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7/3/25, 11:21 AM Inside Red Hat’s Telecom Strategy: AI-Enabled, Open, Secure, and Built for What’s Next - Telecom Review Middle East
AI’s role also extends to radio access networks (RAN) incorporating AI into radio networks to improve
operational efficiency and real-time network adaptability. Additionally, there’s growing interest in
deploying AI alongside radio networks, leveraging the physical network presence to run AI workloads
at the far edge, enabling ultra-low latency interactions with applications across an expanding range of
smart devices, many of which depend on proximity to the network for real-time processing.

The combination of AI-driven design, operations, customer engagement, and edge deployment is
shaping a new era for telecom.

AI-RAN is set to transform networks and unlock new opportunities for carriers
across the ecosystem.

Open source is becoming foundational in telecom. How do you see its role evolving in
enabling interoperability, especially across distributed RAN and core networks?

For Red Hat, this is a very relevant question. At our core, we are an open-source company. Everything
we do is driven by community collaboration and transparency. In telecom, this philosophy aligns
naturally because the industry is fundamentally built on standards, which ensure interoperability
between networks, seamless device connectivity, and overall system compatibility.

Alongside standards, security (and increasingly demanding regulatory requirements in this area) is
fundamental, and that’s where openness plays an even bigger role. It may sound counterintuitive to
some, as opening your code might seem like it exposes potential vulnerabilities, but, in reality, it does
the opposite, allowing a proactive community-driven approach to secure infrastructure.

Open source is increasingly at the heart of every layer of the network, from core infrastructure to the
RAN. Concepts like Open RAN and vendor interoperability highlight its role in driving flexibility and
innovation. At Red Hat, we remain fully committed to this open, community-driven approach.

How important is trust, choice, and consistency within AI-driven, multi-cloud, and edge
environments?

Trust is absolutely fundamental, especially within these environments, because telecom networks are
considered critical national infrastructure, which naturally makes them a target for cyber attacks.
Choice and consistency go hand-in-hand, even if they sound different. Operators need the ability to
select best-of-breed applications and hardware, whether it be different server types, or chipsets
tailored to specific workloads. Telecom networks have always been multi-vendor environments, so the
freedom to choose remains crucial.

But with that diversity, consistency becomes equally important. You want consistent platforms and
infrastructure, with strong lifecycle management, consistent security standards, and control across to
your environment. That’s where Red Hat plays a critical role: ensuring our platforms are tuned for
every part of the telecom network, from core data centers to near-edge, far-edge, and ultra-far-edge
deployments.

Maintaining consistency between applications and infrastructure is something we

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