Data center hardware: 5 trends beyond GPUs in July 2026

Key Takeaways

• Networking, memory, and CPUs now share the spotlight with GPUs as AI bottlenecks shift across the stack
• HPE's Discover 2026 bet on hybrid quantum-supercomputing and networking-first architecture signals where enterprise AI is heading
• North Carolina ended power tax breaks for data centers while keeping capital incentives, a policy split other states may follow

Data center hardware investment is no longer a GPU story. According to Data Center Knowledge's most-read coverage from June 2026, vendors are now spending heavily across networking, memory, CPUs, and orchestration software to eliminate bottlenecks that accelerators alone cannot fix. The shift marks a new phase in AI infrastructure, where system-level thinking beats component-level brute force.

What did HPE announce at Discover 2026?

Hewlett Packard Enterprise used Discover 2026 to lay out a three-pronged AI infrastructure strategy. First, the company is betting on hybrid quantum-supercomputing architectures, positioning itself for workloads that classical systems handle poorly. Second, HPE pushed a networking-first approach to AI performance, arguing that data movement, not compute density, increasingly limits throughput. Third, new AI networking products aim to maximize GPU utilization, targeting clusters where expensive accelerators sit idle waiting for data.

The networking focus matters. A 2024 study from NVIDIA found that poorly optimized networks could leave GPUs underutilized by 30% or more. HPE's pitch: fix the plumbing before buying more chips.

Crusoe challenges GPU-centric thinking

Crusoe, known for its natural-gas-powered AI data centers, made headlines by pushing competition beyond GPUs. The company argues that power efficiency, cooling architecture, and software orchestration will differentiate AI infrastructure providers more than raw accelerator counts. It's a contrarian view in a market still obsessed with hoarding H100s.

The argument has teeth. Power constraints are real. Google's July report admitted AI growth is outrunning grid decarbonization efforts. Data centers now consume over 100 GW globally, and that figure is climbing.

North Carolina ends power tax break, keeps capital incentives

North Carolina's policy shift offers a preview of the regulatory tightrope data center operators will walk. The state ended its power consumption tax break while maintaining capital investment incentives. Translation: build here if you want, but don't expect cheap electricity.

The move reflects growing friction between data center expansion and local power grids. Ohio communities have pushed back on proposed facilities. Virginia, the densest data center market in the US, has faced interconnection delays. States want jobs and investment. They're less enthusiastic about subsidizing the electricity bill.

Supercomputing efficiency: FLOPS vs megawatts

A June analysis from Data Center Knowledge asked the right question: who's winning in 2026 supercomputing? The answer depends on whether you measure raw performance or performance per watt. The most powerful systems aren't always the most efficient, and the gap matters when power availability limits deployment.

This metric will increasingly drive procurement decisions. When you can't get more power, you optimize what you have.

What infrastructure teams should watch

June's coverage points to five areas where data center hardware decisions are getting harder: networking fabric design, memory hierarchy for AI workloads, CPU selection for orchestration tasks, power density management, and regulatory risk assessment. The era of "buy GPUs, figure out the rest later" is over.

Teams evaluating colocation or on-premises expansion should audit their current stack for bottlenecks before adding accelerators. Project management tools like ClickUp or Asana can help coordinate cross-functional infrastructure reviews.

Frequently Asked Questions

Why are data center vendors focusing on networking over GPUs?

Poor network design can leave GPUs idle 30% or more of the time. Vendors like HPE argue that optimizing data movement delivers better returns than adding more accelerators to a bottlenecked system.

What did North Carolina change about data center tax incentives?

The state eliminated power consumption tax breaks while keeping capital investment incentives. Data centers can still build there, but electricity costs will not be subsidized.

How much power do global data centers consume?

Global data center power consumption exceeds 100 GW and is climbing, driven largely by AI workload growth that outpaces grid decarbonization efforts.

What is hybrid quantum-supercomputing architecture?

HPE's approach combines classical supercomputing with quantum computing elements, targeting workloads where traditional systems struggle with specific computational problems.

Why does power efficiency matter more now for AI data centers?

Power availability, not budget, increasingly limits AI infrastructure deployment. When operators can't get more electricity, efficiency per megawatt becomes the critical metric.

Source: datacenterknowledge