Private LLM DeploymentSelf-Hosted AI With Full Data Sovereignty
Deploy a private language model on your own infrastructure. Full data sovereignty, zero vendor lock-in, and compliance-ready AI that never leaves your network.
Why Organizations Choose Self-Hosted AI
Cloud AI services offer convenience but create compliance gaps. A private LLM eliminates third-party data risk entirely.
Data Sovereignty
Every prompt, document, and response stays on your hardware. No data transmitted to OpenAI, Microsoft, or any third party.
Regulatory Compliance
Meet HIPAA, CMMC, ITAR, SOX, and PCI DSS requirements. Eliminates the compliance uncertainty of third-party AI platforms.
Cost Control at Scale
Fixed infrastructure cost that becomes dramatically cheaper as usage grows. Often pays for itself within the first quarter vs. per-token cloud pricing.
No Vendor Lock-In
Open-source models are portable. Run Llama 3 today, migrate to Mistral tomorrow. Never locked into a single vendor's pricing or deprecation timeline.
Full Customization
Fine-tune on your proprietary data and internal documentation. A customized private model outperforms generic cloud AI on specialized tasks.
Low Latency
On-premise inference eliminates round-trip latency to cloud APIs. Sub-100ms response times for real-time applications.
Self-Hosted LLM Infrastructure
On-Premise: GPU servers in your data center
Managed Hosting: Dedicated single-tenant hardware
Hybrid: Sensitive workloads on-prem, general in private cloud
Cloud AI vs. Private LLM
Data Leaves Your Network
Prompts processed on servers you do not own. Retention policies apply. Third-party risk for every query.
Per-Token Costs Scale Linearly
$0.01-$0.06 per 1K tokens. A 100M token/month workload costs $1M-$6M annually.
Vendor Controls Your AI
Model deprecation, pricing changes, and policy updates at the vendor's discretion.
100% On-Premise
Data never leaves your network. No third-party processing. Complete control over all AI interactions.
Fixed Cost, Unlimited Use
$0 per query after setup. Cost per query drops the more your team uses it.
You Own Everything
Open-weight models. Swap freely. No lock-in, no renegotiation, no dependency on any vendor.
Built For
Frequently Asked Questions
What models can we run privately?
Meta Llama 3 (8B-405B), Mistral/Mixtral (7B-8x22B), Qwen 2.5 (0.5B-72B), and hundreds of specialized models. These open-weight models deliver accuracy comparable to proprietary cloud APIs on most business tasks.
Can a private LLM be air-gapped?
Yes. We deploy AI systems on air-gapped networks with zero internet connectivity. Models run entirely offline after initial deployment, processing classified and sensitive data without any external communication.
How does cost compare to cloud AI?
A private LLM has a one-time infrastructure cost that amortizes quickly at volume. Organizations processing 1M+ tokens/day typically save 60-80% compared to cloud API pricing within the first year.
Is a private LLM CMMC compliant?
Yes. Private infrastructure satisfies CMMC Level 2 requirements for CUI handling. Access controls, audit logging, encryption, and incident response are built into the architecture. See our CMMC compliance services.
Can we add RAG to a private LLM?
Absolutely. RAG integration connects your private LLM to your document library so it answers questions from your actual SOPs, policies, and institutional knowledge with source citations.
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Ready to Deploy a Private LLM?
Full data sovereignty, zero vendor lock-in, and compliance controls built in from day one.
Read our comprehensive guide: How to Build a Private LLM for Your Business.