Over the past year, AI has shifted to an active priority. Conversations that once focused on use cases are now centered on infrastructure. Can our environment support AI? What needs to change? How much will it cost?
One thing the Align team has noticed is that many organizations start by evaluating AI hardware. That's understandable. GPUs are the visible investment. But whether those systems perform as expected depends just as much on the facility they're deployed in.
We've worked with organizations that operate reliable, well-maintained data centers only to discover they weren't built for the sustained power, cooling, and density that modern AI workloads require.
Before investing in new hardware, it's worth answering a couple questions.
A data center that performs reliably for traditional enterprise workloads isn't necessarily equipped to support high-density AI infrastructure. GPU-based systems consume substantially more power, generate significantly more heat, and require greater rack densities than most facilities were originally designed to handle.
Whether your environment is truly AI-ready depends on several factors working together, including:
Looking at any one of these components in isolation can create a false sense of readiness. A facility may have sufficient power but inadequate cooling. It may have enough floor space but lack the electrical distribution needed to support high-density racks. These interdependencies are why AI readiness can't be determined with a simple capacity check.
Before investing in GPUs or making infrastructure upgrades, organizations need an objective assessment of how their facility performs as a complete system.
Not every infrastructure gap should be solved with another upgrade. Once an Enterprise AI Assessment identifies the changes needed to support AI, the next question becomes whether those investments make sense for your business. Depending on the age of the facility, available capacity, long-term growth plans, and the cost of modernization, upgrading an existing data center may be the right choice—or it may not.
We've seen organizations assume they needed to retrofit their current environment, only to discover that consolidating infrastructure or relocating to a facility purpose-built for higher-density workloads offered a more practical and cost-effective path. In other cases, targeted improvements to power, cooling, or rack configuration were all that was needed to support their AI roadmap.
Align's Enterprise AI Assessment provides a comprehensive evaluation of your facility's readiness for high-density AI workloads, helping organizations make informed decisions before investing in infrastructure upgrades or new AI hardware.
Built on the same expertise organizations rely on for data center strategy, design, migrations, and modernization, the assessment identifies infrastructure constraints, validates your environment against AI objectives, and delivers practical recommendations for next steps.
Whether your assessment confirms your data center is ready today or reveals changes that need to happen first, you'll leave with something every successful AI initiative needs: a confident, informed path forward.
Determining whether your data center can support AI starts with understanding the facility as a whole. Power, cooling, capacity and infrastructure constraints all influence what your environment can support today and how it needs to evolve.
Learn more about our Data Center solutions.