HuaKun AI infrastructure: workstation, server or cluster?
Choose between local inference, PCIe accelerators, modular platforms and clusters using memory, software fit, concurrency and a pilot.
ExploreTower workstations for local AI and short-depth rack servers for processing near the data source. SOFCONS scopes the configuration and integration for desk-side and field deployment.
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| Model | Applications | Key features |
|---|---|---|
| HuaKun AT600WManufacturer details ↗ | Compact ARM workstation for local model deployment at the desk. |
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| HuaKun AT600W(DT) Intelligent WorkstationManufacturer details ↗ | Local AI workstation with split liquid cooling for CPU and NPU. |
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| HuaKun DT618C B1Manufacturer details ↗ | Kunpeng tower workstation with split liquid cooling. |
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| HuaKun AT500 ProManufacturer details ↗ | Short-depth server for placing AI processing near the data source. |
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Choose between local inference, PCIe accelerators, modular platforms and clusters using memory, software fit, concurrency and a pilot.
ExploreAT600W, AT600W(DT) and DT618C B1 offer distinct configurations for local model work. The user application, model runtime and data-source integration shape the workstation choice. Liquid-cooled variants also bring cooling-system placement and service into the design.
AT500 Pro is a short-depth 2U edge server. In camera, sensor or industrial-system projects, local processing and retention are linked to the central-connectivity policy. Disconnected operation and remote management form part of the delivery scope.
SOFCONS aligns dimensions, power input, airflow, access control and remote management with site requirements. Workstations and edge servers address different deployment patterns; field suitability is assessed for the exact configuration.
Describe the location and AI workflow to specify a workstation or edge configuration.
Infrastructure, integration or software: start with the objective and the current situation.
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