✦
Private Inference
Keep model execution and application data inside your own environment.
Private by designAI VPS
Build private AI infrastructure without complexity.
Compute optimized for AI agents, inference APIs, RAG pipelines and private machine-learning workloads.
ai.vpsroom
$ python serve_model.py
✓ Loading model weights
✓ Allocating inference memory
✓ Starting private API
✓ Health endpoint ready
AI endpoint deployed successfully.● Inference service online00:42
A practical foundation for private AI workloads.
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Memory Optimized
Flexible RAM profiles for agents, embeddings and model serving.
Up to 64 GB✦
AI Stack Planning
Plan resources for Ollama, Open WebUI, vector databases and automation tools; installation is separate.
Self-managed✦
Scalable Compute
Increase compute and storage as your AI workloads grow.
Flexible resourcesRecommended Configurations
Choose an AI-ready starting profile.
Choose a ready configuration or continue to the Server Builder for complete control.
AI Starter
Lightweight agents, embeddings and development workloads.
$39/month
- CPU
- 4 vCPU
- Memory
- 16 GB RAM
- Storage
- 200 GB NVMe
- Backup
- Daily
AI Builder
Private LLMs, RAG pipelines and production AI applications.
$79/month
- CPU
- 8 vCPU
- Memory
- 32 GB RAM
- Storage
- 400 GB NVMe
- Backup
- Daily
AI Performance
Larger models, multiple services and demanding inference.
$149/month
- CPU
- 16 vCPU
- Memory
- 64 GB RAM
- Storage
- 800 GB NVMe
- Backup
- Daily
Final prices come only from Commerce in the Builder.
From inference to intelligent automation.
Private LLMs
Serve language models without sending prompts to third parties.
RAG Applications
Combine vector search, databases and model inference.
AI Agents
Run autonomous workflows and tool-connected assistants.
Inference APIs
Expose secure model endpoints to internal applications.
Embeddings
Generate and store embeddings for semantic search.
AI Development
Create repeatable environments for model experimentation.
Run AI with confidence.
Clear answers about deployment, resources, networking and growth.
Can I run private LLMs?+
Yes. The recommended profiles are designed for Ollama, Open WebUI and private inference services.
Is GPU available?+
GPU-enabled profiles are planned as a separate product tier and can be exposed through the same Builder architecture.
How much RAM do I need?+
Small models can start around 16 GB, while larger or concurrent workloads commonly need 32–64 GB or more.
Can I deploy a vector database?+
Yes. PostgreSQL with pgvector, Qdrant and similar services can run alongside your AI application.
Is backup recommended?+
Yes, especially for model configuration, vector data, application state and custom datasets.
Server Builder
Deploy AI VPS →Build private AI infrastructure without complexity.
Choose a configuration in the VPSRoom Server Builder.