# On-Prem or Cloud? Either Way, Data Center Compute Demands Necessitate the Need for AI Accelerators

By Mark Beccue · Published 2024-05-14 · Updated 2026-05-19 · Professional AV on MarketScale
Canonical: https://www.marketscale.com/industries/pro-av/data-center-compute
Creator hub: Experts Talk

> Businesses must rethink their infrastructure strategy as AI workloads reshape what data centers can actually deliver

## Key points

- AI workloads are outpacing what conventional data center compute can deliver, making AI accelerators a necessity rather than an option.
- The on-prem vs. cloud debate is no longer just about cost or control — it now hinges on access to specialized AI compute hardware.
- Organizations must proactively reassess their infrastructure roadmaps to align with the realities of accelerated AI computing demands.

With the increasing demand for powerful data center compute capabilities, data centers are at the forefront of driving the need, development, and purchase of AI accelerators. This surge is influenced by the expanding role of AI in business operations, creating a critical demand for advanced hardware solutions. Data centers are at the forefront of driving the need, development, and purchase of AI accelerators.How are data centers shaping the landscape of AI compute, and what strategic decisions should businesses consider in this evolving environment? In a recent Experts Talk roundtable discussion, Mark Beccue, a top AI market research analyst, expanded on the nuances of data center compute and the pivotal role of AI accelerators. His expert analysis offers valuable insights into the current trends and strategic considerations for enterprises navigating this complex terrain. Main Takeaways from Mark Beccue's Analysis: Data Center Compute: Heavy computational loads handled by data centers fall into two categories: on-premises (on-prem) and cloud-based solutions Enterprise Decisions: Enterprises must choose between investing in on-prem data centers or leveraging cloud services from providers like Amazon, Azure, and Google Pros and Cons: Cloud services offer quick deployment and scalability, but data security remains a significant concern for many companies Market Trends: The limited availability of compute resources in the market drives strategic decisions about whether to build on-prem from scratch or rely on cloud services Strategic Considerations: Enterprises need to weigh the benefits of speed and scale against the challenges of data security and management when choosing their AI infrastructure For a more in-depth discussion, view the complete roundtable conversation.

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