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July 2026's roundup: TSMC raises its Arizona commitment to $265 billion, Micron commits more than $250 billion to US DRAM manufacturing through 2035, SK hynix's $26.5 billion Nasdaq listing prices and begins trading, and hyperscaler data center and interconnect infrastructure keeps expanding from Alberta to Google's dark fiber network.
Apple's $30 billion Broadcom chip deal is the largest single commitment under its American Manufacturing Program to date - 15 billion+ US-made chips, a $1.5 billion Fort Collins expansion, and a supply agreement running through 2031. Here's what's actually in the deal and what it signals for wireless and telecom supply chains.
June 2026's roundup: SK Group, GS Group, and Naver unveil a $650 billion, 10-year AI infrastructure megaproject, Google shifts part of its TPU manufacturing from TSMC to Intel, Nvidia diversifies its HBM4 supply chain, and AI data center capacity keeps expanding into new global markets from Indonesia to Paraguay.
May 2026's roundup: the US government's 10% equity stake in Intel (now valued above $50B) underscores how strategic chip manufacturing has become, India and Vietnam both advance new chip fab and testing capacity, the AI chip supply chain keeps fragmenting beyond Nvidia, and Pixxel and Sarvam AI plan India's first orbital data center satellite.
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.
April 2026's roundup: Samsung's Taylor fab comes online with 2nm production for Tesla's AI chips, Intel joins Elon Musk's Terafab project targeting 1 terawatt of annual AI compute, Nokia and NVIDIA position telecom networks as distributed compute platforms, and hyperscalers commit tens of billions more to AI data centers across Asia-Pacific.
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.
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 inaugural roundup: AT&T commits $250B to fiber, 5G, and AI-era infrastructure through 2030, Ericsson and Nokia diverge on AI-RAN strategy at MWC Barcelona, 6G's roadmap firms up around a 2029 target, and satellite direct-to-device edges toward commercial launch.
March 2026's inaugural roundup: NVIDIA's AI factory reference architecture - from 800VDC power to BlueField-4 storage to the Palantir AI OS - becomes the organizing blueprint for data center buildout, as Bell Canada breaks ground on the country's largest AI facility and AI infrastructure extends to the network edge and telecom RAN.
Nvidia’s CEO is publicly reaffirming confidence in OpenAI even as reports suggest the companies may narrow the scope of an ambitious, nonbinding plan announced last fall. During a visit to Taipei, Nvidia CEO Jensen Huang dismissed talk of friction with OpenAI and said Nvidia will participate in OpenAI’s next funding round. Recent reporting suggested Nvidia has emphasized the nonbinding nature of its plan to invest up to $100 billion and build roughly 10 GW of compute for OpenAI, and that both parties are re-examining scope and terms.
CEO Börje Ekholm indicated the company will keep trimming headcount after cutting roughly 5,000 positions over the last year. In Sweden, Ericsson has notified authorities and begun union talks that could affect about 1,600 roles, part of a multi‑year restructuring program. The move follows a 2023 plan to remove around 8,500 jobs worldwide—about 8% of its workforce—with further reductions last year in markets such as Spain and Canada. The rationale remains consistent: reset the cost base, protect profitability, and keep investment firepower for strategic bets amid a slower operator capex cycle.

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