Done-for-You AI Hardware with LLM-in-a-Box
At LLM.co, we offer LLM-in-a-Box: pre-configured, pre-trained hardware appliances that allow you to run private large language models locally—on-premise, offline, and behind your firewall.
Whether for regulated industries, sensitive data, or air-gapped environments, these boxes bring intelligence directly to your environment with zero API dependencies and full data ownership.
Use LLM in-a-Box with Most Leading LLMs
What's Inside The Box?
Our portable LLM appliance comes preloaded with:A secure containerized LLM runtime (Docker/Kubernetes)
Fine-tuned open-source models (e.g., LLaMA, Mistral, Phi, Mixtral, or others)
Vector database + semantic search engine
Embedded RAG pipeline (Retrieval-Augmented Generation)
Optional low-latency web UI or chat interface
Encryption, access control, and audit logging
Specs vary by configuration, but typical units include:
High-core CPU or dedicated GPU (NVIDIA A100/H100 or RTX-class)
32GB–128GB RAM1–8TB NVMe SSD
Optimized for low-latency inference of 7B–70B parameter models
Air-Gapped by Design
Deploy in completely offline environments with zero external dependencies.
Fast Deployment
Ready-to-use appliances can be delivered, configured, and running in hours.
Own Your Stack
Run your own model. No OpenAI, no cloud APIs, no 3rd-party logging.
When it Comes to LLMs Hardware Isn’t Everything
While local LLM hardware unlocks unprecedented privacy and control, it's not a silver bullet. Some important limitations include:
Hardware Constraints = Model Size LimitsRunning a 7B–13B model is feasible on a single device. Running GPT-4-scale models locally? Not so much—unless you're investing in datacenter-grade clusters.
Inference Speed vs. Quality TradeoffLarger models tend to be slower or outright unusable on edge hardware, especially with large context windows or long documents.
Updating & Fine-Tuning Is Not Plug-and-PlayFine-tuning or adding new capabilities to on-device models often requires retraining or careful prompt engineering—tasks not easily handled without technical expertise.
Edge Alone May Not Be EnoughFor best results, many organizations pair on-prem edge LLMs with secure cloud models—a hybrid AI architecture that balances performance, cost, and compliance.
Go Hybrid When it Matters
The future of enterprise AI is hybrid—private models where you need them, public power where you trust it.
Use your LLM-in-a-Box for:
On-site document analysis
Internal Q&A with no data egress
Offline summarization or compliance workflows
Pair with secure cloud or VPC models for:
High-volume or large-context inference
Advanced reasoning or multi-agent orchestration
Centralized knowledge base access with distributed AI endpoints
Private LLM Features
Email/Call/Meeting Summarization
LLM.co enables secure, AI-powered summarization and semantic search across emails, calls, and meeting transcripts—delivering actionable insights without exposing sensitive communications to public AI tools. Deployed on-prem or in your VPC, our platform helps teams extract key takeaways, action items, and context across conversations, all with full traceability and compliance.
Security-first AI Agents
LLM.co delivers private, secure AI agents designed to operate entirely within your infrastructure—on-premise or in a VPC—without exposing sensitive data to public APIs. Each agent is domain-tuned, role-restricted, and fully auditable, enabling safe automation of high-trust tasks in finance, healthcare, law, government, and enterprise IT.
Internal Search
LLM.co delivers private, AI-powered internal search across your documents, emails, knowledge bases, and databases—fully deployed on-premise or in your virtual private cloud. With natural language queries, semantic search, and retrieval-augmented answers grounded in your own data, your team can instantly access critical knowledge without compromising security, compliance, or access control.
Multi-document Q&A
LLM.co enables private, AI-powered question answering across thousands of internal documents—delivering grounded, cited responses from your own data sources. Whether you're working with contracts, research, policies, or technical docs, our system gives you accurate, secure answers in seconds, with zero exposure to third-party AI services.
Custom Chatbots
LLM.co enables fully private, domain-specific AI chatbots trained on your internal documents, support data, and brand voice—deployed securely on-premise or in your VPC. Whether for internal teams or customer-facing portals, our chatbots deliver accurate, on-brand responses using retrieval-augmented generation, role-based access, and full control over tone, behavior, and data exposure.
Offline AI Agents
LLM.co’s Offline AI Agents bring the power of secure, domain-tuned language models to fully air-gapped environments—no internet, no cloud, and no data leakage. Designed for defense, healthcare, finance, and other highly regulated sectors, these agents run autonomously on local hardware, enabling intelligent document analysis and task automation entirely within your infrastructure.
Knowledge Base Assistants
LLM.co’s Knowledge Base Assistants turn your internal documentation—wikis, SOPs, PDFs, and more—into secure, AI-powered tools your team can query in real time. Deployed privately and trained on your own data, these assistants provide accurate, contextual answers with full source traceability, helping teams work faster without sacrificing compliance or control.
Contract Review
LLM.co delivers private, AI-powered contract review tools that help legal, procurement, and deal teams analyze, summarize, and compare contracts at scale—entirely within your infrastructure. With clause-level extraction, risk flagging, and retrieval-augmented summaries, our platform accelerates legal workflows without compromising data security, compliance, or precision.
Practical Use Cases That Drive Results
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