Power rating
Published detail240 W external adapter capacity. [1]
Product image
Manufacturer product image. The selected configuration may vary.
Product photo & illustrative 3D · configuration may varySource
Sourced specifications
Desktop AI systemGIGABYTE AI TOP ATOM
GB10 Grace Blackwell Superchip
A one-liter GB10 computer with high-speed networking and three documented storage variants.
128 GB unifiedReference memory
arm64CUDA ecosystem
Compared withNVIDIA DGX Spark
BEFORE IT ARRIVES
Power, cooling & your space.
What this configuration needs on your premises.
Lab assessment · based on the evidence below
Office candidate
A compact office candidate using an external adapter. Validate sustained-load airflow and sound before deploying several units together.
Electrical input
Not verifiedRegional input voltage, current and connector are not verified. Check the supplied power unit and installation manual.
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 detailServeTheHome’s disassembly shows two Delta fans, a heatsink, copper contact plates and heat pipes. Observed on its 1 TB review configuration. [2]
Operating limits
Not verifiedWhole-system ambient temperature and humidity limits are not verified. A power-supply temperature limit is not a system limit.
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
- 150 × 150 × 50.5 mm
- Weight
- 1.2 kg
- 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 regional adapter input and the manufacturer’s approved stacking arrangement before placing units together.
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.
Understand TechField recordAn AI application stack on two office Sparks
UT’s move from rented cloud GPUs to machines in its own office, and the engineering record behind it.
NVIDIA · indexed by the LabRecipeA browser chat interface, served by your Spark
NVIDIA’s Open WebUI and Ollama guide, connected to the hardware and operating questions it raises.
NVIDIA · indexed by the LabRecipeAn inference endpoint for your local applications
Connect applications to a model server on a GB10 or GB300 reference platform using vLLM.
THE PLATFORM BEHIND THE MACHINE
GB10 / DGX Spark
8 catalog configurations
BEYOND THE SPECIFICATION
Lessons for running this machine.
Published guidance and checklists to help you investigate the full deployment.
Infrastructure
Ollama, vLLM, NIM: nine months of deployment learning.
UT’s reported journey across serving stacks, hardware integration and customer feedback. A starting record for the decisions and evidence still to publish.
UT field note
Startup & recoveryA NIM container that took about 30 minutes to start.
An operator-reported startup observation from UT’s GB10/GB300 work. The next step is to identify the exact configuration and separate the startup phases.
UT field note
Engineering applicationsLocal 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
THE CONFIGURATION
Inside the machine
- Configuration
- ATAGB10-9000 / 9001 / 9002 family
- CPU / accelerator
- GB10 Grace Blackwell Superchip
- Memory
- 128 GB unified
- Memory bandwidth
- 273 GB/s
- Architecture
- arm64
- Operating system
- NVIDIA DGX OS
- Storage
- 1 TB Gen4 / 4 TB Gen4 / 4 TB Gen5
ON YOUR PREMISES
Space, power & connectivity
- Form factor
- Desktop AI system
- Dimensions
- 150 × 150 × 50.5 mm
- Weight
- 1.2 kg
- Power rating
- 240 W external adapter capacity.
- Connectivity
- 10 GbE · ConnectX-7 · Wi-Fi 7
- Availability
- Check regional availability
BEFORE YOU CHOOSE
GIGABYTE publishes three ATAGB10 variants differing in storage (1 TB Gen4, 4 TB Gen4, 4 TB Gen5). Confirm which variant a regional seller offers; no usable public price was verified on the review date.
The ATOM shares NVIDIA's GB10 platform. Platform guidance applies; no Lab measurement exists for this exact chassis.
Memory capacity alone does not establish speed, runtime compatibility or production capacity.
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.
OperationsSupplier
Manage a Spark fleet and prepare offline installation
NVIDIA documents enterprise lifecycle integration and custom installation patterns.
For your deployment
Example tools are not preinstalled. Adapt to your management system and check the documented support boundaries.
RecipesSupplier
NIM inference on DGX Spark
NVIDIA’s model-serving playbook.
For your deployment
Check the selected NIM profile, image digest, memory use and readiness time.
RecipesSupplier
Serve models with vLLM
NVIDIA’s vLLM setup reference.
For your deployment
Pin the container and test your model, prompt lengths and simultaneous requests.
THE LOCAL AI WATCH
All updates Updates for this machine
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MEMBER RATINGS · SELF-DECLARED, NOT MEASURED
How members rate the AI TOP ATOM.
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 AI TOP ATOM?
Questions, ideas and experience from putting AI machines to work. You do not need a finished deployment to contribute.
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