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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.

AI Data Centers: How Much Renewable Energy?

IEA: $580B will go to data centers, surpassing oil. Can solar, storage, and new microgrids deliver 24/7 carbon-free power for the AI boom?
Renewables are emerging as the default option for new AI campuses, but the share that is truly carbon-free around the clock will hinge on siting, storage, and market design. Annual REC matching is no longer sufficient for leading buyers; the bar is shifting toward hourly, 24/7 carbon-free energy matching initiatives. Yet diurnal and seasonal variability limits how much of a site’s load can be met by solar and batteries alone, especially in non-sunny regions or during prolonged weather events. Expect mixed portfolios: on-site renewables and batteries, off-site PPAs (solar and wind), emerging long-duration storage, and grid purchases backed by hourly certificates where available.

Invisible Infrastructure: Undetected Assets Drain Telecom Revenue

Invisible infrastructure is costing telecom operators more than they realize. Hidden fibers, circuits, and equipment continue using power and budget without generating revenue, all because they slip out of inventory and operational records. This article explains how these blind spots form, why they persist, and how VC4’s Service2Create helps operators regain full visibility so they can cut waste, speed up delivery, and protect revenue.

LG Uplus & AWS agentic AI speeds cloud-native network deployment

LG Uplus & AWS agentic AI speeds cloud-native network deployment
LG Uplus is working with AWS on agentic AI that automates installation of cloud‑native network software, with early claims of up to 80% faster turn‑ups versus manual methods. LG Uplus and AWS partnered to develop an AI-driven approach that installs complex network software stacks without human intervention. The system uses Amazon Bedrock alongside AWS’s Strands-Agents SDK to orchestrate multiple cooperating AI agents. These agents are pre-trained on network design and implementation documents so they can execute the full workflow - provisioning cloud infrastructure, collecting device and network parameters, generating configurations, performing installation, and troubleshooting.

Ensuring Trusted Network Data in Modern Telecom Operations

Ensuring Trusted Network Data in Modern Telecom Operations
Telecom operators face rising costs and risks when network data can’t be trusted. From ghost circuits and delayed service activations to compliance issues and poor investment decisions, the impact is felt across every team. This article looks at why accurate data matters more than ever and how operators can build lasting trust with their network records.

Nokia and Boldyn Launch Private 5G for Smart Mining at Finland’s Callio Site

Nokia and Boldyn Launch Private 5G for Smart Mining at Finland’s Callio Site
Nokia and Boldyn Networks have launched a private 5G network at Callio FutureMINE in Finland, addressing underground mining’s toughest connectivity issues. The network supports autonomous vehicles, real-time visualization, and tele-remote operations, transforming safety, efficiency, and sustainability in mining. This deployment sets a global benchmark for industrial 5G use in extreme environments.

Secret Service Stops SIM‑Farm Telecom Security Threat Near UNGA

Secret Service Stops SIM‑Farm Telecom Security Threat Near UNGA
As the U.N. General Assembly convened, U.S. authorities quietly removed a dense cluster of SIM servers and cards that investigators say could have overloaded mobile networks and disrupted emergency communications across the New York metro area. Investigators seized more than 300 SIM servers and roughly 100,000 SIM cards distributed across multiple sites within 35 miles of the United Nations complex. Mass device farms can generate signaling storms that overwhelm cell sites and the mobile core, similar in effect to a distributed denial-of-service attack.

African AI Data Centres: MTN and Cassava Scale Sovereign Compute

African AI Data Centres: MTN and Cassava Scale Sovereign Compute
African AI Compute Is Moving Local. Telecom operators and digital infrastructure players are racing to stand up AI-grade capacity on the continent as demand, latency, and data-sovereignty pressures converge. MTN Group is negotiating with US and European partners to co-invest in AI-ready facilities and offer capacity to enterprises across multiple African markets. Cassava Technologies is accelerating its sovereign cloud strategy with five AI-focused facilities slated across key African markets in the next 12 months. Earlier this year, Cassava partnered with Nvidia to launch an AI data centre in South Africa powered by the chipmaker’s GPUs, establishing a reference for accelerated infrastructure on the continent.

Small Cells Forecast 2030: 61M Shipments, Neutral Host & 5G SA

LA28 selects T‑Mobile 5G as Official Telecom Provider
The Small Cell Forum’s 2025 Market Forecast points to a market shifting from experimentation to scaled deployment, with enterprise demand and new business models driving a faster cadence. SCF forecasts cumulative small-cell shipments to reach 61 million units by 2030, supporting an installed base of roughly 54.4–54.5 million radio units and annual vendor/integrator revenues of about USD 4.23 billion. Indoor enterprise deployments continue to dominate, representing about 60% of rollouts in 2023–2024. SCF expects 5G SA small cells to grow at a 56% CAGR through 2030, with two-thirds of enterprise small cells co-located with edge compute by 2030.

Lumen RapidRoutes 100G/400G Wavelengths with 20-Day Delivery SLA

Lumen RapidRoutes 100G/400G Wavelengths with 20-Day Delivery SLA
Lumen has introduced Wavelength RapidRoutes, a pre-engineered 100G/400G service with a 20-day delivery SLA aimed at removing months-long bottlenecks from enterprise and hyperscaler connectivity. The company is packaging pre-defined, high-demand optical paths as a catalog of ready-to-deploy waves, removing custom design cycles from many standard routes. Lumen’s RapidRoutes offers 100G and up to 400G wavelength services on prioritized intercity routes with an industry-forward 20-day service delivery SLA, shifting the customer experience from quote-engineer-build to select-provision-activate on pre-engineered paths. A portal-enabled experience with AI-driven tools and more than 300 automated workflows underpins ordering, change management, and capacity scaling.

Maher Terminals Modernizes Port Operations with Nokia Private 4G and Edge

Maher Terminals Modernizes Port Operations with Nokia Private 5G and Edge
Maher Terminals has deployed Nokia’s Private 4G and Edge computing solutions to digitize operations at its 450-acre New Jersey facility. By partnering with Nokia and Future Technologies Venture LLC, the terminal now uses real-time data and rugged industrial devices to streamline cargo handling and enhance network reliability.

Is AI Underperforming in Telecom? Challenges, Use Cases & the Road Ahead

Is AI Underperforming in Telecom? Challenges, Use Cases & the Road Ahead
The telecom sector once hailed AI as a game-changer, but is it delivering? This article explores why many operators report low ROI on AI tools, and how legacy systems, cultural resistance, and regulatory hurdles stall adoption. Despite challenges, AI shows targeted promise in predictive maintenance, fraud detection, and 5G network slicing.

Deutsche Telekom Unveil’s 5G SA based Mobile Cloud Gaming with NVIDIA

Deutsche Telekom Unveil's 5G SA based Mobile Cloud Gaming with NVIDIA
Deutsche Telekom will roll out a free 5G+ Gaming option for eligible Magenta Mobil customers starting autumn 2025, integrating GeForce NOW for on-the-go cloud gaming with consistent responsiveness and stability. The service runs over Telekom's 5G Standalone (SA) network using network slicing and L4S, with initial device support including Samsung's Galaxy S24 Ultra and the S25 series, and more handsets to follow. GeForce NOW brings access to a catalog of 2,300+ supported titles spanning major game stores, with additional install-to-play titles being added, and day passes available (Performance and Ultimate tiers) for short-term access.

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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