Blog

AI & GPUs.

Running language models on a GPU server of your own: how much VRAM you need, self-hosting, and the cost against cloud GPUs.

3 articles in this categoryRSS feed

AI & GPUsDedicated GPU server vs cloud GPU: cost, privacy and speedMonthly or hourly? How to find the break-even point between a dedicated GPU server and a cloud GPU, and what changes for availability, speed and privacy.26 September 20268 min read
AI & GPUsHow much VRAM do you need to run an LLM? (2026 guide)A practical way to size GPU memory for large language models: weights by precision, KV cache for context, headroom, and which GPUs fit models from 8B to 120B parameters.26 September 20269 min read
AI & GPUsHow to self-host an LLM on a GPU server (Ollama, vLLM)From an empty GPU server to a private, OpenAI-compatible endpoint: which card to rent, Ollama and vLLM setup, TLS and keys, benchmarks, privacy and cost.26 September 202610 min read

Essentials

The essentials, in one place.

Ready to put it into practice?

1Pick a server and a jurisdiction
2Pay in crypto, no ID asked
3Online in minutes

Deploy a server Compare all plans

From $2.39/mo · no setup fee · 5 cryptocurrencies