Power rating
Published detailUp to 600 W full-load supplier rating for the chassis family. Optional Cloud AI 100 Ultra cards are rated 150 W each. No measured AC wall result for the selected bundle. [1]
Product image
Manufacturer product image. The selected configuration may vary.
Product photo & illustrative 3D · configuration may varySource
Sourced specifications
Deskside workstationAetina MegaEdge AIP-FR68
Qualcomm Cloud AI 100 Ultra · up to 2 cards
A complete OEM workstation for on-premises inference, using Qualcomm Cloud AI accelerators and the AI Inference Suite.
Up to 2 accelerator cardsReference memory
x86 host + acceleratorQualcomm 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
An industrial DC-powered system that needs a complete integration quote. The bare system does not include its power supply or accelerator cards.
Electrical input
Published detail24–48 V DC through a 4-pin terminal block; up to 600 W DC input. The AIP-FR68-A2 bare system excludes the power supply. [1]
Outlet & circuit
Not verifiedNo machine-specific branch-circuit requirement verified. Check the nameplate, regional cord and other loads on the same circuit.
Machine cooling
Published detailChassis thermal design supports two passive Cloud AI 100 Ultra cards. Passive cards rely on system cooling; they do not make the complete computer fanless. [1]
Operating limits
Published detailChassis ratings: 0–50°C with a 165 W passive GPU; 0–40°C with a 300 W active GPU. Obtain approval for the exact one- or two-card Qualcomm bundle. [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
Allow for sustained room heat, including after office hours. A ventilated equipment room may be more practical for multiple systems or continuous jobs. An internal liquid cooler does not remove the need for room cooling.
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
- 340 × 215 × 279 mm
- Weight
- 11 kg · confirm card population
- Have the integrator specify the AC/DC supply, wiring and circuit. The DC terminal is not a mains connection.
- Keep air inlets and exhausts unobstructed, with room for cables and servicing. An enclosed cupboard needs its own ventilation; the enclosure dimensions are not an airflow clearance.
- Confirm the final card count, thermal configuration and mounting hardware before installing.
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 (1)
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.
Qualcomm · indexed by the LabRecipeCompile a model for a Cloud AI workstation
Follow Qualcomm’s Efficient Transformers path from model weights to accelerator execution.
THE PLATFORM BEHIND THE MACHINE
Cloud AI 100 Ultra
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
- AIP-FR68 / up to 2 Cloud AI 100 Ultra cards; exact build on request
- CPU / accelerator
- Qualcomm Cloud AI 100 Ultra · up to 2 cards
- Memory
- Up to 2 accelerator cards
- Memory bandwidth
- See source; no lab measurement
- Architecture
- x86 host + accelerator
- Operating system
- Linux · Qualcomm AI Inference Suite for On-Prem
- Storage
- Confirm with manufacturer
ON YOUR PREMISES
Space, power & connectivity
- Form factor
- Deskside workstation
- Dimensions
- 340 × 215 × 279 mm
- Weight
- 11 kg · confirm card population
- Power rating
- Up to 600 W full-load supplier rating for the chassis family. Optional Cloud AI 100 Ultra cards are rated 150 W each. No measured AC wall result for the selected bundle.
- Connectivity
- See manufacturer configuration
- Availability
- Supplier inquiry · confirm regional availability
BEFORE YOU CHOOSE
Supports up to two Cloud AI 100 Ultra cards. Confirm the accelerator population and memory with the supplier.
128 GB is the memory-screen reference for one Cloud AI 100 Ultra card; availability to a compiled model depends on the runtime.
Qualcomm model conversion and runtime support require validation. A CUDA result does not establish compatibility.
The AIP-FR68-A2 orderable bare system excludes CPU, RAM, SSD, GPU card and power supply. Obtain a complete accelerator bundle quote.
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.
RecipesSupplier
Compile models for Qualcomm Cloud AI
QEfficient connects supported model checkpoints to Qualcomm’s accelerator toolchain.
For your deployment
Preserve card generation, SDK, model revision and compiler settings. A library support entry is not an Aetina performance result.
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 MegaEdge AIP-FR68.
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 MegaEdge AIP-FR68?
Questions, ideas and experience from putting AI machines to work. You do not need a finished deployment to contribute.
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