Streaming

Reliance Jio has widened its Google AI bundle from a youth-focused offer to a network-wide benefit, signaling that AI services are becoming core to 5G monetization in India. Jio is extending a complimentary 18‑month subscription to Google’s premium AI plan—marketed around access to Gemini 3—to every Jio customer on an Unlimited 5G plan. The bundle centers on expanded access to Google’s latest Gemini experience, AI‑assisted features in Gmail and Docs, 2 TB of cloud storage across Photos, Drive, and Gmail, video generation powered by Google’s Veo technology, NotebookLM at elevated limits, and developer tooling such as Gemini Code Assist and Gemini CLI.
AT&T has activated EchoStar’s 3.45 GHz spectrum across a massive swath of its macro network, delivering a step-change in speed and capacity that advances its 5G and fixed wireless agenda. AT&T has deployed the 3.45 GHz band on nearly 23,000 cell sites across the contiguous United States, touching more than 5,300 cities. Early field results point to up to 80% faster 5G download speeds in upgraded markets. The same spectrum injection is lifting AT&T’s fixed wireless access (FWA) product, Internet Air, with download speeds up by about 55%. Mid-band spectrum is the engine of 5G performance at scale.
Alphabet will invest €5.5 billion in Germany through 2029 to expand AI-capable cloud infrastructure and office capacity, anchoring new buildouts in the Frankfurt Rhine-Main region. Google will construct a new data center in Dietzenbach, near Frankfurt, and continue scaling its Hanau campus opened in 2023. With Frankfurt’s role as Europe’s interconnection hub—home to DE-CIX—placement in Rhine-Main positions Google to serve latency-sensitive AI, analytics, and financial services workloads. Google Cloud will bring expanded capacity for services such as Vertex AI and Gemini models into its German regions, enabling enterprises to run training, fine-tuning, and inference closer to users and data.
A cascade of offers from OpenAI, Google, and Perplexity—amplified by Airtel and Reliance Jio—signals a deliberate push to convert India’s scale into durable AI usage, data, and future revenue. With more than 900 million internet users, rock-bottom mobile data prices, and a young, mobile-first population, India offers the world’s deepest top-of-funnel for AI adoption. Giving away premium access—such as a year of ChatGPT’s low-cost “Go” tier, Jio’s bundling of Gemini, or Airtel’s tie-up with Perplexity Pro—maximizes trial, habituation, and data collection across diverse languages and contexts. Even a low single-digit conversion rate translates into millions of subscribers, while non-converters still contribute valuable signals that improve models.
BT Group and its consumer brand EE plan to offer a Starlink-powered home broadband product focused on underserved locations where fixed-line build is constrained by terrain, sparsity, or cost. The service targets “ultrafast” downlink performance, with Starlink capable of delivering up to roughly 280 Mbps and latency in the low tens of milliseconds. Commercial availability is slated for the second half of 2026, giving BT time to industrialise ordering, installation, support, and integration into its existing product catalogue and systems. LEO fills the last 1–5% gap where full fibre is slow or uneconomic to reach.
CrowdStrike and NVIDIA are aligning open models, edge inference, and agentic tooling to push real-time, autonomous cyber defense into data centers, clouds, and MEC sites where telecom and enterprise workloads actually live. By pairing CrowdStrike’s Charlotte AI AgentWorks with NVIDIA’s Nemotron open models, NeMo Data Designer, NeMo Agent Toolkit, and NIM microservices, the partners aim to shrink detection-to-response windows from minutes to milliseconds, and to do so where latency is lowest—at the edge. The companies expanded their collaboration to deliver always-on, continuously learning AI agents that defend cloud, data center, and edge environments using open and enterprise-grade NVIDIA AI components integrated with CrowdStrike’s Agentic Security Platform.
India has ceded the lowest-tariff crown to Bangladesh and Egypt, yet it still leads on value through generous allowances and low data unit costs. Indian base plans commonly include unlimited voice, whereas Bangladesh and Egypt restrict voice to roughly 100 and 70 minutes respectively at entry level. On data, incremental purchase economics are unusually attractive: an extra Rs 100 typically buys around 26 GB, or about Rs 4 per GB, keeping India among the most affordable data markets globally. Even after adjusting for purchasing power parity, India remains at the affordable end of global tariff rankings.
The partnership targets two fronts: mission-critical rail communications for operations and high-speed broadband for passengers. The scope includes deploying advanced 5G infrastructure, testing FRMCS-based use cases, and running a real-world trial on an existing SAR line to validate performance, integration, and safety requirements. An innovation and test lab will be established to accelerate solution validation, and SAR teams will be trained on FRMCS/5G rail technologies to build in-house capability. The partners will explore 5G Standalone capabilities for operational communications, including quality-of-service guarantees, redundancy, and resilience needed for rail. FRMCS-aligned services such as mission-critical push-to-talk/data/video (MCX), Railway Emergency Call, and secure staff communications will be validated for integration with signaling and control systems.
Ericsson, Nokia, and Fraunhofer HHI jointly demonstrated a proof‑of‑concept codec that delivers meaningfully higher compression than today’s widely deployed standards—H.264/AVC, H.265/HEVC, and H.266/VVC—without a notable rise in complexity. The partners emphasize energy efficiency and scalability, which are critical for battery‑powered devices, edge compute, and large streaming workloads. Their submission was positively received by the ITU‑T Video Coding Experts Group and ISO/IEC MPEG, the bodies that jointly steward the H.26x/MPEG lineage. The work is positioned as an on‑ramp to the next standardization phase, targeting readiness to support commercial deployment around 2029–2030, in step with 6G timelines.
A new partnership between Palantir and Lumen Technologies signals a shift from internal AI pilots to packaged enterprise services delivered over a telecom-grade edge and network footprint. Palantir will provide its Foundry and Artificial Intelligence Platform (AIP) as the data and decisioning layer for Lumen’s enterprise AI offerings, which Lumen plans to deliver on top of its edge computing nodes, broadband infrastructure, and managed digital services. The companies position this as a multi-year, strategic collaboration focused on operational AI use cases, not just experimentation. While exact terms were not disclosed, multiple reports indicate Lumen’s total spend could exceed $200 million over several years.
The G4 family is built on NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs and targets high-throughput inference, visual computing, and simulation. Each VM can be configured with 1, 2, 4, or 8 GPUs, delivering up to 768 GB of GDDR7 memory in total. Fifth-generation Tensor Cores introduce FP4 precision to drive efficient multimodal and LLM inference, while fourth-generation RT Cores double real-time ray-tracing performance over the prior generation for photorealistic rendering. Google cites up to 9x throughput over G2 instances, positioning G4 as a universal GPU platform spanning AI inference, content creation, CAD/CAE acceleration, and robotics simulation.
Industry capex remained exceptionally strong in 2024, underscoring broadband’s status as critical infrastructure for the digital and AI economy. Broadband providers invested an estimated $89.6 billion in U.S. communications infrastructure last year, pushing cumulative investment since 1996 to more than $2.2 trillion and keeping the 2020–2024 average above $90 billion annually. Spend concentrated on fiber deepening, rural reach, wireless capacity, and overall network scale for AI, cloud, and streaming workloads. While 2024 trailed 2023’s higher tally, it still signals a sustained, competitive race to modernize fixed and mobile networks.
Sponsored by Palo Alto Networks
⚡ Utilities ⏱ 8 min ✓ Free
This tool is built and hosted by TeckNexus.
Launch Tool →
Whitepaper
Airports are deploying AI surveillance, biometrics, and autonomous vehicles faster than most networks can secure them. See what 100 real-world airport deployments reveal about the airside/landside security gap — and the 4-layer framework built to close it....
Palo Alto Networks
Scroll to Top