AI INFRASTRUCTURE
Build Infrastructure Ready for Production AI
Moving AI into production requires infrastructure that can support the compute, data and operational demands behind modern AI workloads.
Choose the Right Environment for AI Workloads
CDW helps organizations place AI workloads where they deliver the greatest value, balancing performance, cost, security and operational requirements.
Build an AI-Ready Data Foundation
- Hyperscaler AI Foundation
- Dedicated GPU and Neocloud
- Private AI Factory
Build AI in the Cloud Without Building It Twice
CDW helps establish governed cloud environments with the landing zones, security controls, networking and identity services required to support AI workloads from day one.
- Establish AI landing zones
- Build secure cloud foundations
- Accelerate proof-of-concept initiatives
- Support hybrid and multicloud strategies
Rent the GPUs Instead of Buying Them
Access production-scale AI infrastructure without purchasing and operating your own hardware. CDW helps organizations evaluate providers, size workloads and connect AI environments to existing data and operations.
- Accelerate AI deployment
- Access specialized GPU resources
- Scale on demand
- Optimize infrastructure spending
Run AI in an Environment You Control
CDW helps organizations build private AI environments designed for sensitive data, production workloads and long-term operational control, with the compute, storage, networking and orchestration needed to support AI at scale.
- Support regulated environments
- Enable low-latency AI workloads
- Maintain greater control over infrastructure
- Scale AI on your own terms
AI Ambition Is Outrunning Infrastructure
AI success depends on more than models and use cases. Workloads need compute, storage, networking, power and placement aligned to how AI actually runs. Without the right foundation, organizations face capacity constraints, idle resources, rising costs and pilots that never reach production.
The most successful organizations start with workload requirements, operational goals, security requirements and data location, and then place workloads where they make the most sense.
$1.5T
Worldwide AI infrastructure spending in 2026, exceeding every other category of AI spending.
Gartner, Worldwide AI Spending Forecast, September 2026.
AI Infrastructure Solutions
AI-Ready Capacity
Deploy the compute, GPU, storage and networking resources needed to support training, inference and production AI workloads.
Cost and Power Under Control
Align infrastructure investments to real demand while improving visibility into GPU utilization, power, cooling requirements and cost per workload.
Scale Across Cloud and Data Center
Place workloads where they belong across hyperscalers, dedicated GPU and neocloud providers, and private AI environments while maintaining performance, operational control and scalability.
Why Choose CDW for AI-Ready Infrastructure?
CDW helps organizations move beyond infrastructure guesswork and bottlenecks. We assess what you already own, determine what it can support and build a practical path from experimentation to production environments. By combining expertise across cloud, data center, dedicated GPU environments and private AI platforms, we help organizations place workloads intentionally and build the compute, storage, networking and operational foundations required to move from experimentation to production.
Technology Partners Powering AI-Ready Infrastructure
Explore the Latest AI Insights from CDW
View All
Healthcare AI Costs: Why Agent Workflow Design Matters More Than Model Price
Operationalizing Federal AI at Scale: Beyond the Pilot
Governance Done Right: How to Scale Gemini Without Slowing Innovation
Put the Right Workload in the Right Place
Infrastructure is where AI ambition meets physics. CDW helps organizations turn infrastructure decisions into a practical path to production AI through intentional workload placement, modern architectures and environments built to scale.