Page 140 - Red Hat PR REPORT - OCTOBER 2025

10/16/25, 11:31 AM Red Hat Delivers Distributed AI Inference for Production Workloads with Red Hat AI 3
Supporting Quotes
Joe Fernandes, vice president and general manager, AI Business Unit, Red Hat
“As enterprises scale AI from experimentation to production, they face a new wave of complexity, cost and control challenges. With Red Hat AI 3, we are providing an enterprise-grade, open source
platform that minimizes these hurdles. By bringing new capabilities like distributed inference with llm-d and a foundation for agentic AI, we are enabling IT teams to more confidently operationalize next-
generation AI, on their own terms, across any infrastructure.”
Dan McNamara, senior vice president and general manager, Server and Enterprise AI, AMD“As Red Hat brings distributed AI inference into production, AMD is proud to provide the high-performance
foundation behind it. Together, we’ve integrated the efficiency of AMD EPYC™ processors, the scalability of AMD Instinct™ GPUs, and the openness of the AMD ROCm™ software stack to help
enterprises move beyond experimentation and operationalize next-generation AI — turning performance and scalability into real business impact across on-prem, cloud, and edge environments.”
Mariano Greco, chief executive officer, ARSAT
“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
“Scalable, high-performance inference is key to the next wave of generative and agentic AI. With built-in support for accelerated inference with open source NVIDIA Dynamo and NIXL technologies, Red
Hat AI 3 provides a unified platform that empowers teams to move swiftly from experimentation to running advanced AI workloads and agents at scale.”

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