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Fujitsu and NVIDIA expand full-stack AI infrastructure

Fujitsu and NVIDIA expand full-stack AI infrastructure
Fujitsu is expanding its strategic collaboration with NVIDIA to deliver a full-stack AI infrastructure that pairs domain-specific AI agents with high-performance compute for enterprise and industrial use. The companies will co-develop an AI agent platform and a next-generation computing stack that tightly couples Fujitsu’s FUJITSU-MONAKA CPU series with NVIDIA GPUs using NVIDIA NVLink-Fusion. On the software side, Fujitsu plans to integrate its Kozuchi platform and AI workload orchestrator (built with Fujitsu AI computing broker technology) with the NVIDIA Dynamo platform.

AI Leaders Double Revenue and Cut Costs 40%

AI Leaders Double Revenue and Cut Costs 40%
The AI value gap is widening—and it’s now a strategy problem, not a tooling problem. Fresh research shows a small cohort of “future-built” companies converting AI into material P&L impact while most firms lag despite sizable spend. BCG’s 2025 assessment of 1,250 senior executives finds only 5% of companies have the capabilities to consistently generate outsized AI value, with 35% scaling and beginning to see benefits, and a full 60% reporting little to no financial impact to date.

OpenAI Sora 2 AI Video Feed App

OpenAI Sora 2 AI Video Feed App
OpenAI is reportedly preparing a standalone app for its next-gen video model, positioning AI-only short video as a consumer format in its own right. The app reportedly delivers a vertical feed with swipe navigation, reactions, and remixing familiar mechanics that lower friction for discovery and creation. Every clip is generated by Sora 2 rather than uploaded, with current limits around 10 seconds per video. A recommendation engine powers a personalized “For You” experience, aligning with how short-form attention is won and retained today. A notable feature is identity verification tied to likeness usage. Expect provenance signals and watermarking frameworks (for example, C2PA-style manifests) to become table stakes for platforms that remix human likeness at scale.

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.

OpenAI agentic AI shopping challenges Google and Amazon

OpenAI agentic AI shopping challenges Google and Amazon
ChatGPT users in the U.S. can now buy from Etsy sellers without leaving the conversation, with more than a million Shopify merchants “coming soon.” The feature, called Instant Checkout, is available to logged-in Free, Plus, and Pro users. It supports Apple Pay, Google Pay, Stripe, and credit cards. The flow is simple: ask for ideas, get curated products with images, prices, and reviews, tap Buy, confirm shipping and payment, and the merchant fulfills the order using its existing systems. Brands like Glossier, Skims, Spanx, and Vuori are expected to be part of the broader Shopify rollout.

South Korea Sovereign AI Strategy

South Korea Sovereign AI Strategy
South Korea is funding a national AI stack to reduce dependence on foreign models, protect data, and tune AI to its language and industries. The government has committed ₩530 billion (about $390 million) to five companies building large-scale foundation models: LG AI Research, SK Telecom, Naver Cloud, NC AI, and Upstage. Progress will be reviewed every six months, with underperformers cut and resources concentrated on the strongest until two leaders remain. The policy goal is clear: build world-class, Korean-first AI capability that supports national security, economic competitiveness, and data sovereignty. For telecoms and enterprise IT, this is a shift from “consume global models” to “operate domestic AI platforms” integrated with local data, compliance, and services.

India Joins Telecom Equipment Manufacturing Elite with Indigenous 4G

India Joins Telecom Equipment Manufacturing Elite with Indigenous 4G
India’s nationwide launch of BSNL’s “Swadeshi” 4G stack moves the country from a services-first model to domestic production of core telecom equipment at national scale. India formally launched an indigenous 4G stack for state-run BSNL, alongside more than 97,500 towers announced from Jharsuguda, Odisha. Officials highlighted early reach metrics, noting that roughly 92,000 sites are active and connecting an estimated 22 million users. Telecom equipment sovereignty has become a board-level issue as operators de-risk supply chains, comply with trusted source mandates, and balance costs amid rising traffic and spectrum refarming needs.

Moda Center 5G DAS Upgrade by American Tower

Moda Center 5G DAS Upgrade by American Tower
Large arenas now live or die on mobile performance: digital ticketing, cashless concessions, in-seat ordering, real-time replays, and social sharing all hinge on dense, resilient RF. With nearly 20,000 seats and a heavy calendar of sports and concerts, the Moda Center joins a cohort of tier-one venues investing in 5G as core infrastructure rather than a nice-to-have. American Tower’s role as a neutral host is noteworthy; it positions the venue to support multiple operators on a shared platform, spreading cost, accelerating carrier onboarding, and improving consistency across the “Rose Quarter,” including the adjacent Veterans’ Memorial Coliseum.

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.

Why 95% of GenAI Pilots Fail to Scale Across Industries, Including Telecom

Is AI Underperforming in Telecom? Challenges, Use Cases & the Road Ahead
AI is everywhere in telecom, yet most pilots never make it into production because the industry’s data, tooling, and operating models are not ready for scaled automation. Recent industry research suggests that about 95% of AI pilots in telecom fail to scale beyond proofs of concept. Leaders are moving from pilots to platforms by embedding AI in the systems that run the business and anchoring every initiative to measurable outcomes. Telecom AI will not scale through pilots alone; it scales when embedded in the systems that run revenue, experience, and networks.

Underground AI Data Centers: Bunkers, Mines, Mountains

Underground AI Data Centers: Bunkers, Mines, Mountains
Two narratives are converging: Silicon Valley’s rush to add gigawatts of AI capacity and a quiet revival of bunkers, mines, and mountains as ultra-resilient data hubs. Recent headlines point to unprecedented AI infrastructure spending tied to OpenAI. The draw is physical security, thermal stability, data sovereignty, and a narrative of longevity in an era where outages and cyber‑physical risks are rising. Geopolitics, regulation, and escalating outage impact are reshaping site selection and architectural choices. The AI build‑out collides with grid interconnection queues, water scarcity, and rising scrutiny of carbon and noise. Set hard thresholds on PUE and WUE; require real‑time telemetry and third‑party assurance.

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.
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