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Telco Cloud

Telco cloud refers to the cloud-native infrastructure operators use to run network functions as software, rather than on dedicated hardware — spanning private clouds, public-cloud partnerships, and hybrid models. It is the foundation for virtualized cores, cloud-native RAN, automation, and the agility 5G standalone demands. A defining trend is the deepening relationship between operators and hyperscalers, who increasingly host or support network workloads, raising strategic questions about control, cost, and dependency. For operators, telco cloud strategy shapes how flexible, scalable, and cost-efficient their networks can be; for vendors and hyperscalers, it’s a major battleground. This channel covers telco cloud across private, public, and hybrid models — cloud-native network functions, operator-hyperscaler partnerships, and the platforms involved — with analysis of how cloud is reshaping operator architecture, economics, and competitive dynamics.

Virgin Media O2 and Daisy Group Launch UK B2B Telecom Powerhouse

Virgin Media O2 and Daisy Group Launch UK B2B Telecom Powerhouse
 Virgin Media O2 and Daisy Group have joined forces to form a £1.4B B2B telecom and IT services powerhouse, targeting UK enterprises with an integrated offering that includes private 5G, cloud, AI, and cybersecurity solutions. With Virgin Media O2 holding a 70% stake and Daisy 30%, the new entity aims to accelerate enterprise digital transformation, drive operational synergies, and compete against both traditional telcos and cloud-first players in a fast-evolving market.

Microsoft’s Q3 2025 Earnings: Cloud and AI Drive Growth

Microsoft's Q3 2025 Earnings: Cloud and AI Drive Growth
In Q3 2025, Microsoft announced a robust revenue increase to $70.1 billion, driven by its cloud and AI segments. Highlights include a 20% surge in Microsoft Cloud revenue and Azure's 33% growth, reflecting strong market demand for advanced cloud and AI capabilities.

AI in Telecom: Big Promises, But Sometimes Bigger Roadblocks

AI in Telecom: Big Promises, But Sometimes Bigger Roadblocks
AI promises major gains for telecom operators, but most initiatives stall due to outdated, fragmented inventory systems. Discover why unified, service-aware inventory is the missing link for successful AI in telecom—and how operators can build a smarter, impact-ready foundation for automation with VC4's Service2Create (S2C) platform.

How Low-Code Platforms are Changing the Future of Telecom Operations

Low-code platforms like VC4's Service2Create (S2C) are transforming telecom operations by accelerating service delivery, reducing manual tasks, and simplifying integration with legacy systems. Discover how this technology drives digital transformation, improves efficiency, and future-proofs telecom networks.

AI Pulse: Telecom’s New Frontier

AI Pulse: Telecom's New Frontier - TeckNexus Magazine
AI Pulse: Telecom’s Next Frontier is a definitive guide to how AI is reshaping the telecom landscape — strategically, structurally, and commercially. Spanning over 130 pages, this MWC 2025 special edition explores AI’s growing maturity in telecom, offering a comprehensive look at the technologies and trends driving transformation.

Explore strategic AI pillars—from AI Ops and Edge AI to LLMs, AI-as-a-Service, and governance—and learn how telcos are building AI-native architectures and monetization models. Discover insights from 30+ global CxOs, unpacking shifts in leadership thinking around purpose, innovation, and competitive advantage.

The edition also examines connected industries at the intersection of Private 5G, AI, and Satellite—fueling transformation in smart manufacturing, mobility, fintech, ports, sports, and more. From fan engagement to digital finance, from smart cities to the industrial metaverse, this is the roadmap to telecom’s next era—where intelligence is the new infrastructure, and telcos become the enablers of everything connected.

Connected Industries: How Private 5G and AI Are Powering Smart Manufacturing

Connected Industries: How Private 5G and AI Are Powering Smart Manufacturing
The future of manufacturing is intelligent, autonomous, and sustainable. Powered by private 5G networks, AI, and digital twins, smart factories are revolutionizing how goods are produced and maintained. From predictive maintenance to immersive virtual twins and AI-optimized energy systems, smart manufacturing is unlocking new levels of efficiency and innovation across industries—from ports and shipyards to agriculture and healthcare.

Connected Industries: The Future of FinTech and Private Networks in Digital Finance

Connected Industries: The Future of FinTech and Private Networks in Digital Finance
FinTech, private 5G networks, and AI are converging to reshape digital finance across industries. From embedded payments and super apps to AI-driven credit scoring and secure M2M transactions, this $2 trillion opportunity is powered by mobile technology, cloud infrastructure, and regulatory evolution. Leaders must act fast to unlock new revenue, scale inclusion, and secure digital ecosystems.

Telecom’s $300B Problem: Missing Network Observability

Telecom’s $300B Problem: Missing Network Observability
Telecom providers have spent over $300 billion since 2018 on 5G, fiber, and cloud-based infrastructure—but returns are shrinking. The missing link? Network observability. Without real-time visibility, telecoms can’t optimize performance, preempt outages, or respond to security threats effectively. This article explores why observability must become a core priority for both operators and regulators, especially as networks grow more dynamic, virtualized, and AI-driven.

Scaling Open RAN: Real-World Deployments, Challenges & Strategic Insights

Open RAN: A $42M Leap Forward in Wireless Technology Innovation
As Open RAN moves from trials to large-scale adoption, telecom giants like NTT Docomo, AT&T, and TELUS share their real-world deployment strategies. From multivendor interoperability to automation and security, this article explores key operational insights, ecosystem collaborations, and future directions in Open RAN architecture.

How AI Is Transforming Telco-Hyperscaler Partnerships in the Telecom Industry

How AI Is Transforming Telco-Hyperscaler Partnerships in the Telecom Industry
AI is transforming the relationship between telcos and hyperscalers like AWS, Google Cloud, and Microsoft Azure. With AI-driven automation, cloud-native networks, and edge computing, telecom operators are optimizing efficiency, reducing costs, and unlocking new revenue streams. As AI-powered innovations reshape 5G, cybersecurity, and digital services, these strategic partnerships are set to redefine the future of telecom.

MWC Barcelona | 2025

MWC Barcelona | 2025
Start: March 3, 2025
End: March 6, 2025
Venue: Fira Gran Via, Barcelona
Location: Barcelona

Cloud Native Networks are the Future

Cloud Native Networks are the Future
Cloud-native networks are no longer the future—they are the present. Businesses transitioning to cloud-native environments gain agility, faster service deployment, and seamless integration with 5G and AI-driven automation. However, the migration process can be challenging due to legacy infrastructure integration, potential downtime risks, and issues with data visibility. VC4 simplifies this process with a structured, zero-downtime migration strategy, ensuring accurate network inventory and seamless cloud-native adoption. Partner with VC4 to build a telecom network that is ready for the future.

Frequently Asked Questions

What is ‘Telco Cloud,’ and how is it different from regular cloud computing?
Telco Cloud refers to cloud computing infrastructure specifically built or adapted to run telecom network functions, distinguishing it from general-purpose public cloud platforms that businesses across many industries use for ordinary computing needs like web hosting or data storage. The key difference is that telecom network functions often have far stricter requirements around latency, reliability, and real-time performance than typical enterprise cloud workloads, since a delay or failure in a network function can directly disrupt live calls, data sessions, or critical infrastructure services for potentially millions of subscribers simultaneously. Telco Cloud platforms are engineered specifically to meet these more demanding requirements, whether built by traditional telecom vendors, run on a major public cloud provider’s infrastructure, or some hybrid combination of both approaches.
Why are major hyperscalers like AWS, Microsoft, and Google increasingly involved in Telco Cloud?
Major hyperscalers have increasingly built telecom-specific offerings, like Microsoft’s Azure for Operators and Google Cloud’s telecom-focused infrastructure, recognizing that operators represent a substantial, largely untapped customer base for cloud computing services beyond the hyperscalers’ traditional enterprise customer base. For operators, partnering with an established hyperscaler can reduce the cost and complexity of building and maintaining their own data center infrastructure from scratch, while gaining access to the hyperscaler’s broader expertise in cloud computing and AI infrastructure. This represents a notable shift in industry dynamics, since these partnerships position hyperscalers as increasingly important infrastructure partners, a role traditionally filled almost entirely by telecom-specific equipment vendors like Ericsson, Nokia, and Huawei.
What does the shift from ‘cloud-native’ to ‘AI-native’ infrastructure actually mean?
The shift from cloud-native to AI-native describes infrastructure designed from the ground up to run AI workloads efficiently alongside traditional network functions, rather than treating AI as a separate, bolted-on capability running on infrastructure originally designed purely for conventional network functions. This involves incorporating specialized AI-optimized hardware, like GPUs, directly into the telco cloud platform’s design, and building software architectures specifically capable of supporting increasingly autonomous AI agents that can monitor and manage network operations directly. Industry vendors, including Huawei with its TICC and AgenticCore platforms, have specifically marketed offerings around this AI-native framing, positioning it as the next meaningful evolution of telco cloud architecture beyond the original cloud-native virtualization shift.
What challenges do operators face when migrating network functions to Telco Cloud?
Migrating network functions to telco cloud infrastructure presents several recurring challenges. Ensuring virtualized functions actually meet the strict performance and reliability requirements telecom services demand requires careful testing and validation, since a function that performs adequately in a general-purpose cloud environment might not automatically meet the more demanding latency standards telecom-grade services require. Integration across multiple cloud environments and vendors, particularly for operators using a mix of their own infrastructure and one or more hyperscaler partnerships, adds meaningful operational complexity. There’s also a workforce dimension, since network engineering teams historically focused on managing dedicated hardware need different skills to effectively manage cloud-based, software-defined infrastructure.
How does Telco Cloud relate to Open RAN and network slicing?
Telco Cloud provides the underlying computing infrastructure that both Open RAN and network slicing depend on to actually function in practice. Open RAN’s disaggregated, multi-vendor radio network components frequently run as software on telco cloud infrastructure rather than dedicated hardware, meaning a robust telco cloud platform is often a practical prerequisite for a successful Open RAN deployment. Network slicing similarly depends on telco cloud’s flexible, virtualized infrastructure to actually create and manage multiple distinct virtual networks running on shared physical resources, since the dynamic resource allocation slicing requires is fundamentally a cloud computing capability rather than something a fixed, dedicated hardware architecture could practically support at the same level of flexibility.
What’s a concrete example of an AI-native telco cloud platform in deployment today?
Huawei’s TICC, short for Telecom Intelligent Cloud Core, and its accompanying AgenticCore platform represent a concrete example of vendors building infrastructure specifically designed to support autonomous AI agents managing network operations directly, alongside more traditional virtualized network functions, on shared underlying infrastructure. These platforms are designed to support increasingly sophisticated AI capabilities, including agents that can independently monitor network performance, predict and respond to emerging issues, and make operational adjustments with less direct human oversight than earlier generations of network management software required. While still relatively early in broader commercial deployment, these AI-native offerings reflect the direction major telecom equipment vendors are actively pushing their telco cloud product lines toward.
Do operators build their own Telco Cloud infrastructure, or rely entirely on vendors?
It varies considerably by operator and specific use case. Some larger, well-resourced operators build and maintain significant portions of their own telco cloud infrastructure internally, often using open-source software frameworks and components from multiple vendors rather than relying entirely on a single external provider. Others rely more heavily on partnerships with hyperscalers like Microsoft or Google, or with telecom equipment vendors offering pre-packaged telco cloud platforms, particularly for capabilities like AI infrastructure where building genuinely competitive internal capability from scratch would require substantial investment. Many operators ultimately pursue a hybrid approach, maintaining direct control over certain core, mission-critical infrastructure while relying on external partners for less differentiating capabilities.
What role does Red Hat and open-source software play in Telco Cloud?
Red Hat, primarily through its OpenShift platform and broader open-source software portfolio, has become a significant player in telco cloud infrastructure, providing operators and telecom equipment vendors with an open-source foundation for building and running virtualized network functions rather than relying entirely on proprietary, vendor-specific software stacks. This open-source approach appeals to operators partly because it reduces dependency on any single proprietary vendor’s specific technology stack, and partly because it benefits from a broader community of contributors across the technology industry beyond telecom specifically. Several major telecom equipment vendors and operators have built their own telco cloud offerings on top of Red Hat’s open-source foundation, reflecting how significant open-source software has become as an underlying building block for telco cloud infrastructure broadly.
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