— SOLUTION

AI Architecture

Professional services for network design and AI-ready infrastructure consulting. Includes reference architecture design, GPU cluster planning, power/cooling sizing, and workload-to-infrastructure mapping for AI/ML deployments.

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Overview

AI workloads do not fit traditional data center designs. Power density, cooling requirements, network fabric, and storage architecture all need to be reconsidered when GPU clusters become the primary workload. Our professional services team works with engineering and infrastructure leaders to design AI-ready environments, validate vendor reference architectures against your actual workloads, and translate workload requirements into deployable infrastructure specifications.

AI workloads do not fit traditional data center designs. Power density, cooling requirements, network fabric, and storage architecture all need to be reconsidered when GPU clusters become the primary workload. Our professional services team works with engineering and infrastructure leaders to design AI-ready environments, validate vendor reference architectures against your actual workloads, and translate workload requirements into deployable infrastructure specifications.

Capabilities

Capabilities

  • AI and ML reference architecture design

  • GPU cluster planning and sizing

  • Power density and cooling analysis

  • Network fabric design (InfiniBand, Ethernet, RoCE)

  • Storage architecture for AI training and inference

  • Workload-to-infrastructure mapping

  • Vendor reference architecture validation

  • Multi-site and edge AI infrastructure design

How It Works

Step 1

Workload assessment

We assess your AI workloads, training and inference patterns, model sizes, and performance requirements to ground the design in actual usage.

Step 2

Reference architecture

Architecture options developed across vendor platforms, with side-by-side comparisons of cost, performance, and operational complexity.

Step 3

Validation and refinement

Selected architecture validated against workload requirements, with sizing iterations to optimize cost and capacity.

Step 4

Deployment-ready specifications

Final design delivered as deployment-ready bill of materials, cabling diagrams, and configuration specifications ready for procurement and integration.

Outcomes

Outcomes

  • AI infrastructure designed for actual workloads, not generic templates

  • Right-sized capacity that avoids over- and under-provisioning

  • Vendor selection informed by independent analysis

  • Seamless handoff into procurement, integration, and deployment

Use Cases

Enterprise AI infrastructure

GPU rack integration with liquid cooling readiness, power validation, and pre-staged AI software stacks tested before shipment.

Network modernization

Refreshing network architecture to support AI workloads, edge expansion, or hybrid cloud connectivity requirements.

Vendor evaluation

Independent analysis of vendor reference architectures against your specific workload patterns and operational constraints.

Planning AI infrastructure for the next deployment cycle?

Planning AI infrastructure for the next deployment cycle?

Planning AI infrastructure for the next deployment cycle?

Tell us about your workloads and timeline. We will scope an architecture engagement within 48 hours.

Talk to an Infrastructure Architect

Global data center infrastructure services, from sourcing to disposition, across 40+ countries — with a single point of accountability.

CONTACT

+1 (909) 830-8780

11175 Azusa Ct. Suite 110

Rancho Cucamonga CA 91730

United States

© 2026 Global Edge

Privacy · Terms

Global data center infrastructure services, from sourcing to disposition, across 40+ countries — with a single point of accountability.

CONTACT

+1 (909) 830-8780

11175 Azusa Ct. Suite 110

Rancho Cucamonga CA 91730

United States

© 2026 Global Edge

Privacy · Terms

Global data center infrastructure services, from sourcing to disposition, across 40+ countries — with a single point of accountability.

CONTACT

+1 (909) 830-8780

11175 Azusa Ct. Suite 110

Rancho Cucamonga CA 91730

United States

© 2026 Global Edge

Privacy · Terms