Internet Data Center · Internet & Data Center
AI Compute Cluster
Configure separately for training and inference.
Training clusters are delivered as full racks with liquid cooling or high-power air cooling; inference nodes use higher-density models. Storage and networking are planned in sync based on bandwidth ratios.
Solution Components
What's included in this plan?
Use Cases
Deliverables
- Power and Thermal Assessment
- Rack-level delivery
- Cluster Deployment and Scheduling
- Performance Testing and Acceptance
Implementation Path
From a single point to an entire area
STEP01
On-site Requirement Confirmation
Confirm the locations and quantities of sites for large model training, inference services, and scientific computing against existing system status.
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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Wheel-based robots inspect server cabinet indicator lights and environmental parameters in data center aisles. Quadruped robots patrol outdoor campuses and generator areas. Abnormalities automatically generate work orders.
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