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Small Business AI
Private LLMs for Small Businesses: Secure, Affordable AI Without the Cloud Risks
Zedly AI Editorial Team
December 11, 2025
8 min read
In 2025, small businesses are increasingly turning to private Large Language Models (LLMs) to power everything from customer support chatbots and content generation to internal document analysis and workflow automation. Unlike public services like ChatGPT or Gemini, private LLMs keep your data on your infrastructureβensuring privacy, compliance (e.g., HIPAA for health-related queries or GDPR for customer info), and full control over costs and customization.
The rise of open-source models like Llama 3.1, Mistral, and Qwen has made this accessible. These models now rival proprietary ones in quality while running efficiently on modest hardware. For small businesses, the benefits are clear: no recurring API fees, no data leakage risks, and predictable performance.
Why Go Private? The Small Business Case
Public LLMs are convenient but come with hidden costs:
- Data Privacy Risks β Queries sent to third-party servers could expose sensitive info.
- Ongoing Expenses β Pay-per-token pricing adds up fast for daily use.
- Downtime and Limits β Rate limits or outages disrupt operations.
A private LLM solves these. You own the model, run it offline or in your secure environment, and scale as needed. Trends show searches for "private LLM" and "self-hosted AI" surging 150-200% in the last year, driven by small enterprises in legal, consulting, healthcare, and e-commerce.
The Cheapest Route: Zedly AI's Managed Private Chat Starting at $149
For most small businesses, the simplest and most affordable entry is a managed private solution, no hardware to buy or maintain.
At Zedly AI, our Desk/Vault Private Chat offers secure, dedicated LLM access starting at just $149/month. This includes:
- A private instance running advanced open-source models (e.g., Llama 3.1 or Mistral).
- Retrieval-Augmented Generation (RAG) for your documents, uploaded contracts, knowledge bases, or client files for accurate, context-aware responses.
- Zero data sharing: Everything stays isolated in your dedicated environment.
- Easy web interface with chat history, file uploads, and API access.
This tier is perfect for teams of 1-5 users handling moderate daily queries. No IT expertise required, get started in minutes. For higher volumes or custom fine-tuning, scale up seamlessly.
Ready to try? Explore our self-hosted and enterprise options for more advanced deployments.
Self-Hosting: Full Control with On-Prem Hardware
If your business needs ultimate sovereignty (e.g., air-gapped for defense/compliance or no internet dependency), self-hosting is the way. Zedly AI supports this with Docker-based or fully offline tarball deployments detailed on our self-hosted AI page.
Self-hosting means running the LLM on your own servers. Benefits include:
- Zero External Data Flow β Ideal for regulated industries.
- One-Time Costs β No monthly cloud bills after setup.
- Customization β Fine-tune models on your data.
Minimum Hardware Requirements
Zedly AI's self-hosted solution uses efficient quantized models (e.g., Llama 3.1 8B or 70B variants). Here's a breakdown:
| Model Size |
Use Case |
Minimum GPU |
RAM |
Storage |
Tokens/Sec |
Est. Build Cost (2025) |
| 8B |
Basic chat, summarization |
None (CPU-only) or entry GPU (RTX A4000 16GB) |
32-64GB |
1TB NVMe |
20-50 |
$800-$2,000 |
| 13-33B |
Advanced RAG, analysis |
RTX 3090/4090 (24GB VRAM) |
64-128GB |
2TB NVMe |
40-80 |
$1,500-$4,000 |
| 70B |
Enterprise-grade reasoning |
2x RTX 4090 or A100 (40GB+) |
128-256GB |
4TB+ NVMe |
30-60 |
$5,000-$15,000+ |
- CPU-Only Option β For lightest loads (e.g., 7-8B models), a modern server CPU (Intel Xeon or AMD EPYC) with 64GB+ RAM works. Add swap space for bigger models.
- Entry-Level GPU β A used RTX 3090 (~$600-900 in late 2025) handles most small business needs.
- Power & Cooling β Expect 300-800W draw; ensure good airflow.
Typical Costs to Build Your Own
- Budget Build (~$1,500-$3,000) β Repurpose a gaming PC with a used RTX 3090/4090. Add fast RAM and NVMe storage.
- Mid-Range Server (~$4,000-$8,000) β Custom from providers like BIZON or Puget Systems with RTX 4090/A6000.
- Enterprise-Grade (~$10,000+) β Rackmount servers from Dell, HPE, or Supermicro with A100 GPUs (used ~$2,000-3,000 each).
Third-party providers for hardware:
Check our self-hosted AI documentation for exact specs, Docker guides, and air-gapped installers.
Which Path Should Your Small Business Take?
- Start Simple β Zedly AI's $149/month managed plan for instant privacy without hardware hassle.
- Go Fully Independent β Self-host on-prem for compliance-critical needs.
Private LLMs level the playing fieldβgiving small businesses enterprise-grade AI securely and affordably. Explore Zedly AI's self-hosted solutions today and take control of your AI future. Questions? Contact our team for a custom briefing.
Ready to get started?
Private-by-design document analysis with strict retention controls.