcloud installation, costs the same

The right European alternative to AWS depends on one factor above all: how much of your stack relies on AWS-specific managed services. If you’re running Kubernetes, Postgres, object storage, and Terraform — the portable core of most SaaS architectures — Hetzner, Scaleway, and OVHcloud all offer credible paths. Hetzner gives you the lowest compute cost;