What’s Changed and What Hasn’t: Planning for Memory, Storage and AI Demand

September 03, 2026

Article
4 min

What’s Changed and What Hasn’t: Planning for Memory, Storage and AI Demand

The memory crunch may seem over, but there are still challenges. Join CDW experts for insights on costs, key decision levers and how to prepare your data center for AI growth without unexpected disruption or budget strain.

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Planning for Memory, Storage and AI Demand

Many organizations assumed memory and storage shortages would be temporary, but the reality is more complex than manufacturing capacity alone can solve. As AI adoption accelerates, manufacturers are prioritizing high-bandwidth memory (HBM) production, which is consuming much of an already constrained DRAM wafer supply. At the same time, hyperscalers are signing multiyear contracts with manufacturers, extending supply constraints and associated cost increases with no clear end in sight.

As memory availability and prices have steadily increased, the focus on operational efficiencies within your existing infrastructure has become integral to navigating constraints. For example, the re-emergence of storage tiering as an infrastructure strategy has affected SSD and HDD availability and cost, adding another layer of challenge to an already challenging situation.

At the same time, organizations are facing growing pressure to ensure their power and cooling infrastructure can support future data and AI demands, making capacity planning more complex than ever. Leading to the obvious question: what can your organization do to maintain growing business operations when resources are constrained?

Building Amid Constraints

First, it’s important to acknowledge that this memory shortage is demand driven. AI workloads are consuming global memory and storage supply at a pace the industry has never experienced.

This is not a temporary shock; it represents a structural shift in infrastructure demand. You cannot afford to wait for pricing and supply to normalize. To successfully navigate the shortages, you need to evaluate how your business is consuming infrastructure resources and plan accordingly. Having clearly defined business strategies will allow your company to adapt to the shifting market changes by building around supply constraints and meeting your growing AI workload demands.

3 Levers for Resilience

There are three proactive strategies organizations can use to improve resilience and maximize the value of their technology investments despite ongoing infrastructure and supply constraints. Each strategy focuses on a critical component of the modern data center: architecture, workloads and data.

  1. Intentional Architecture
    Architecture is the foundation of an efficient and modern IT environment. By simplifying infrastructure, reducing complexity and aligning technology to business goals, organizations can improve operational efficiency, accelerate modernization efforts and create a more flexible foundation for future growth.

    When infrastructure is designed with consistency and scalability in mind, organizations can operate more effectively, respond faster to change and create a stronger platform for innovation. Proper architecture helps ensure technology investments deliver both immediate value and long-term business benefits.

  2. Workload Optimization
    A strategic approach to workload placement helps organizations maximize the value of existing infrastructure while improving efficiency and flexibility. By aligning applications with the environment that best meets their business and technical requirements, whether on-premises, in the cloud or in a co-location facility, organizations can optimize costs, improve performance and increase operational resilience.

    The goal is to place each application in the environment best suited to its needs, ensuring resources are used effectively while supporting business outcomes.

  3. Data Management
    Purposeful data management helps organizations reduce storage consumption, control costs and improve operational efficiency. Because it is not dependent on new infrastructure deployments, it can begin immediately, helping ensure data is governed, secure, integrated and ready to support both business operations and future AI initiatives.

    By managing data more intentionally and aligning retention practices to business needs, organizations can reduce waste, improve resource utilization and build a stronger foundation for hybrid IT.

Balancing Cost and Capacity

You've taken steps to manage data more efficiently. Now it's time to align your budget with that reality.

With costs rising, resources limited and lead times extending, some orders placed now may not ship or be invoiced before the end of the year. Review open orders and identify any that are unlikely to be shipped in 2026. Consider shifting those dollars to initiatives that can deliver immediate value, such as power and cooling upgrades, data preparation efforts or other efficiency-focused investments.

As you plan for next year, build budgets that reflect today's environment of longer lead times and growing AI-driven demand.

A Challenging Future for Data Centers

Aging infrastructure, climate impacts and higher demand are pushing today’s data centers to their operational limits. Energy management is absolutely crucial, but this is met with a demand for speedy deployment.

These challenges are risking the safety of both our people and our assets. Higher power densities pose new risks that require more advanced cooling and power strategies. The United States has invested in cleaner energy, but not more energy. What steps can you take to offset this challenge?

CDW Can Help

At CDW, we lead with clear communication. This challenge is evolving on a weekly basis, but we are here for you. Our experts provide guidance, connect you with the right partners and start with a no-cost Capacity Analysis and Reporting Assessment (CARA). This delivers benchmarking, storage and virtualization insights, operational observations and capacity forecasting. CARA helps you better understand your resources and empowers you to make informed decisions moving forward.

When you are prepared for the next step, CDW offers an expert-guided power and cooling assessment. We review your entire environment, beginning with power availability. From there, we align IT, facilities and financial priorities to create a plan that fits your goals and budget. We focus on cooling readiness for future data demands and drive efficiency across the entire power path, not just the server.

Beyond power and cooling assessments, CDW can help you plan for a more resilient energy future. Our experts evaluate your existing infrastructure, power requirements and long-term objectives to develop microgrid strategies that strengthen uptime, improve energy efficiency and prepare your environment for the growing demands of AI and high-density workloads.

A solution may be as simple as integrating solar generation and battery storage, or as comprehensive as an intelligent microgrid that combines solar, wind, hydrogen and other energy sources into a unified system. No matter the scope, CDW provides the expertise, partnerships and resources to help you navigate complex energy challenges and move forward with confidence.

At every stage, you have a partner who is prepared to deliver more than just added compute. We provide efficient, reliable capacity aligned to your operational realities.

At every stage, you have a partner who is prepared to deliver more than just added compute. We provide efficient, reliable capacity aligned to your operational realities.

Eryn Brodsky

Solution Practice Lead for Enterprise Networking

Eryn Brodsky is the practice lead for servers, storage and platforms at CDW, where she guides strategy, portfolio alignment and technical direction within CDW's hybrid infrastructure practice. She develops modern infrastructure and platform strategies to support evolving priorities, AI readiness and data-driven transformation.