Power rating
Not verifiedNo complete-system power rating verified in the reviewed sources.
Product image
Manufacturer product image. The selected configuration may vary.
Product photo & illustrative 3D · configuration may varySource
Sourced specifications
Edge AI computerArduino VENTUNO Q
Qualcomm Dragonwing IQ8 · STM32H5
An edge AI computer that brings local models, computer vision and real-time control onto one board.
16 GB sharedReference memory
Arm + MCUQualcomm AI ecosystem
BEFORE IT ARRIVES
Power, cooling & your space.
What this configuration needs on your premises.
Lab assessment · based on the evidence below
Integration required
A development board for a lab bench or integrated product. Budget power and cooling for the board, enclosure and attached devices together.
Electrical input
Published detailStore specifications list USB-C at 5 V / 3 A maximum, a 12–24 V DC barrel input and a 7–24 V DC screw terminal. Arduino’s tutorial instead refers to a 65 W USB-C supply and 7–24 V barrel input; confirm the board revision and power path before choosing a supply. [1][2]
Outlet & circuit
Not verifiedNo machine-specific branch-circuit requirement verified. Check the nameplate, regional cord and other loads on the same circuit.
Machine cooling
Not verifiedThe exact cooling assembly is not documented in the reviewed source. Request the thermal and installation specification.
Operating limits
Published detailCommercial operating range listed as −10–60°C. That board rating does not establish thermal limits for a finished enclosure or attached peripherals. [1]
Noise in the workspace
Not verifiedNo comparable noise measurement under an AI workload verified. Ask for dB(A), distance, workload and ambient conditions; audition it before placing it beside people.
ACTUAL CONSUMPTION
Power at the wall
PSU capacity, chip TDP and measured consumption describe different things. Only measurements with a stated configuration and test method appear here.
Idle and AI-load wall power: not verified.
Share a power measurement No attributable wall-power test for this configuration was established in this review. Measure at the outlet with the exact model, workload, runtime and power mode recorded.
Room cooling
Plan for the computer and its power supply to heat the room. Check ventilation during long jobs and when several machines share a small office.
Lab planning guidance. Office suitability depends on the installed configuration, shared circuits, heat removal and acceptable noise; a workstation label alone does not settle it.
Space & installation
- Enclosure
- Confirm with manufacturer
- Weight
- Not verified
- Use the board revision’s power documentation and a compatible supply. Adapter capacity is not measured board consumption.
- Plan an enclosure, mounting, cooling and peripheral power budget for the finished installation.
Estimate electricity use & room heat
Enter average power at the wall for the hours you are modeling, or an explicit planning assumption. Supply wattage and chip TDP are not consumption measurements.
Add wall power to calculate a scenario.
Scenario only. Hours outside this period are excluded: include idle time for an always-on system. Displays, networking, UPS losses and room air conditioning are extra. Heat assumes the computer and power supply release their heat into this room; it does not size a circuit or an HVAC system. Currency selects your tariff’s unit, with no conversion.
Sources & review scope (2)
Manufacturer documentation and attributed first-hand hardware inspections, scoped to the named model or configuration. “Not verified” identifies a gap in this review, not a claim that the manufacturer has no documentation. Installation assessments are the Lab’s interpretation.
Opening model configurations…
01 / PRIVACY
Your data has a home.
Keep sensitive processing on your infrastructure. Inspect every connection in the complete stack.
02 / SECURITY
You set the boundaries.
Control access, connectivity and updates. A local machine still needs a secure deployment.
03 / TOKEN ECONOMICS
Own the capacity.
Generate tokens on your own compute. Understand the full cost of the useful work it delivers.
SHARED WORK AROUND THIS PLATFORM
Setups you can build on.
Reference-platform guidance and field records. Exact OEM configurations need their own validation.
Give this machine its first setup record.
Share the software, configuration and evidence from your own system.
Contribute a setupTHE PLATFORM BEHIND THE MACHINE
VENTUNO Q / IQ8
1 catalog configuration
BEYOND THE SPECIFICATION
Lessons for running this machine.
Published guidance and checklists to help you investigate the full deployment.
Engineering applications
Local AI beside a Wi-Fi module test bench.
An execution agent and confidential engineering test assets show how on-premises AI extends beyond office applications.
UT field note
Offline operationDoes the whole application work offline?
Local model inference is one part of the path. Test retrieval, documents, identity, tools and restart behavior as well.
Evaluation checklist
EconomicsWhat does an accepted result actually cost?
Put quality, retries, utilization and operating effort beside token throughput.
Evaluation checklist
THE CONFIGURATION
Inside the machine
- Configuration
- Dragonwing IQ8 / STM32H5 / 16 GB RAM / 64 GB eMMC
- CPU / accelerator
- Qualcomm Dragonwing IQ8 · STM32H5
- Memory
- 16 GB shared
- Memory bandwidth
- See source; no lab measurement
- Architecture
- Arm + MCU
- Operating system
- Ubuntu / Zephyr on MCU · Debian announced as coming soon
- Storage
- 64 GB eMMC · NVMe expansion
ON YOUR PREMISES
Space, power & connectivity
- Form factor
- Edge AI computer
- Dimensions
- Confirm with manufacturer
- Weight
- Not verified
- Power rating
- No complete-system power rating verified in the reviewed sources.
- Connectivity
- 2.5 GbE · Wi-Fi 6 (supplier tri-band listing) · Bluetooth 5.3
- Availability
- Manufacturer preorder page · confirm shipping date
BEFORE YOU CHOOSE
Manufacturer specifies 40 dense TOPS and 16 GB shared LPDDR5 memory. TOPS is not an LLM tokens-per-second benchmark.
A physical-AI evaluation needs the actual sensor, camera or actuator setup as well as the compute board.
The Lab’s generic LLM memory heuristic is conservative and is not a prediction of NPU model support.
Manufacturer specificationsHelp improve this record. Suggest a correction
IN THE FIELD
Deployment experiences
Operating records from customers, contributors and the Lab.
Where does your AI run?
In an office, a factory, an engineering lab or beside your test equipment. Share a deployment and keep the people behind it credited.
Contribute a deploymentTHE SHARED TECHNICAL LIBRARY
Knowledge around this machine.
Supplier recipes, community experience and UT’s deployment lessons, connected to the hardware.
OperationsUnderstand Tech
Offline is a property of the whole stack
Examine what still connects beyond the premises.
For your deployment
Distinguish initial installation, inference, application use, authentication and updates.
Deployment experienceUnderstand Tech
An execution agent beside the test equipment
Confidential Wi-Fi module test automation.
For your deployment
Exact hardware and proprietary test assets are not disclosed. This is an application field record.
THE LOCAL AI WATCH
All updates Updates for this machine
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MEMBER RATINGS · SELF-DECLARED, NOT MEASURED
How members rate the VENTUNO Q.
One rating per member, tied to a Lab profile. Stars count immediately; written verdicts are published after a quick review by the Lab team. A rating is an opinion about fit for a job, not a benchmark.
THE PEOPLE BEHIND THE MACHINES
Experience with VENTUNO Q?
Questions, ideas and experience from putting AI machines to work. You do not need a finished deployment to contribute.
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