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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 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.
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 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.
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.
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.
March 2026's roundup: GSMA, Google Cloud, Huawei, and AWS all converge on an "agentic telco" framing at MWC Barcelona, SoftBank and SK Telecom build proprietary telecom-specific AI models and infrastructure, and physical AI reaches airports, drones, and network edge sites — with AI-RAN and connectivity infrastructure covered separately in our companion Advanced Connectivity Insights, March 2026.

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