Nvidia

France’s AION Consortium Bids for EU AI Gigafactory

France's AION Consortium Bids for EU AI Gigafactory
Eight French organisations — including Capgemini, Orange, EDF, Iliad and Scaleway — have formally united under the AION consortium to bid for an EU AI Gigafactory designation, backed by approximately €10 billion in committed investment. The bid targets EuroHPC's live call for proposals, closing June 23, 2026, and is designed to demonstrate France's ability to anchor the full AI value chain. For telecom and enterprise IT leaders, AION signals a structural repositioning of European operators as sovereign AI infrastructure enablers, not merely connectivity providers.

AI Optical Networking Market to Hit $154B by 2028

AI Optical Networking Market to Hit $154B by 2028
Runaway AI training demand is pushing data center fabrics past their limits, making optical networking the bottleneck to unlock GPU-scale performance and efficiency. Scale-up connects more GPUs within a box or across tightly coupled racks to form supernodes with ultra-low-latency fabrics. A new forecast from Goldman Sachs positions optical networking as the next mega-trend in AI infrastructure, with spend growing an order of magnitude as clusters densify. CPO—integrating optical engines with switch ASICs or accelerators—features prominently in the growth outlook. Expect a technology mix that also includes pluggable 800G/1.6T optics and emerging Linear Pluggable Optics (LPO) to reduce DSP power at short reaches.

Alibaba AI Chip: China’s Semiconductor Roadmap Through 2028

Alibaba AI Chip: China's Semiconductor Roadmap Through 2028
Alibaba's Zhenwu M890 AI accelerator, developed by chip unit T-Head, delivers approximately three times the performance of its predecessor and features 144GB of on-chip memory purpose-built for agentic AI workloads. Backed by a $53 billion infrastructure commitment and a published roadmap extending to the J900 chip in 2028, Alibaba is building sovereign AI infrastructure from silicon to software. With over 560,000 chips shipped to 400-plus customers across 20 industries, this is a commercially validated platform — not a prototype — signaling a maturing Chinese AI hardware ecosystem.

T-Mobile & Ericsson AI-RAN: 5G Advanced Efficiency Gains Explained

T-Mobile & Ericsson AI-RAN: 5G Advanced Efficiency Gains Explained
T-Mobile and Ericsson are delivering measurable AI-native RAN results at commercial scale on a live 5G Advanced network. Ericsson's AI-native Scheduler with Link Adaptation replaces rule-based logic with a neural network that predicts RF conditions in real time, achieving close to 10 percent spectral efficiency improvement and up to 15 percent downlink throughput gains. Separately, Ericsson validated its Cloud RAN software running on NVIDIA AI infrastructure, enabling hardware-agnostic deployment. Together, these advances signal that AI-native networking is no longer theoretical — it is executing at national scale.

NVIDIA and IREN Partner to Deploy 5 GW of AI Infrastructure

NVIDIA and IREN Partner to Deploy 5 GW of AI Infrastructure
The NVIDIA-IREN partnership, announced May 7, 2026, commits both companies to jointly deploying up to 5 gigawatts of NVIDIA DSX-aligned AI factory infrastructure across IREN's global data center pipeline. A five-year, $3.4 billion managed GPU cloud services contract anchors the deal, alongside a warrant granting NVIDIA rights to purchase up to 30 million IREN shares. The Sweetwater campus in Texas serves as the reference implementation for NVIDIA's DSX architecture, signaling a new phase of vertically integrated, gigawatt-scale AI infrastructure planning that is reshaping competitive dynamics across hyperscalers, telecom operators, and enterprise IT.

Intel and Google Advance AI Infrastructure with Xeon 6, IPUs

Intel and Google Advance AI Infrastructure with Xeon 6, IPUs
Intel and Google expanded a multiyear partnership that doubles down on Xeon CPUs and custom infrastructure processing units to scale AI with better efficiency and predictability. Google committed to multiple generations of Intel Xeon for AI, inference, and general-purpose workloads across its global cloud. The latest Xeon 6 processors are already powering Google Cloud’s workload-optimized instances, including C4 and N4, to coordinate large-scale training, serve latency-sensitive inference, and run mainstream compute. In parallel, the companies will broaden co-development of custom ASIC-based IPUs that offload networking, storage, and security from host CPUs to improve utilization and deliver more stable performance at hyperscale.

Nokia and InfiniG partner for Indoor Mobile Coverage

Nokia and InfiniG partner for Indoor Mobile Coverage
Enterprises need indoor mobile coverage that works like the macro, integrates with private wireless, and sets a path to 5G and AI without ripping-and-replacing infrastructure. InfiniG’s Neutral Host as a Service turns a CBRS shared-spectrum deployment into an extension of public mobile networks using a 3GPP MOCN architecture. Employees, contractors, and visitors get native service from AT&T, T-Mobile, and Verizon on their existing SIMs—no apps, no plan changes. The Nokia RAN is 5G-ready out of the box, protecting investments as operators certify 5G Standalone and VoNR on neutral host. Radios and gateways are software-upgradable, so enterprises can deploy today for LTE and move to 5G without swapping hardware.

SK Telecom, Arm and Rebellions Launch Sovereign AI Inference Platform

SK Telecom, Arm and Rebellions Launch Sovereign AI Inference Platform
A new alliance between SK Telecom (SKT), Arm, and Rebellions targets the fast-growing AI inference market with a server platform designed for sovereign AI and telecom-grade data centers. SKT will validate a new AI server that combines Arm’s AGI CPU—its first Arm-designed data center processor, based on Neoverse CSS V3—with Rebellions’ RebelCard inference accelerator in live AI data center environments. The partners will co-develop the full software stack, from firmware up, and test telco-specific models and large-scale workloads, including SKT’s proprietary foundation model, A.X K1. Industry focus is shifting from training to inference at scale, where energy, latency, and total cost of ownership (TCO) are decisive.

AT&T, Cisco and NVIDIA Deliver Network-Driven Edge AI

AT&T, Cisco and NVIDIA Deliver Network-Driven Edge AI
AT&T’s new collaboration with Cisco and NVIDIA signals a decisive shift from cloud-centric AI to network-driven edge intelligence for enterprise operations. Enterprises want real-time decisioning without shipping sensitive data to distant clouds, and operators need a scalable way to deliver it. By combining AT&T’s dedicated IoT core with Cisco’s mobility services platform and NVIDIA-powered AI infrastructure, the trio is packaging deterministic connectivity, near-device inference, and policy enforcement into a single, operator-grade platform. The promise: lower latency, tighter data control, and a path to production for AI at industrial scale.

MWC 2026 Highlights: 50 Key Announcements Across AI Networks, Private 5G, Devices, and the Road to 6G

MWC 2026 Highlights: 50 Key Announcements Across AI Networks, Private 5G, Devices, and the Road to 6G
Mobile World Congress 2026 showcased major developments across AI-native networks, enterprise private 5G, device innovation, and early 6G research. This recap highlights 50 key announcements and trends shaping the future of global connectivity.

TELUS Digital AI in Telecom: Scaled 20+ GenAI use cases on Fuel iX

TELUS Digital AI in Telecom: Scaled 20+ GenAI use cases on Fuel iX
TELUS Digital is using Mobile World Congress 2026 to move the AI-in-telecom conversation from pilots to proven production at scale. TELUS Digital reports processing more than two trillion tokens in 2025 through its Fuel iX generative AI platform for TELUS operations and customers. The portfolio spans AI for customer experience, application safety, and network modernization—built and battle-tested within TELUS before client rollout. The Network Design Services practice applies AI to planning and optimization while charting a path from legacy network stacks to cloud-native, automated environments.

India AI infrastructure investment: $200B bid by 2028

India AI infrastructure investment: $200B bid by 2028
India is moving to anchor a larger slice of global AI compute by pairing policy incentives with large-scale private capital and renewable power. New Delhi has outlined plans to attract more than $200 billion for AI infrastructure over the next two years, positioning the country as a production base for compute, data, and advanced applications rather than a pure consumer market. The policy stack aims to reduce friction for export-oriented AI services while widening access to shared compute for startups and enterprises. Adani Group plans to invest $100 billion through 2035 to build renewable-powered, AI-optimized data centers across India.

Your Brand. Our Intelligence Tools.

Capture leads at the point of evaluation. Talk to Us →

Sponsored by Palo Alto Networks
⚡ Utilities ⏱ 8 min ✓ Free
This tool is built and hosted by TeckNexus.
Launch Tool →

Sponsored Content

How Secure AI-Enabled Private Mobile Networks Transform Utility Operations
How Secure AI-Enabled Private Mobile Networks Transform Utility Operations
Whitepaper
This whitepaper explains how utilities can use secure AI-enabled private mobile networks to modernize operations, support distributed intelligence, improve resilience, and strengthen cybersecurity across critical infrastructure. It covers AI applications, private network advantages, zero trust principles, multilayered security architecture, and governance considerations for AI-ready utility environments....
The Evolution of Non-Terrestrial Networks (NTN)
Whitepaper
Non-terrestrial networks are rapidly evolving from experimental satellite systems into an increasingly important part of the global 5G connectivity landscape. This eBook, developed by Radisys in collaboration with TeckNexus, explores how 3GPP standardization, satellite architecture innovation, and software-driven network design are reshaping NTN deployment models. It examines the transition from...
Private 5G Network Security: 4 Pillars for Securing Private 5G, LTE & CBRS
Private 5G Network Security: 4 Pillars for Securing Private 5G, LTE & CBRS
Whitepaper
Private cellular networks are transforming industrial operations, but securing private 5G, LTE, and CBRS infrastructure requires more than legacy IT/OT tools. This whitepaper by TeckNexus and sponsored by OneLayer outlines a 4-pillar framework to protect critical systems, offering clear guidance for evaluating security vendors, deploying zero trust, and integrating IT,...

Explore Magazines ->

Private Network Innovation and Ecosystem Solutions

Private Network Innovation and Ecosystem Solutions

Private Networks Across the Industry Verticals

Private Networks Across the Enterprise Verticals

Private Networks for Energy and Utilities

Private Networks for the Energy and Utilities Sector

Private Network for Airports, Ports & Automotive

Private Network for Airports, Ports & Automotive

Showing Slide 1 of 5
Scroll to Top

Is Your Utility’s Private Network Secure?

Map your security gaps to real threat scenarios – including Salt Typhoon, Volt Typhoon, AI data poisoning, rogue devices, and unencrypted OT traffic.

Private Network Security for Utilities - Tool
Take the Free Assessment

Take the free 8-minute assessment built for utility operators evaluating AI-enabled private mobile networks. Get a readiness score across five critical domains, see where your gaps are, and receive a prioritized action plan for what to fix first.

Free • 8 minutes • Built for private network security