The Most Seasoned Partner for the AI Era, AIMTOG
BUSINESS
BUSINESS AREA · AI DATA CENTER
Where the AI data center actually runs,
we build the foundation.
AIMTOG builds, brings online, and operates GPU infrastructure — taking responsibility for the practical foundation that makes an AI data center actually work.
DBDM FRAMEWORK
The four stages in which an AI data center comes together
An AI data center is built along a single flow: it begins with design, then moves through build, deploy, and operate.
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Design
Requirements definition
Review of power and cooling conditions. -
Build
x86, GPU, storage, and network configuration
Equipment rack-up and cabling. -
Deploy
Cluster configuration and software-stack deployment
Performance validation and workload bring-up. -
Manage
Continuous monitoring and resource operations
Incident response and maintenance.
Four Pillars
AI infrastructure determines compute performance, the data center facility keeps it from stopping, proven operations capability protects uptime, and solutions create new value on top of it all.
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01
AI Infrastructure
High-performance computing infrastructure that determines compute performance
x86 · GPU · Storage · Network
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02
Data Center Facility
The physical operating environment that keeps infrastructure from stopping
Power · Cooling · Floor space
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03
Operations
Infrastructure operations capability proven in the field
On-site operations · Maintenance · Stabilization
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04
Solutions
Software capability that creates value on top of infrastructure
AI platform · Traffic control · Software
