on-prem LLM

On-Prem LLM for Private Enterprise AI

Run LLM inference inside your infrastructure-secure, governed, and ready for real teams.

Why On-Prem Now

  • Privacy and data boundary requirements
  • Predictable cost vs. variable token spend
  • Operational control: latency, uptime, upgrades

What You Get

  • Model runtime (optimized inference)
  • Admin console for users/roles
  • Monitoring: latency, errors, GPU utilization

Reference Architecture

  • Chat UI + tool calls
  • Enterprise RAG (retrieval + citations)
  • Policy layer (allowlists, redaction, safety rules)

Deployment Options

  • Single node pilot
  • Scale-out cluster for departments
  • Air-gapped / restricted networks (optional)

Pilot to Production (2-8 Weeks)

  • Week 1-2: define use case + ingest docs
  • Week 3-4: harden security + monitoring
  • Week 5-8: expand users + connectors

FAQ

Running the model inside your infrastructure so prompts and data do not leave your environment.

For real-time multi-user chat, GPUs are strongly recommended; CPU-only can work for low throughput.

Yes. Start with a pilot tier, validate ROI, then expand capacity and user access.

SSO/RBAC, audit logs, and per-department permissions for documents and actions.

A focused POC typically takes 2-3 weeks; production hardening usually takes 4-8 weeks.

Related Pages

Ready to plan your rollout?

Share your goals and we will map the fastest path from POC to production.

Contact: service@biogrouptec.com
Phone: 1-510-806-6488