Outcome-driven AI infrastructure

Build Your AI Data Center
From Design to Operations

Wistron AIDC Total Solution (WATS) delivers enterprise-grade AI GPU infrastructure in 2-3 months, starting from your requirements and matched with the best-fit software platform, vendor-agnostic architecture, and global operations support.

NVIDIA ecosystem High-performance storage InfiniBand / Spectrum-X Kubernetes + OpenStack

The Real Cost of Delay

CapEx Runs. Revenue Waits

Every month without go-live means hardware depreciation, power contracts, and operations costs run in full while GPU revenue stays at zero. In an AI infrastructure CapEx model, delay has a precise financial cost per day.

No Single Owner, No Clear Timeline

When compute, network, storage, software, and operations belong to separate vendors, integration becomes no one's core responsibility. Gaps turn into weeks of delay, and the business absorbs every overrun.

Stranded Capital, No ROI Proof

Without quota boundaries, chargeback data, and utilization reporting, expensive GPU capacity stays underused and unaccountable. Leadership loses the visibility needed to measure returns or justify expansion.

Governance Debt Compounds at Scale

Enterprise and sovereign AI platforms require RBAC, tenant isolation, audit trails, and policy enforcement from day one, not retrofitted later. Skipping governance at the start means inheriting compliance debt at scale.

The Requirements Are Non-Negotiable

GPU server rack infrastructure

AI GPU Providers

  • Go live within 2–3 months of project start
  • One team accountable from architecture to production
  • Repeatable, rack-scale deployment across sites and regions
Enterprise datacenter operations and maintenance

Enterprise End Users

  • Stable, high-performance IaaS from day one
  • Hardware and software designed as one integrated system
  • Unified operations, maintenance, and enterprise management

We Start From Outcomes

AI infrastructure is the production capacity behind your AI output. WATS starts from your requirements, assembles best-fit GPU compute, networking, storage, and support, and delivers it as a managed, governed AI cloud service. Chthonia provides the operations control plane. One team accountable from design to day-one operations.

AIDC total solution flow from assessment and design to deployment, operation, and scaling
Integrated service model connecting architecture, validated infrastructure, Chthonia software, and operations support

One Integrated Service Model

AIDC connects architecture planning, Chthonia software, validated infrastructure, global logistics, and ongoing support into one accountable delivery model.

Chthonia Enterprise AI GPU Cloud Operations Control Plane

Chthonia turns multi-IDC GPU infrastructure into an AI cloud service that is self-service, governed, observable, billable, and optimizable. It is not a GPU IaaS layer, a monitoring tool, or a billing system. Chthonia connects GPU infrastructure, AIDC operations, AI platform teams, SRE, FinOps, and the customer portal into one governed layer, transforming raw GPU resources into enterprise-operable AI cloud service.

Chthonia AI GPU cloud service resource quota interface

Self-service GPU cloud workflows

Bare metal and container provisioning with multi-tenant governance, quota controls, scheduling policies, and full service portal visibility.

Chthonia datacenter ITSM monitoring dashboard

Operations designed for real datacenters

Monitoring, alerting, incident workflows, and SLA management purpose-built for teams running mission-critical GPU infrastructure.

Chthonia enterprise BI and asset billing report

Governance and business visibility

Asset lifecycle tracking, cost visibility by org and project, and chargeback-ready reporting that gives leadership the transparency to govern AI capacity.

We Own Every Step, Design to Operations

Design

AIDC architecture, rack layout, cabling, network fabric, and deployment model.

Procure

GPU compute, networking, storage, optics, cables, and global logistics coordination.

Deploy

On-site implementation, system integration, Chthonia deployment, and acceptance validation.

Operate

Monitoring, incident response, help desk, on-site maintenance, and service reporting.

Optimize

Utilization analysis, capacity planning, policy tuning, and continuous product upgrades.

2-3months target go-live
90+countries logistics capability
50+countries on-site response
7x24support multilingual help desk

Built for Control and Scale

Large Enterprise

Build a private AI factory with data sovereignty, enterprise governance, and predictable GPU operations.

GPU Cloud Providers

Launch a multi-tenant GPU cloud service faster with IaaS workflows, quota boundaries, and service management.

Sovereign AI / Government

Deploy regulated AI infrastructure with isolation, auditability, local control, and multi-region expansion paths.

About AIDC

We are a team of AI infrastructure engineers, cloud architects, and global operations specialists. Our mission is to turn AI infrastructure investment into operational, governed AI capacity. Faster to deploy. Easier to govern. Built to scale.

Built on an outcome-driven philosophy, we start from each customer's requirements and deliver GPU capacity as a managed AI cloud service. Chthonia provides the operations control plane. Our end-to-end services work with any hardware, any cloud model, and any scale.

Outcome-driven Start from needs, match the best-fit platform
Vendor-agnostic Best-fit architecture for customer requirements
Global operations Design, logistics, deployment, and support coverage

Start Your AIDC Plan

Tell us your target GPU capacity and timeline. We will propose a reference architecture and practical path to production.