An AI assistant that runs inside your office, on your files — never someone else's cloud.

Yes. When we deploy a local node, the inference engine runs on the computer's physical GPU and RAM inside your office. We can physically disconnect the Ethernet cable from the outside world or lock down the firewall so that outbound WAN traffic is 100% blocked. Your staff connect via local office Wi-Fi or Ethernet to an internal IP (like 192.168.1.50). Zero bytes leave your premises.

You don't need a $50,000 data center server. Thanks to recent advancements in open-source quantization, top-tier models (like Llama 3.3 70B and Qwen 2.5 32B) run blazing-fast on a single modern workstation equipped with an NVIDIA RTX 4070Ti/4080/4090 GPU and 32–64GB of RAM (typically $1,800–$3,200 in hardware). If you already have a CAD, video editing, or rendering workstation in the office, we test your existing machine first to save you hardware costs.

We set up an on-premise Retrieval-Augmented Generation (RAG) vector index. When you give the system a directory of PDFs, Word files, spreadsheets, or scanned policies, it breaks them into searchable mathematical embeddings on your local drive. When an employee asks a question, the model retrieves the exact excerpt and cites the specific document and page number so your team can verify the facts instantly.

That's the beauty of open-weights AI: you are not locked into any single company. When a new open model launches that beats older benchmarks, swapping it onto your local machine is as simple as downloading the weights and updating the config. Under our Monthly Care Plan, we test and benchmark new model releases and upgrade your node automatically.

We conduct an on-site interview and inspection of your office workflows. We check what AI tools employees have bookmarked, review third-party software agreements for auto-enabled AI scraping clauses, inspect meeting transcription bots, and identify where confidential files are being uploaded. You receive a written Data-Flow Risk Map, an actionable 90-day remediation plan, and an enforceable 1-page Company AI Policy.

Online AI SaaS tools charge $20–$40 per user every month, store your client data on multi-tenant cloud servers in California or Virginia, and stop working the moment your internet connection flickers. ComputeNOLA is based right here in Greater New Orleans. We shake your hand, set up the physical hardware in your office, train your staff in person, and provide same-day on-site support whenever you need us.