Your own weights, your own box, your own network

You already know what this is. The interesting part is that it arrives built: an appliance that enrols itself over power and ethernet, keeps its environment current over a managed connection, and exposes your assistant through a mobile app, a desktop app, a browser dashboard and messaging — without your documents leaving the hardware you own.

This page covers developers and AI engineers, IT consultants and MSPs deploying for clients, and self-hosters running their own lab.

Local Private AI for Developers & Engineers

NVIDIA hardware on your desk

Your docs, ADRs, and notes — one private index

Design docs, ADRs, runbooks, and years of technical notes — indexed locally on real NVIDIA silicon you control. Ask why the architecture decision was made, which docs contradict the current implementation, and what the postmortem actually concluded. Full local control, no data agreement required.

Getting it loaded is a one-time service: with Life Upload, your approved archive is prepared and imported privately — and from then on, asking is instant. For truly heavy jobs, approved one-time large-job processing is available, and Digital Twin Pro Studio brings 128GB of unified memory when the work outgrows the desk unit.

A day with your private AI

You wake to a compiled report on last night’s code updates from your assistant and go straight into debugging with its real-time analysis. By midday it has scheduled your meetings, updated your project roadmap, and run a secure data-transfer test. After lunch it fields incoming client queries while you fine-tune an AI model — each step yours to approve.

This setup saves hours each week, but it isn’t just about efficiency — it’s about privacy. Your sensitive client data and proprietary algorithms stay local by default — nothing goes to an outside service unless you route it there through your own account. Owning Digital Twin Pro means having a dedicated assistant that is always available, retains what you approve, and stays true to your mission without the strings of subscription services or shared cloud risks.

What your agent handles

Thirty ways to put your agent to work — each one private, local, and yours to approve.

Use case 01
Local agent orchestrator

Orchestrate preprocessing, inference, and aggregation agents to speed up dataset processing.

Try this prompt
“Run my preprocessing, inference, and aggregation agents in parallel to speed up this dataset.”
Needs: Works out of the box
Use case 02
Compute node discovery

Returns each node’s IP, status, GPU/CPU specs, and current workload for developers to schedule jobs.

Try this prompt
“List all compute nodes on my LAN that are idle and have at least 16 GB GPU memory for model training.”
Needs: Works out of the box
Use case 03
Model endpoint registry

Stores and retrieves endpoint metadata—name, version, framework, hardware—for instant local model lookup.

Try this prompt
“Display the metadata I saved for the Falcon‑40B endpoint, including its version and required GPU count.”
Needs: Works out of the box
Use case 04
NIM/vLLM/Ollama routing

Inference requests route across your vLLM, Ollama, and NIM endpoints based on measured latency once your nodes are registered.

Try this prompt
“Register my three inference endpoints, then route each prompt to whichever has the lowest latency, Ollama as fallback.”
Needs: Endpoints registered
Use case 05
Repo summarization

Provides developers a bullet‑point overview of a repo’s architecture, modules, and exposed interfaces.

Try this prompt
“Summarize this repo’s main components, their responsibilities, and the public APIs they expose in bullet points.”
Needs: Repo on device
Use case 06
Issue/PR summarization

Open pull requests summarize into a triage view — titles, reviewers, and status — from your on-device repo mirror.

Try this prompt
“From my local repo mirror, which PRs are open, who's reviewing each, and which have sat unreviewed the longest?”
Needs: Repo mirrored on device
Use case 07
Codebase Q&A

Delivers citation-backed, confidence-scored answers about code logic via the local LLM.

Try this prompt
“Show me where the JWT verification function is defined and list its dependencies with line numbers.”
Needs: Codebase folder connected
Use case 08
Local documentation search

Instantly locate any technical term across your local docs with regex, case‑insensitive, and line‑number precision.

Try this prompt
“Search my docs for 'API rate limiting' using case‑insensitive regex and return file paths with line numbers.”
Needs: Documents folder connected
Use case 09
PDF/research paper indexing

For developers, your assistant instantly indexes PDF and EPUB papers, delivering fast keyword retrieval on‑device.

Try this prompt
“Index my PDF and EPUB research papers for instant keyword search.”
Needs: Documents folder connected
Use case 10
Container health monitoring

Tracks CPU, memory, and restart metrics for every container, triggering instant alerts when thresholds are breached.

Try this prompt
“Give me real‑time CPU, memory, and restart counts for each Docker container and alert if any exceed thresholds.”
Needs: Works out of the box
Use case 11
GPU/node utilization dashboard

Real‑time GPU/node utilization dashboard with interactive heatmap graphs for developers.

Try this prompt
“Show me a live GPU utilization dashboard updating every second with a heatmap across all my nodes.”
Needs: Works out of the box
Use case 12
Jetson fleet management

Helps AI engineers monitor, analyze, and balance Jetson fleet workloads locally for efficient model deployment.

Try this prompt
“Show me each Jetson's current inference latency, power draw, and temperature, then suggest the best node for my next batch.”
Needs: Works out of the box
Use case 13
Route jobs to your best LAN node

Your assistant dispatches batch jobs to whichever registered LAN node reports the most headroom right now.

Try this prompt
“Send this batch inference job to whichever of my registered nodes has the most GPU headroom at the moment.”
Needs: LAN nodes registered
Use case 14
Route vision/robotics pipelines

Vision and robotics pipelines route to a vision-capable tier while this node keeps orchestrating.

Try this prompt
“Move my stereo-vision SLAM pipeline to the vision tier and confirm it holds thirty frames a second.”
Needs: Vision tier registered
Use case 15
Local RAG experiments

Executes end‑to‑end RAG pipelines, measuring retriever recall and generator BLEU/ROUGE on locally indexed docs.

Try this prompt
“Run a RAG test on my documents, output retriever hit‑rate@10 and generation ROUGE‑L scores.”
Needs: Documents folder connected
Use case 16
Agent tool gateway

Manages API wrapper tools via JSON/YAML config for local agent workflows on Digital Twin Pro.

Try this prompt
“Load my API wrapper definitions from config.yaml and expose them as agent tools for my pipeline.”
Needs: Works out of the box
Use case 17
Secure support demo environment

Creates isolated VM‑based demo environments with strict network and RBAC controls for secure client support demos.

Try this prompt
“Spin up a sandboxed VM with read‑only network and role‑based access for my client support demo.”
Needs: Works out of the box
Use case 18
Hardware temperature monitoring

Monitors CPU and GPU temperatures every 2 seconds, alerting when either exceeds 85 °C to protect training runs.

Try this prompt
“Start logging my CPU and GPU temperatures every two seconds and warn me if they go above eighty‑five degrees Celsius.”
Needs: Works out of the box
Use case 19
Build/test automation

Automates local build and test pipelines using Make, CMake, Bazel with pytest and JUnit for rapid developer feedback.

Try this prompt
“Trigger a full rebuild and test suite for my microservice repo, caching dependencies and reporting failures instantly.”
Needs: Project folder connected
Use case 20
DevOps assistant

Generates ready‑to‑use Docker Compose configurations with health checks and resource limits for multi‑service apps.

Try this prompt
“Generate a Docker Compose file with health checks and resource limits for my three‑service microservice app.”
Needs: Project folder connected
Use case 21
NAS dataset indexing

Indexes NAS datasets via NFS/SMB for rapid developer access.

Try this prompt
“Index the /data/ml folder on my NAS using SMB, updating only new files for fast retrieval.”
Needs: NAS mounted
Use case 22
Local benchmark runner

Runs MLPerf and HuggingFace benchmarks locally, delivering instant charts and tables for developers to evaluate model performance.

Try this prompt
“Run MLPerf and HuggingFace benchmarks locally and output results as charts and tables.”
Needs: Works out of the box
Use case 23
Model download manager

Downloads and version‑controls model files from local folders or private registries, letting AI engineers swap versions instantly.

Try this prompt
“Download the latest version of the Llama‑2‑7B model from my models folder and keep the previous version as backup.”
Needs: Models folder connected
Use case 24
Prompt/version manager

Tracks prompt revisions in a local git repo, letting developers diff and restore any version instantly.

Try this prompt
“Show me the git diff between version 3 and version 5 of my custom prompt for the summarization agent.”
Needs: Works out of the box
Use case 25
Local eval runner

Runs accuracy, F1, and latency metrics on local models and compares results against a stored baseline.

Try this prompt
“Evaluate my fine‑tuned model and report accuracy, F1, latency compared to the baseline checkpoint.”
Needs: Works out of the box
Use case 26
Homelab inventory

Catalogs homelab hardware and software, recording model, serial numbers, versions, and exports results to CSV or JSON.

Try this prompt
“Generate an inventory report of all hardware and software in my homelab, including model numbers, serials, and versions, and export it as CSV and JSON.”
Needs: Works out of the box
Use case 27
Research assistant

Your assistant extracts key sentences from research papers and returns a three‑bullet summary per document.

Try this prompt
“Give me a three‑bullet summary of the methodology and results for each paper in my docs folder.”
Needs: Documents folder connected
Use case 28
Customer demo appliance

Client demos boot from preloaded scenarios in minutes — a self-contained pitch box that needs no venue Wi-Fi.

Try this prompt
“I'm demoing at the client's office at nine — load our retrieval demo scenario and have the walkthrough ready offline.”
Needs: Demo scenarios loaded
Use case 29
Client-site deployment platform

Enables developers to securely package and deliver AI services to on‑site client infrastructure with zero‑touch rollout.

Try this prompt
“Bundle my inference service into an encrypted OTA package and push it to the client's gateway using mutual TLS.”
Needs: Works out of the box
Use case 30
Private AI fabric controller

Configures networking, storage, and security layers of the private AI fabric and validates each component.

Try this prompt
“Provision the private AI fabric by setting up VLANs, encrypted storage, and role‑based access, then run health checks.”
Needs: Works out of the box

Set up in an afternoon

  1. 1Place your Digital Twin Pro on the dev LAN with Ethernet.
  2. 2Pair phone and desktop dashboard.
  3. 3Give your agent a name — Atlas, Friday, anything you like. It answers to whatever you choose.
  4. 4Install the Digital Twin Pro node agent on a larger Digital Twin Pro tier, a vision-capable tier, Mac Studio, or Jetsons.
  5. 5Register local model endpoints.
  6. 6Connect repos, docs, and NAS datasets.
  7. 7Enable compute routing and health dashboards.

Works with

NIMvLLMOllamaDockerGitHubNAS datasetsJetson fleetLarger tiersVision tierMonitoring

Private AI for IT Consultants & MSPs

For consultants and small firms

The work is billable. The paperwork isn't.

Digital Twin Pro is a small box that lives in your office. Inside is your assistant — an assistant who keeps the client notes, writes the monthly summaries, drafts the scopes, and watches the renewal dates.

Just say it. It gets handled.

Tap anything below to see how it goes.

“What did we do for Alder last month?”

Assistant: Nineteen jobs, six hours over the plan. Here's the one-page summary.

Every client, one question away.

“Draft the scope for the new client.”

Assistant: Built from your last two, with their hours filled in. Price it and it's ready.

Scopes that start at eighty.

“Whose contract is up soon?”

Assistant: Three in the next 90 days. Alder is first, and they've grown since you signed them.

Renewals spotted months ahead.

“Summarize this week for Alder.”

Assistant: What broke, what you fixed, what's next — plain words, one page, for your review.

Clients see the value you gave.

“Call Marcy about Thursday's visit.”

Assistant: Called. Nine suits her better than eight, and she'll have the room open.

Your assistant picks up the phone.

“What's still open for Alder?”

Assistant: Two things from your last visit: the printer move and the new hire's setup.

Open loops, closed on time.

“Send Alder the invoice.”

You: Nineteen jobs plus the extra hours.

Assistant: Itemized and drafted. Approve it and it goes out tonight.

Billing that isn't a Sunday job.

“Find my notes from the walkthrough.”

Assistant: March 9th — your list, the photos you took, and the two things they turned down.

Notes you can actually find.

A day with your assistant

Five moments from a normal Tuesday.

7:30

A brief with your coffee: today's visits, what's open, whose contract is up.

9:00

Yesterday's work turns into a client summary in plain words.

11:00

It called to move a visit an hour later. Everyone's calendar agrees.

15:00

A scope for the new client is drafted from your last two. You set the price.

18:00

Invoices drafted, notes filed, tomorrow's route in order.

Homelab Private AI Server for Home Network Security

NVIDIA hardware on your desk

Audit your own stack with your own hardware

Configs, logs, network documentation, and years of accumulated notes — indexed locally, with no third-party telemetry in the loop. Ask which hosts still carry the old config, where the docs and the running state disagree, and what you changed before things broke. Analysis of your infrastructure, on your infrastructure.

Getting it loaded is a one-time service: with Life Upload, your approved archive is prepared and imported privately — and from then on, asking is instant. For truly heavy jobs, approved one-time large-job processing is available, and Digital Twin Pro Studio brings 128GB of unified memory when the work outgrows the desk unit.

A day with your private AI

Waking up to a seamless morning routine orchestrated by your assistant, your Digital Twin Pro’s persona‑tuned AI assistant, you start with a perfectly brewed coffee as your assistant adjusts the thermostat and sends out your daily homelab backup schedule. Through the day, your assistant adeptly manages your network configurations, ensuring every device is secure and up to date.

By evening, you’ve saved countless hours that would have been spent on mundane tasks, allowing more time for family or personal projects. Your sensitive data remains entirely private within your walls, untouched by the cloud. Owning this appliance outright means no subscription fees and total control over your digital life — peace of mind that is rare in today’s connected world.

What your agent handles

Thirty ways to put your agent to work — each one private, local, and yours to approve.

Use case 01
Network inventory

For security‑conscious homeowners, your assistant instantly builds and updates a full LAN device inventory with IP, MAC vendor, and first‑seen dates.

Try this prompt
“Give me a current table of all devices on my LAN, showing IP, MAC vendor, and first seen timestamp.”
Needs: Works out of the box
Use case 02
Unknown-device detection

New LAN devices get identified on arrival — IP, MAC vendor, and open ports enumerated per VLAN.

Try this prompt
“Anything new on VLAN 10 or 20, tell me immediately — IP, MAC vendor, and whatever ports it's listening on.”
Needs: Works out of the box
Use case 03
Router status monitoring

Your assistant logs WAN health continuously on-device, turning ISP flakiness into provable data.

Try this prompt
“Start logging WAN uptime hourly — after a week I want the chart that proves whether evenings are really worse.”
Needs: Works out of the box
Use case 04
NAS monitoring

Get instant NAS SMART health alerts on your local AI appliance, keeping your storage safe without cloud reliance.

Try this prompt
“Please notify me immediately if my NAS reports any SMART pre‑failure or failed scrub.”
Needs: NAS on the network
Use case 05
Printer monitoring

Your assistant watches the lab printer and reports jams, dropouts, and any error codes the printer exposes.

Try this prompt
“Watch the printer and tell me when it jams or drops off the network, with the error code when it reports one.”
Needs: Works out of the box
Use case 06
Camera health checks

Instantly verify every security camera is recording and report any gaps longer than a minute.

Try this prompt
“Check all my cameras now and tell me if any stopped recording for over sixty seconds.”
Needs: Cameras on LAN
Use case 07
Home Assistant integration

When an automation misfires at midnight, your assistant traces the trigger chain through your Home Assistant in seconds.

Try this prompt
“Why did the backyard floodlight turn off at five past midnight? Trace which automation fired and what triggered it.”
Needs: Home Assistant connected
Use case 08
Self-hosted service dashboard

A self‑hosted dashboard that instantly shows the health of your Jellyfin, Vaultwarden, and Pi‑hole services.

Try this prompt
“I ask your assistant to display a quick health snapshot of my Jellyfin, Vaultwarden, and Pi-hole services, including uptime and any errors today.”
Needs: Works out of the box
Use case 09
Local log summarization

Daily digest of system logs that clusters errors and highlights the one fix needed for home lab security.

Try this prompt
“Summarize yesterday's auth log entries, group repeated failures, and tell me the single action to improve security.”
Needs: Syslog enabled
Use case 10
Local-only AI chat

For security‑focused homeowners, your assistant generates and stores strong local passwords without any cloud or account.

Try this prompt
“Create a strong, random 16‑character Wi‑Fi password for my guest network and save it encrypted locally.”
Needs: Works out of the box
Use case 11
Model endpoint registry

For security‑focused homeowners, Digital Twin Pro centralizes all local LLM endpoints in one registry with instant health checks.

Try this prompt
“I ask your assistant to display a live table of my Ollama, vLLM, and llama.cpp endpoints, showing status, model name, and tokens‑per‑second.”
Needs: Works out of the box
Use case 12
Tailscale management support

Monitors Tailscale peer activity and ACL excess, alerting security‑savvy homeowners to stale or over‑privileged devices.

Try this prompt
“List any Tailscale peers that haven't checked in for over 30 days and flag any with overly permissive ACL tags.”
Needs: Tailscale installed
Use case 13
Backup job monitoring

For security‑conscious homeowners, your assistant validates backup completion, detects size drift, and prompts restore‑test checks.

Try this prompt
“Please verify last night's backups completed, flag any size drift over twenty percent, and remind me to run a restore test if needed.”
Needs: NAS on the network
Use case 14
Docker service monitoring

Monitors Docker containers for restarts, image drift, and memory hogs on your local homelab.

Try this prompt
“Show me which Docker containers restarted more than twice this week and which is using the most memory on my media box.”
Needs: Works out of the box
Use case 15
Home lab health dashboard

A glance‑able dashboard showing real‑time host vitals, service health, and temperature trends for the security‑conscious home lab owner.

Try this prompt
“I ask your assistant to give me a one‑screen summary of CPU load, memory usage, temperature trends, and service status across all my lab nodes.”
Needs: Works out of the box
Use case 16
Device graph

Visualizes LAN communication links so security‑conscious homeowners can spot unexpected device interactions at a glance.

Try this prompt
“Display a network diagram of today’s device-to-device traffic and flag any connections that didn’t exist yesterday.”
Needs: Works out of the box
Use case 17
Service outage alerts

Instantly tells security‑minded homeowners when their Home Assistant hub stops responding and for how long.

Try this prompt
“I ask your assistant to alert me immediately if my Home Assistant becomes unresponsive and tell me how long it's been down.”
Needs: Home Assistant API reachable
Use case 18
Local documentation search

Turn your personal wiki and config files into an instant, private search engine you control.

Try this prompt
“Find the exact line where I disabled SSH root login in my hardened server config from last year.”
Needs: Documents folder connected
Use case 19
Firmware/update reminders

Provides clear, prioritized firmware update alerts for home network devices, highlighting security-critical patches.

Try this prompt
“I ask your assistant to list pending firmware updates for my router, NAS, and APs, flagging any security‑critical releases.”
Needs: Works out of the box
Use case 20
Private RAG

For security‑conscious homeowners, instantly retrieve and cite personal documents on‑device without any cloud exposure.

Try this prompt
“Give me a concise summary of my home renovation plans, citing the exact file and page where each detail appears.”
Needs: Documents folder connected
Use case 21
Home server assistant

Your home server gets an on‑device assistant that learns its services, spots issues, and advises fixes instantly.

Try this prompt
“Tell me which system service restarted twice in the last hour and what log entry triggered each restart.”
Needs: Works out of the box
Use case 22
Smart-home automations

Enable security‑conscious homeowners to quickly set voice‑controlled garage‑open alerts without YAML or cloud dependencies.

Try this prompt
“I ask your assistant to create an automation that flashes the porch light and announces a warning if the garage door stays open past 10 pm.”
Needs: Home Assistant connected
Use case 23
Pi/Jetson/Mac node discovery

For security‑savvy homeowners, Digital Twin Pro instantly maps every Pi, Jetson, and Mac on your LAN with OS and port details.

Try this prompt
“List every Pi, Jetson, and Mac on my network, showing OS version, open ports, and last seen time.”
Needs: Works out of the box
Use case 24
Compute routing to your big node

Your assistant routes heavy models to the bigger node in your rack while this appliance keeps the dashboard instant.

Try this prompt
“When I run the big model, push the inference to my larger node so the dashboard here never lags.”
Needs: Larger Digital Twin Pro tier
Use case 25
Privacy-preserving camera alerts

Driveway clips process on a vision-capable node: faces blur on-device before any alert reaches your phone.

Try this prompt
“On driveway motion, blur any faces on-device and send only the blurred clip to my phone.”
Needs: Vision tier + camera
Use case 26
Security camera event summary if approved

A daily, on‑device summary of approved security‑camera events, highlighting visitors, deliveries, and unusual activity for security‑conscious homeowners.

Try this prompt
“Give me a summary of today's approved camera events, showing who visited, when, and any clips worth reviewing.”
Needs: Cameras connected
Use case 27
Weekly network report

A concise weekly network summary for security‑conscious homeowners highlighting new devices, incidents, bandwidth trends, and a single fix.

Try this prompt
“I ask your assistant to generate a weekly network report showing new devices, any outages, bandwidth trends, and one actionable improvement.”
Needs: Works out of the box
Use case 28
Homelab inventory

For security‑focused homeowners, your assistant keeps an up‑to‑date hardware ledger with specs, purchase dates, and support status.

Try this prompt
“Tell me each lab device's model, purchase year, and whether it's still under vendor support.”
Needs: Works out of the box
Use case 29
Managed support mode

Run a local, supervised diagnostic session you can watch and terminate instantly.

Try this prompt
“Start a supervised system check and show me each command it runs so I can stop it anytime.”
Needs: Works out of the box
Use case 30
Private AI fabric

See which home lab nodes have free GPU memory for running my private LLM tonight.

Try this prompt
“Show me which of my lab PCs have idle GPU memory and can run a 7‑B model right now.”
Needs: Works out of the box

Set up in an afternoon

  1. 1Place your Digital Twin Pro in the network rack or server area.
  2. 2Pair phone and desktop dashboard.
  3. 3Your assistant arrives with a name — change it to Atlas, Friday, anything you like. It answers to whatever you choose.
  4. 4Approve discovery of local network devices.
  5. 5Connect NAS, Docker, Home Assistant, and monitoring endpoints.
  6. 6Add a Digital Twin Pro Studio or a vision-capable tier as compute nodes.
  7. 7Enable weekly network and homelab reports.

Works with

Home AssistantTailscaleNASDockerRoutersSelf-hosted servicesCameras

Digital Twin Pro — $1,699, once · every price on one page

Not sure it fits? Book a fit call first — if it is not right for you, we will say so before you spend a dollar.