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Research Computing Platform

Education & Research · Education & Research

Research Computing Platform

Assign GPUs by project; configure complete systems per data center.

For small-scale projects, use GPU workstations. For medium-scale projects, use GPU servers with 4 to 8 GPUs. For centralized training, select a full-rack solution based on the data center's power and cooling capabilities.

Request Quote by Project
Industry:Education & ResearchProducts involved:4product lineDeliverables:4Item

Use Cases

AI LabHigh-Performance Computing CenterDepartmental Computer Lab

Deliverables

  • Compute Resource Requirement Assessment
  • Complete System and Power Distribution Solutions
  • Cluster Deployment and Scheduling
  • Training

Implementation Path

From a single point to an entire area

STEP01

On-site Requirement Confirmation

Verify the locations and quantities for scenarios such as AI Labs, High-Performance Computing Centers, and departmental computer rooms against existing system data.

STEP02

Inventory and Configuration

Output a table listing model numbers, quantities, installation locations, and interface mappings to clearly identify add-ons and optional configurations.

STEP03

Implementation and Integration

Complete installation, configuration, and system integration per the "Deliverables" section, retaining all debug logs.

STEP04

Training and Handover

On-site training and daily maintenance, including account handover, configuration documentation, and spare parts list.

Competitor Solutions

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Beijing ICP License No. 2026026760