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Arm opens Armv9 edge AI via Flexible Access

Arm opens Armv9 edge AI via Flexible Access
Arm has expanded its Flexible Access licensing model to include its Armv9 edge AI platform, lowering the cost and friction for OEMs and startups to develop on-device AI at scale. The platform combines the ultra‑efficient Arm Cortex‑A320 CPU with the Arm Ethos‑U85 NPU, enabling on‑device inference for models with roughly billion‑parameter complexity while maintaining tight power budgets. Security is a first‑class feature set, with architectural protections such as Pointer Authentication, Branch Target Identification, and Memory Tagging to harden critical software at the edge. Availability is staged: Cortex‑A320 will enter Flexible Access in November 2025, followed by Ethos‑U85 in early 2026.

AI to Power India’s 6G Self-Healing Networks

AI to Power India’s 6G Self-Healing Networks
Telecom Secretary Neeraj Mittal underscored that AI will be central to the next generation of networks, not an add-on. The direction aligns with industry momentum: 5G-Advanced is already introducing AI-enabled RAN and core features via 3GPP, while 6G initiatives under the ITU-R IMT-2030 framework envision AI-native control loops, sensing-assisted connectivity, and tight integration of compute and communications. India expects 6G trials to begin around 2028, with commercial deployments to follow. Operators that harden their AI and automation capabilities during 5G-Advanced will enter 6G with a competitive execution advantage.

Verizon to Acquire Starry for Urban FWA Expansion

Verizon to Acquire Starry for Urban FWA Expansion
Verizon has entered a definitive agreement to acquire Starry, a fixed wireless broadband specialist focused on MDUs across Boston, New York, Los Angeles, Denver, and Washington, D.C. Starry brings nearly 100,000 broadband customers and an MDU-centric network architecture built around wideband millimeter-wave and hybrid fiber. Verizon said the move will support its ambition to double fixed wireless subscribers to roughly 8–9 million by 2028 and extend availability to about 90 million households. Starry’s in-market MDU know-how and neutral-host friendly building relationships give Verizon a fast path to scale in cities where it already owns substantial fiber backhaul and large 28/39 GHz mmWave holdings.

India Mobile Congress 2025: Telecom GDP to 20% by 2037

India Mobile Congress 2025: Telecom GDP to 20% by 2037
India Mobile Congress 2025 in New Delhi framed a clear ambition: scale domestic innovation, shape 6G, and turn telecom into a larger engine of GDP growth. Leaders underscored a whole-of-government approach, with multiple ministries backing IMC and the Department of Telecommunications and the Cellular Operators Association of India co-hosting. India’s telecom and digital sector is estimated to contribute roughly 12–14% to GDP today. Leaders at IMC projected this could reach about 20% by the mid-2030s if India scales advanced connectivity, software-led services, and domestic manufacturing. India’s 6G push was tied to a potential GDP uplift exceeding a trillion dollars by 2035.

Triple-zero (000) reliability reforms before bushfire season

Australia telecom overhaul after Optus Triple Zero failure
Australia is moving quickly to shore up the 000 emergency call service ahead of the bushfire season by hauling telco chiefs to Canberra and fast‑tracking reforms. The Australian Communications and Media Authority (ACMA) has opened a compliance investigation, and Optus has appointed Kerry Schott to lead an independent technical review into the failures. The reforms build on proposals flagged after the nationwide Optus outage in November 2023 and signal a shift from after‑the‑fact reporting to proactive assurance for a service that must be available under extreme conditions.

Pentagon CIO backs national spectrum sharing demos

Pentagon CIO backs national spectrum sharing demos
The Department of Defense and the National Spectrum Consortium (NSC) are moving five industry-academia teams into field demonstrations to validate dynamic spectrum coexistence between defense systems and commercial networks. The focus is practical: prove that military radar, weapons systems, and electronic sensors can operate alongside commercial 5G/6G-class networks in the same bands without harmful interference. Experiments are slated to begin as early as November, with results feeding a follow-on study on dynamic spectrum operations mandated by the 2023 National Spectrum Strategy.

HPE AI at Ryder Cup: Blended Connectivity & AIOps

HPE AI at Ryder Cup: Blended Connectivity & AIOps
The Bethpage Black Ryder Cup turned a 1,500‑acre golf course into a pop-up smart city, giving HPE a high-stakes stage to showcase end-to-end AI, networking, and edge operations at scale. Golf is a network planner’s stress test: fans are constantly moving, crowd density swings hole-to-hole, and the venue is built from scratch for a few intense days. More than 250,000 spectators demanded seamless connectivity, broadcast-grade reliability, and instant digital services. This environment forced an enterprise-grade blueprint - fast deployment, elastic capacity, airtight security, and automated operations, mirroring the requirements of modern campuses, arenas, and industrial sites.

Optus Triple Zero failure hits 4,500 in Dapto

Optus Triple Zero failure hits 4,500 in Dapto
A second emergency call disruption in as many weeks has escalated questions about Optus’ operational controls and the resilience of Australia’s emergency communications ecosystem. Optus reported that a fault tied to a mobile tower in Dapto, Wollongong, left around 4,500 users affected between 3:00 a.m. and 12:20 p.m. on Sunday, with nine Triple Zero attempts failing during that window. While the scope was geographically contained, the event compounds a pattern that now includes multiple emergency call failures across two weeks. Repeated emergency call failures undermine public trust and expose systemic weaknesses in how operators design, test, and govern safety-critical services.

Zayo and Equinix Launch an AI Infrastructure Blueprint

Zayo and Equinix launch an AI Infrastructure Blueprint
AI now depends as much on the network and interconnection layer as it does on GPUs, and this blueprint turns that reality into a repeatable design. Training has concentrated in a few massive regions, while inference is exploding at the edge and in enterprise colocation sites, creating a scale challenge the industry hasn’t codified until now. Zayo and Equinix are proposing a common model that aligns high-capacity transport, neutral interconnection hubs, and specialized training and inference data centers. The aim is to shorten time to market for AI services by providing reference designs that reduce trial-and-error across L1–L3, interconnection, and traffic engineering.

Wayve Self-Driving AI Trials in Tokyo with Nissan

Wayve Self-Driving AI Trials in Tokyo with Nissan
Wayve’s end-to-end driving AI is now running in Nissan Ariya electric vehicles in Tokyo, marking a pragmatic step toward consumer deployment in 2027. The test vehicles combine a camera-first approach with radar and a lidar unit for redundancy, aligning with Japan’s dense urban environment and complex traffic patterns. The initial commercial target is “eyes on, hands off” Level 2 driver assistance, with drivers remaining responsible and ready to take over. Nvidia has signed a letter of intent for a potential $500 million investment in Wayve’s next funding round, reinforcing the compute-intensive nature of the program.

Alibaba Cloud integrates Nvidia Physical AI tools

Alibaba Cloud integrates Nvidia Physical AI tools
Alibaba Cloud is integrating Nvidia’s Physical AI toolchain into its Cloud Platform for AI, bringing robotics-grade simulation, training, and deployment capabilities to customers. Alibaba and Nvidia unveiled a partnership that embeds Nvidia’s embodied AI development tools directly into Alibaba’s machine learning platform. The integration targets robotics, autonomous driving, and “connected spaces” such as warehouses and factories. Physical AI refers to software that models the real world in 3D, generates synthetic data, and trains control policies with reinforcement learning before deploying to physical systems. Developers on Alibaba Cloud gain access to toolchains for data processing, simulation-based training, and real-world reinforcement learning.

AI $800B Revenue Gap: Compute, Power, and ROI: Bain Report

AI $800B Revenue Gap: Compute, Power, and ROI: Bain Report
New analysis from Bain & Company puts a stark number on AI’s economics: by 2030 the industry may face an $800 billion annual revenue shortfall against what it needs to fund compute growth. Bain estimates AI providers will require roughly $2 trillion in yearly revenue by 2030 to sustain data center capex, energy, and supply chain costs, yet current monetization trajectories leave a large gap. The report projects global incremental AI compute demand could reach 200 GW by 2030, colliding with grid interconnect queues, multiyear lead times for transformers, and rising energy prices.
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Why Airport AI Deployments Are Outrunning Airport Network Security
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