AI Hosting in Nepal

Yes, on CPU. The VPS plans use AMD EPYC v3 Milan vCPUs with 6–48 GB RAM. Quantized open-source models (GGUF) run through tools such as Ollama. As a rough sizing guide, a 7B model at 4-bit quantization needs about 5–6 GB of free RAM and a 13B model about 9–10 GB; leave room for the OS and your other services. CPU inference is much slower than GPU inference and NepalCloud has not published benchmarks, so test your model before committing to a long term.

No. All VPS plans are CPU-only. For training or large-model inference, use the VPS as an orchestrator that calls an external GPU or AI API, and account for that provider's data handling.

You choose a region at checkout: Washington D.C., London, Los Angeles, Tokyo, Montreal, Amsterdam, Frankfurt, San Francisco or Singapore (some regions add a small monthly charge). There is no datacenter region in Nepal. If you have data-residency obligations, confirm them before ordering.

Popular options: n8n (workflow automation), Ollama + Open WebUI (local chat), Dify, Langflow, Flowise, Qdrant or Chroma (vector databases), and other Docker-based tools. Check each tool's license and system requirements.

VPS 2 (6 vCPU, 16 GB RAM, about Rs. 3,200/month equivalent on a 12-month term) suits n8n workflows that call external LLM APIs. For local models alongside n8n, VPS 3 (24 GB) or Cloud VPS 4 (48 GB) leaves more memory headroom.

It can be for steady workloads, because the server price is fixed rather than per request. It can also be slower and more limited than hosted models, and you carry the administration. Compare against your actual request volume and model quality needs.

Yes. Full root access with your chosen Linux distribution. Install Docker and Docker Compose and deploy your stack. Most AI tools (n8n, Dify, Ollama, Open WebUI) publish official Docker images.

Yes, within the plan's RAM and CPU. A local model plus n8n, Open WebUI and a vector database usually needs VPS 3 (24 GB) or Cloud VPS 4 (48 GB). Monitor memory use and scale up if needed.

A self-hosted model keeps prompts and documents on your VPS rather than with an AI API provider. The VPS itself is outside Nepal in the region you select, and data leaves the server if you call external APIs or copy backups elsewhere. You are responsible for securing the server.