AnythingLLM Hosting

Deploy any open-source LLM on a high-performance server with maximum data security.

A full-stack application for running private AI assistants with support for document ingestion, vector databases, and multi-user workspaces.

AnythingLLM
  • Start small and scale resources linearly as your AI application grows. By only paying for what you actually use, you maintain tighter cost control.
  • Customize your servers with the exact CPUs, speedy NVMe SSD storage, and massive RAM for inference speed that matches or beats commercial APIs.
  • Your prompts, responses, and fine-tuning data never leave your infrastructure. Perfect for sensitive applications, proprietary data, and strict compliance requirements.
  • Pay only for server time, not per token or API call. Run unlimited inferences, fine-tune models, and experiment freely.

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Additional traffic is only $0.01 per GB
Additional storage is only $0.05 per GB per month
Hourly servers are billed per minute

$12,00 /hour

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Frequently asked questions

What are the system requirements for deploying AnythingLLM?

This is the minimum value for running AnythingLLM. This will be enough for you to store some documents, send chats, and use AnythingLLM features.

RAM: 2GB
CPU: 2-core
Storage: 5GB

For more detailed information, refer to the AnythingLLM system requirements.

What operating systems are best for LLM deployment?

Linux distributions like Ubuntu Server or CentOS are typically preferred, as they offer the stability, minimal overhead, and full hardware support necessary for popular LLM frameworks like PyTorch and TensorFlow.

What are the most common use cases for AnythingLLM?

Private enterprise AI and document intelligence
AnythingLLM excels when organizations need to chat with their proprietary documents, codebases, or knowledge bases while maintaining complete data privacy. It’s ideal for companies that want ChatGPT-like capabilities for internal documentation, customer support knowledge bases, technical manuals, or confidential business data without sending sensitive information to external AI providers. Teams can upload PDFs, spreadsheets, code repositories, or entire wikis and query them conversationally while keeping everything on their own infrastructure.

Multi-user AI workspaces and custom AI agents
The platform shines for teams that need different AI configurations for different projects or departments. You can create separate workspaces with different LLM models, system prompts, document collections, and access permissions—perfect for agencies managing multiple clients, development teams working on various projects, or enterprises with different departmental needs. Combined with its agent capabilities for web scraping, code execution, and tool integrations, AnythingLLM becomes a customizable AI assistant that adapts to specific workflows rather than forcing everyone into a one-size-fits-all solution.

Can I scale my resources if my user traffic suddenly increases?

Absolutely. Kamatera’s cloud platform allows for rapid vertical scaling. You can adjust the vCPU, RAM, and storage with minimal downtime to handle unexpected surges in inference requests.

How does hosting my own LLM improve security compared to using an API?

When you use an external API, your prompt data is processed on the vendor’s servers. By hosting your model on Kamatera, the processing occurs entirely within your dedicated, isolated server environment, ensuring your sensitive input data never leaves your control.

Why would I self-host LLMs instead of using APIs?

Three main reasons: cost savings at scale, complete data privacy, and total control (no rate limits, customize everything, choose any model). If you’re building AI-heavy applications or working with sensitive data, self-hosting often makes more technical and financial sense than API dependencies.

What LLMs can I run on Kamatera?

Any open-source LLM available on Hugging Face or other repositories: Llama 3 (8B, 70B, 405B), Mistral (7B, Mixtral 8x7B, 8x22B), CodeLlama, Falcon, Vicuna, Alpaca, GPT-J, GPT-NeoX, and hundreds of others. You can also run fine-tuned versions or custom models you’ve trained. The only limits are model licensing and your server resources.

What support does Kamatera offer for AnythingLLM hosting?

Kamatera provides 24/7 support for infrastructure, servers, networking, and platform issues. For LLM-specific software setup (Ollama, vLLM, model configuration), you’ll rely on excellent community documentation, GitHub repositories, and forums. Most popular inference engines have detailed setup guides and active communities.