Data sovereignty: why EU companies keep AI in-house
Why European organisations run AI on private, EU-hosted infrastructure, and how a GDPR-conscious setup helps.
ReadPractical, no-hype writing on GPU servers, private LLM hosting, networking and how to size infrastructure for real AI workloads.
Why European organisations run AI on private, EU-hosted infrastructure, and how a GDPR-conscious setup helps.
ReadBeyond the sticker price: power, hosting, network, depreciation and team time over the life of the machine.
ReadGPU servers draw serious power and heat. Why metered billing is fairer and how it shapes colocation cost.
ReadFor steady, 24/7 AI workloads, owning and colocating hardware often beats metered cloud on cost and control.
ReadYou own the server, we provide the rack, power, cooling and network. Who benefits and how per-U pricing works.
ReadA checklist for matching GPUs, memory, storage and network to your workload.
ReadWhy product teams move their GPU layer onto dedicated, predictable hardware.
ReadThe building blocks of retrieval-augmented generation on private servers.
ReadA GDPR-conscious approach to running AI on hardware you control.
ReadWhere bandwidth becomes the bottleneck, and when to step up to 40 or 100GbE.
ReadA practical way to think about VRAM, model size and batching when sizing an inference server.
ReadWhen a dedicated GPU server beats a metered public API, on cost, control and privacy.
ReadHow self-hosting open models on dedicated hardware keeps prompts and data inside your own infrastructure.
ReadTell us what you want to run and we will design the right GPU server, host it and hand over full control.