Single Accountability
One operating model across hardware, software, service delivery, and post-deployment support.
Our Service
AI infrastructure is the production capacity behind your AI output. Wistron AIDC Total Solution (WATS) connects architecture planning, validated hardware, Chthonia software, global delivery, and long-term operations support into one accountable path from requirements to production.
Service promise
AIDC reduces the operational gap between strategy, hardware, software, deployment, and support by putting a single accountable owner on the path to production.
One operating model across hardware, software, service delivery, and post-deployment support.
Repeatable rack-scale delivery and standardized playbooks reduce integration and go-live risk.
Pre-validated architecture aligns compute, network, storage, software, and operations workflows.
Operational standards, support coverage, and service reporting help enterprises run AI capacity with confidence.
The delivery journey
One lifecycle from requirements to production AI infrastructure, with every stage owned by the same accountable team.
Workload goals, GPU capacity, timeline, deployment model, and operational constraints.
Reference architecture, rack layout, cabling, network fabric, and service model.
GPU compute, networking, storage, optics, cables, and partner coordination.
Infrastructure staging, integration planning, Chthonia deployment, and validation.
Monitoring, maintenance, help desk, spare parts, field response, and reporting.
Capacity expansion, multi-site rollout, policy tuning, and operations optimization.
Integrated delivery stack
AIDC brings the critical layers of AI data center execution into one accountable model, from the Chthonia operating platform down to networking fabric and after service.
One-stop delivery and support
Rack layout, cabling, fabric design, storage architecture, and rollout planning.
GPU servers, switches, SmartNIC / DPU options, optics, cables, and storage coordination.
Customs clearance and delivery coordination across deployment regions and timelines.
Installation, infrastructure integration, software deployment, and production readiness.
Routine inspection, field operations, incident response, and operational reporting.
Warehousing, rental service, RMA coordination, and enterprise SLA support.
Multilingual call center coverage with rapid response workflows and escalation paths.
Validation and standards
Customs and logistics coordination, on-site response, spare parts, and multilingual service workflows for enterprise AI infrastructure.
Plan and deploy a new AI data center with validated architecture, Chthonia, and operations coverage.
Scale existing environments with repeatable building blocks, procurement, validation, and deployment support.
Support sovereign AI, regulated infrastructure, or multi-region expansion with unified service workflows.
We will propose a reference architecture, delivery path, and operating model for your AI infrastructure goals.