Page 134 - Red Hat PR REPORT - OCTOBER 2025

10/16/25, 11:30 AM Red Hat Brings Distributed AI Inference to Production AI Workloads with Red Hat AI 3
“As a provider of connectivity infrastructure for Argentina, ARSAT handles massive volumes of customer interactions and sensitive data. We needed a solution that would move us beyond simple automation to ‘Augmented
Intelligence’ while delivering absolute data sovereignty for our customers. By building our agentic AI platform on Red Hat OpenShift AI, we went from identifying the need to live production in just 45 days. Red Hat OpenShift
AI has not only helped us improve our service and reduce the time engineers spend on support issues but also freed them up to focus on innovation and new developments.”
Rick Villars, group vice president, Worldwide Research, IDC
“2026 will mark an inflection point as enterprises shift from starting their AI pivot to demanding more measurable and repeatable business outcomes from investments. While initial projects focused on training and testing
models, the real value – and the real challenge – is to operationalize model-derived insights with efficient, secure and cost-effective inference. This shift requires more modern infrastructure, data, and app deployment
environments with ready to use production-grade inference capabilities that can handle real-world scale and complexity, especially as agentic AI supercharges inference loads. Companies that succeed in becoming AI-fueled
businesses will be those who establish a unified platform to orchestrate these ever more sophisticated workloads in hybrid cloud environments, not just in silo domains.”
Ujval Kapasi, vice president, Engineering AI Frameworks, NVIDIA

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