Ready to Use
Models, interfaces and dependencies installed and configured.
AI Launchpad
Ready-to-deploy private AI infrastructure.
Deploy Your Private AI Infrastructure
Launch preconfigured AI servers with leading open-source models, private interfaces and production-ready tools.
Skip complex installations and infrastructure setup. Choose your AI environment, deploy your server and start building.
Why private AI
Infrastructure built for control and growth
Move beyond a plain AI VPS: get a self-hosted AI environment prepared for real workloads.
Private Infrastructure
Your prompts, documents and workloads remain in your own environment.
Flexible Deployment
Choose CPU, GPU, memory, storage and deployment location.
Built for Growth
Scale from testing environments to production AI workloads.
Catalog
AI server catalog
Preconfigured private AI servers for development, internal tools and production inference — including DeepSeek, Llama, Ollama hosting, Open WebUI, vLLM, RAG and MCP.
AI Development
CPU / GPU options
DeepSeek Ready
A private server with DeepSeek, Ollama and the required dependencies installed and configured.
Use cases
- coding assistance
- private chat
- experimentation
- internal AI tools
Technologies
DeepSeek
Ollama
Linux
API access
Starting at — contact for quote
Private Language Model
CPU / GPU options
Llama Ready
Run Meta Llama models in your own private cloud environment with full control over data and access.
Use cases
- private assistants
- internal knowledge tools
- content workflows
- application integration
Technologies
Llama
Ollama
Linux
API access
Starting at — contact for quote
Model Library
CPU / GPU options
Ollama Server
A preconfigured Ollama environment where customers can install and manage compatible AI models.
Use cases
- model testing
- API development
- local inference
- multi-model environments
Technologies
Ollama
model management
API endpoint
Linux
Starting at — contact for quote
Private ChatGPT Alternative
CPU recommended · GPU optional
Open WebUI + Ollama
A private ChatGPT-style interface connected to Ollama and hosted entirely on the customer’s server.
Use cases
- team AI chat
- private assistants
- document interaction
- internal AI access
Technologies
Open WebUI
Ollama
Docker
reverse proxy and SSL-ready configuration
Starting at — contact for quote
High-Performance Inference
GPU recommended
vLLM Inference Server
An optimized inference environment designed to serve compatible language models through high-performance APIs.
Use cases
- production APIs
- AI applications
- concurrent requests
- model serving
Technologies
vLLM
OpenAI-compatible API
GPU support
monitoring-ready configuration
Starting at — contact for quote
Your Data, Your AI
CPU / GPU options
Private RAG Server
A private retrieval-augmented generation environment that allows customers to connect AI models with their own documents and knowledge sources.
Use cases
- document search
- internal knowledge assistants
- manuals and procedures
- customer support knowledge bases
Technologies
Open WebUI or custom interface
Ollama or vLLM
Qdrant or Chroma
document ingestion pipeline
API access
Starting at — contact for quote
AI Tools and Automation
CPU focused
MCP Automation Server
A server prepared to connect AI models with external tools, APIs, databases and automated workflows using the Model Context Protocol.
Use cases
- AI agents
- business automation
- internal tools
- database and API integrations
Technologies
MCP server environment
Docker
API gateway
authentication-ready configuration
logging
Starting at — contact for quote
How it works
From selection to a private AI environment
Choose Your AI Environment
Select a ready-made solution or request a custom stack.
Configure Your Server
Choose compute, memory, storage, location and optional GPU resources.
We Deploy the Stack
The operating system, AI software and required services are installed and configured.
Start Building
Access your private interface, APIs and server administration credentials.
Privacy
Private AI Means Your Data Stays Yours
Unlike public AI platforms, AviatorServers deployments run inside dedicated customer environments. Prompts, uploaded documents, vector databases, API activity and application data remain under the customer’s control.
- Isolated deployment
- Private access
- SSL-ready
- Customer-controlled credentials
- Optional backups
- No shared conversation history
Custom stacks
Need a Custom AI Stack?
We can prepare custom environments combining open-source models, private interfaces, vector databases, APIs, automation tools and customer applications.
- Open WebUI + Ollama + Qdrant
- vLLM + OpenAI-compatible API
- Private RAG with customer documents
- MCP server with business integrations
- AI development sandbox
- Private coding assistant
- Multi-user internal AI portal
Consultation
Tell us about your AI deployment
Share project requirements for a private AI server, GPU AI server or custom stack. Our team will respond with recommended configurations.
FAQ
Frequently asked questions
Practical answers about private AI servers and self-hosted AI infrastructure.
What is an AI-ready server?
An AI-ready server is a private cloud instance delivered with selected open-source AI software preinstalled and configured, so you can start using models, interfaces or APIs without building the stack from scratch.
Can I choose which AI model is installed?
Yes. You can select a ready catalog option or request a specific compatible model as part of a custom deployment. Final model choice depends on licensing, hardware and technical fit.
Are my prompts and documents private?
Deployments run in dedicated customer environments. Prompts, uploaded documents and related application data stay within that environment rather than on a shared public AI chat platform. Operational access controls still apply.
Do I need a GPU?
Not always. Smaller models and lighter workloads can run on CPU. High-performance inference, larger models or concurrent production traffic usually benefit from GPU resources.
Can I access the model through an API?
Most catalog options are prepared with API access where the selected stack supports it. Exact endpoints and authentication details are provided with your deployment.
Can AviatorServers create a custom AI environment?
Yes. We can combine open-source models, private interfaces, vector databases, APIs, automation tools and customer applications into a tailored stack.
Can the server be upgraded later?
Resource upgrades are typically available subject to capacity and plan options. Share your growth needs and we will outline feasible upgrade paths.
Do I receive administrator access?
Yes. Server administration credentials are provided so you can manage your environment according to the selected product configuration.
Are backups included?
Backup options can be discussed during configuration. Availability and retention depend on the selected plan and any optional backup services enabled for the deployment.
Can multiple team members use the same server?
Yes, when the selected interface or application stack supports multi-user access. Access policies and credentials remain under your control.
Launch Your Private AI Environment
Deploy an AI server prepared for development, internal use or production workloads.