Private Network Check Readiness - TeckNexus Solutions

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

Gamescom 2025: Telekom and NVIDIA unveil 5G SA mobile cloud gaming

A new 5G+ Gaming service pairs Deutsche Telekom’s 5G Standalone network with NVIDIA’s GeForce NOW to deliver latency-optimized gameplay on smartphones at a national scale in Germany.

Key details and launch timeline


Deutsche Telekom will roll out a free 5G+ Gaming option for eligible MagentaMobil customers starting in autumn 2025, integrating GeForce NOW for on-the-go cloud gaming with consistent responsiveness and stability. The service operates over Telekom’s 5G Standalone (SA) network, utilizing network slicing and L4S, with initial device support including Samsung’s Galaxy S24 Ultra and the S25 series, with additional handsets to follow. GeForce NOW provides access to a catalog of over 2,300 supported titles spanning major game stores, with additional install-to-play titles being added, and day passes (available for Performance and Ultimate tiers) for short-term access. Telekom positions this as the first latency-optimized mobile cloud gaming service at consumer scale on a 5G SA network in Europe.

How 5G SA, network slicing, and L4S power cloud gaming

The offer leverages two 5G SA capabilities for real-time apps: network slicing and L4S (Low Latency, Low Loss, Scalable Throughput). Slicing carves out a virtual, application-specific slice that isolates gaming traffic and prioritizes short, predictable response times versus best-effort flows. L4S, standardized by the IETF, reduces queueing delays and jitter by using an early congestion signaling method and tuned congestion control, helping stabilize gameplay even when a cell is busy. On the cloud side, NVIDIA plans to upgrade GeForce NOW to Blackwell architecture, enabling higher frame rates, ray-traced graphics, and AI-enhanced upscaling, which can stress networks; the 5G SA + L4S combo is designed to keep rendering and input latency competitive with local consoles under good radio conditions.

Market fit in Germany and 5G readiness

Telekom reports 98% population coverage with 5G and says its 5G+ features are available wherever its 5G footprint exists, providing the reach needed for a national consumer launch. Germany is also a mobile-first gaming market: tens of millions play on smartphones and tablets, making cloud delivery a logical path to premium titles without console ownership or large local downloads. With SA core deployments maturing and L4S becoming commercially viable, the timing aligns for an operator-scale, differentiated experience rather than a generic works on 5G claim.

5G monetization: from bandwidth to application-grade performance

The move reframes 5G from commodity bandwidth to application-grade performance that can support upsell, partner revenue, and stickier bundles.

Upgrading from best-effort to application-grade SLAs

Telecom operators have struggled to translate 5G investments into ARPU growth; application-aware QoS products like this create tangible reasons to upgrade and stay. A gaming slice with L4S translates into lower jitter and tighter response time distributionbenefits that users can feel in competitive titles. Packaging this as a selectable plan option, tied to a recognizable service like GeForce NOW, is a clear step toward value-based pricing and network API monetization models that many operators seek to scale.

Competitive positioning and partner differentiation

Where platforms like Xbox Cloud Gaming or Amazon Luna monetize primarily via content subscriptions, Telekom’s tactic removes a price barrier by offering the network enhancement as a free option for compatible tariffs and devices, while NVIDIA handles the content layer. This plays to each partner’s strengths: Telekom controls radio, core, and QoS; NVIDIA supplies the GPU cloud, content integrations, and client app. If attach rates drive plan upgrades and retention, the model could outperform pure content bundling for operators, especially in markets with dense 5G SA coverage.

KPIs for adoption, performance, and retention

Watch 5G+ Gaming attachment among MagentaMobil users, hours streamed per subscriber, session success rates under mobility, and churn impact. On the network side, monitor slice utilization, L4S adoption across devices and OS versions, and the distribution of gaming traffic across macro and small cells. For NVIDIA, track user growth on Android, Ultimate tier uptake, and performance consistency as Blackwell-based capacity scales.

Execution risks: network, cost, and policy

Delivering a console-like experience over a mobile network at scale introduces technical, economic, and regulatory risks.

Network engineering and cost constraints

Consistent low-latency performance depends on radio conditions, spectrum load, device support for L4S, and edge proximity to NVIDIA ingress points. Backhaul and peering paths can erase radio gains if not engineered end to end. Cloud GPU capacity is capital intensive; streaming high-fidelity sessions at 120 fps increases compute and bandwidth costs. Operators must balance slice sizing, admission control, and fair-use policies to avoid degrading other services while keeping the business case intact.

Content availability, distribution, and policy risks

Game licensing and regional availability ebb and flow, impacting perceived catalog value. App store policies, in-app payments, and potential net-neutrality scrutiny of prioritization features could complicate Go-To-Market in some jurisdictions. Battery drain on handsets, heat, and data consumption also affect user satisfaction; codec choices and adaptive bitrate strategies will need careful tuning for mobile sessions on 5G SA.

Next steps for operators and ecosystem partners

Early movers can turn this blueprint into a broader portfolio of low-latency services that monetize SA cores beyond gaming.

Action plan for telecom operators

Industrialize a playbook: define gaming-grade slice profiles, L4S policies, and admission controls; certify devices for L4S and 5G SA; and co-locate edge on-ramps to major gaming/CDN partners to shorten round-trip paths. Build transparent KPIs into consumer apps (latency, jitter, packet loss) so users can see the value. Explore adjacent use casesinteractive video, XR, and real-time collaboration with similar slice characteristics to amortize SA investments.

Priorities for device OEMs and platform partners

Accelerate L4S support and testing across chipsets and OS versions, optimize thermal and power profiles for sustained cloud gaming, and enable network telemetry APIs so operators can adapt slice behavior per session. Co-market certified gaming-ready on 5G SA devices and consider accessories (controllers, cooling) that lift experience without raising network load.

Guidance for game publishers and cloud providers

Optimize input pipelines and encoder settings for mobile networks using L4S, prioritize fast start and state sync to reduce perceived lag, and align release cadences with GPU capacity planning. Where feasible, participate in operator bundles or day-pass promotions to reduce entry friction and expand reach into mobile-first markets.

Bottom line: template for real-time apps beyond gaming

Deutsche Telekom and NVIDIA are turning 5G SA capabilities, slicing, and L4S into a visible consumer advantage with GeForce NOW, signaling a practical path to 5G monetization and setting a template other operators can adapt for real-time applications beyond gaming.


Recent Content

Edge AI is reshaping broadband customer experience by powering smart routers, proactive troubleshooting, conversational AI, and personalized Wi-Fi management. Learn how leading ISPs like Comcast and Charter use edge computing to boost reliability, security, and customer satisfaction.
The emergence of 6G networks marks a paradigm shift in the way wireless systems are conceived and managed. Unlike its predecessors, 6G will embed Artificial Intelligence (AI) as a native capability across all network layers, enabling real-time adaptability, intelligent orchestration, and autonomous decision-making. This paper explores the symbiosis between AI and 6G, highlighting key applications such as predictive analytics, alarm correlation, and edge-native intelligence. Detailed insights into AI model selection and architecture are provided to bridge the current technical gap. Finally, the cultural and organizational changes required to realize AI-driven 6G networks are discussed. A graphical abstract is suggested to visually summarize the proposed architecture.
Telecom engineers know OSS systems aren’t broken—they just pretend to work. Outdated data, broken integrations, and overwhelming alerts create false confidence and slow operations. Discover how VC4’s Service2Create delivers real-time, trusted inventory and smarter workflows that engineers can actually rely on.
As the telecom world accelerates toward 5G-Advanced and sets its sights on 6G, artificial intelligence (AI) is no longer a peripheral technology — it is becoming the brain of the mobile network. AI-driven Radio Access Networks (RANs), and increasingly AI-native architectures, are reshaping how operators design, optimize, and monetize their networks. From zero-touch automation to intelligent spectrum management and edge AI services, the integration of AI and machine learning (ML) is unlocking both operational efficiencies and new business models.

This article explores the evolution of AI in the RAN, the architectural shifts needed to support it, the critical role of Open RAN, and the most promising AI use cases from the field. For telcos, this is not just a technical upgrade — it is a strategic inflection point.
ZTE and e& UAE have completed a successful Private 5G Network trial, showcasing high uplink speeds, multi-band adaptability, and ZTE’s NodeEngine Edge Computing platform. This trial enables rapid deployment, stronger enterprise connectivity, and practical use cases for smart industries, aligning with the UAE’s goal of becoming a digital innovation leader.
The City of Istres, France, partners with Ericsson, SPIE, and Unitel to deploy a cost-efficient Private 5G Network. This smart city blueprint reduces surveillance camera installation costs by over 80%, improves secure emergency communications, and leverages Edge Computing for AI-ready urban security. Istres sets a precedent for mid-sized European cities modernizing connectivity and resilience.

Currently, no free downloads are available for related categories. Search similar content to download:

  • Reset

It seems we can't find what you're looking for.

Download Magazine

With Subscription

Subscribe To Our Newsletter

Private Network Awards 2025 - TeckNexus
Scroll to Top

Private Network Awards

Recognizing excellence in 5G, LTE, CBRS, and connected industries. Nominate your project and gain industry-wide recognition.
Early Bird Deadline: Sept 5, 2025 | Final Deadline: Sept 30, 2025