Rethinking AI Infrastructure: The Strategic Role of Accelerated CPUs - IDC

IDC opinion based on research of IT Directors, executives, or C-level decision makers on workload performance on accelerated processors vs. processors with GPUs. IDC set out to establish some of the metrics that can inform a decision process for when GPUs are needed and when they are not needed via a survey of 377 respondents and a qualitative study based on nine in-depth interviews (see the Methodology section for more details). This white paper delves into the study's results.

IDC takes a look at the role of Accelerated CPUs in the current and future landscape of AI workloads by Guest Blogger Heather West, PhD

IDC set out to establish some of the metrics that can inform a decision process for when GPUs are needed and when they are not needed via a survey of 377 respondents and a qualitative study based on nine in-depth interviews (see the Methodology section for more details). This white paper delves into the study's results.As enterprises scale AI across increasingly diverse environments, accelerated CPUs are shifting from a niche solution to a strategic cornerstone. Their ability to deliver balanced performance, cost efficiency, and seamless integration makes them indispensable for organizations aiming to operationalize AI without the overhead of specialized infrastructure. By deploying accelerated CPUs where they deliver the greatest impact, enterprises can build AI systems that are not only powerful and practical but also resilient, adaptable, and ready to meet the demands of tomorrow’s intelligent enterprise

Unlock scalable, cost-efficient AI performance with accelerated CPUs designed to power diverse workloads without the complexity or cost of GPU-only strategies.

RETHINKING AI INFRASTRUCTURE: The Strategic Role of Accelerated CPUs - Why Enterprises Are Moving Beyond GPU-Only Strategies for Scalable, Cost-effective AI