Private LLM · RAG · NVIDIA GPU Server

Your Intranet ChatGPT: On‑Prem LLM + Enterprise RAG

Biogroup Technology LLC focuses on on‑prem LLM servers and NVIDIA GPU AI servers, helping enterprises build RAG knowledge bases and an intranet ChatGPT.

Secure enterprise knowledge Q&A — data stays in your network.

A Great Starting Point: On‑Prem LLM + Enterprise RAG

Build an internal assistant for documents, SOPs, contracts, manuals, and support knowledge.

On‑Prem AI / LLM Server

Internal Documents → AI Assistant

Semantic search, Q&A, and summaries — knowledge no longer trapped in folders and heads.

NVIDIA GPU

GPU Inference at Scale

Accelerate inference and concurrency for multi‑user, always‑on intranet deployments.

Private AI

Intranet ChatGPT Experience

A practical path to launch enterprise AI for internal Q&A and knowledge workflows.

Common Enterprise Use Cases

Knowledge Base / Document Q&A

Find policies, processes, specs, and procedures faster across departments.

Support / After‑Sales

Draft replies, summarize tickets, and follow SOPs consistently with your knowledge base.

Sales / Content Generation

Organize cases, catalogs, talk tracks — generate proposals and FAQs quickly.

GPU‑Centric On‑Prem AI Server (Summary)

Contact us below for a full BOM and pricing range.

Tier Suggested Configuration (Summary) Best For
A Starter Single Box RTX 4090 24GB ×1 | 128GB RAM | NVMe 4TB | 2.5/10GbE (expandable) SMB teams / POC / trial run
B Standard Plan Dual-box inference / multi-model parallel | dedicated index/files node | 10GbE Multi‑department rollout / concurrency
C Enterprise High‑End 48GB GPU × multi-card | long context | high concurrency | enterprise storage/network Strict requirements / high load

Contact

Share your needs and we will suggest an on‑prem LLM/RAG solution and GPU server configuration.

🌐 https://llm.biogroup.ai

✉️ service@biolifegrp.com

☎️ +886-2-xxxx-xxxx


Recommended: document types/size, user count, intranet requirement, CRM/ticket integration.

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此表單為示意,實際可串接你現有 CRM / Email / Webhook / API。