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From zero to benchmark: Deploying LLM inference on CPUs with Red Hat AI Inference

From zero to benchmark: Deploying LLM inference on CPUs with Red Hat AI Inference

by Maryam Tahhan, John Harrigan, Anton Ivanov, Evgenii Dushkin, Ryan Malone | Oct 6, 2026 | AI

What if your standard-issue CPU infrastructure could serve as a hub for enterprise AI? With the right tools, it can. You can deploy a large language model on CPU inside a container on Red Hat Enterprise Linux (RHEL), query it via an OpenAI compatible REST API, and...
Benchmarking AI inference on CPUs: A transparent blueprint for the enterprise

Benchmarking AI inference on CPUs: A transparent blueprint for the enterprise

by Maryam Tahhan, John Harrigan, Anton Ivanov, Paul Power, Luigi Mario Zuccarelli | May 28, 2026 | AI

As enterprises look to optimize the total cost of ownership (TCO) of Large Language Model deployment, utilizing existing enterprise CPU infrastructure alongside GPU resources for specific inference workloads has become a strategic initiative. However, infrastructure...

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