Page 144 - Red Hat PR REPORT - OCTOBER 2025

10/16/25, 11:32 AM Red Hat AI 3 helps enterprises scale AI workloads across hybrid environments - Help Net Security
Red Hat AI 3 introduces a new modular and extensible toolkit for model customization, built on existing InstructLab functionality. It provides specialized Python libraries that give
developers greater flexibility and control. The toolkit is powered by open source projects like Docling for data processing, which streamlines the ingestion of unstructured documents
into an AI-readable format. It also includes a flexible framework for synthetic data generation and a training hub for LLM fine tuning. The integrated evaluation hub helps AI engineers
monitor and validate results, empowering them to confidently leverage their proprietary data for more accurate and relevant AI outcomes.
“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,” said Joe Fernandes, VP and GM, AI Business Unit, Red Hat.

“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,” Dan McNamara, SVP and GM,
Server and Enterprise AI, AMD, concluded.

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