Nvidia

The global wearables market has more than doubled since 2021 and is entering a new cycle driven by AI-enabled, gesture-first devices. After a post-pandemic correction, volumes are stabilizing as value rises, helped by richer sensing, better compute and broader use cases. The next leg of growth centers on “intent-based” interaction—reading minute muscle or motion signals to control devices without touching a screen or speaking a command. The appeal is clear: faster command throughput, fewer errors in noisy environments, and safer operation in motion or sterile settings.
African AI Compute Is Moving Local. Telecom operators and digital infrastructure players are racing to stand up AI-grade capacity on the continent as demand, latency, and data-sovereignty pressures converge. MTN Group is negotiating with US and European partners to co-invest in AI-ready facilities and offer capacity to enterprises across multiple African markets. Cassava Technologies is accelerating its sovereign cloud strategy with five AI-focused facilities slated across key African markets in the next 12 months. Earlier this year, Cassava partnered with Nvidia to launch an AI data centre in South Africa powered by the chipmaker’s GPUs, establishing a reference for accelerated infrastructure on the continent.
Gartner’s latest outlook points to global AI spend hitting roughly $1.5 trillion in 2025 and exceeding $2 trillion in 2026, signaling a multi-year investment cycle that will reshape infrastructure, devices, and networks. This is not a short-lived hype curve; it is a capital plan. Hyperscalers are pouring money into data centers built around AI-optimized servers and accelerators, while device makers push on-device AI into smartphones and PCs at scale. For telecom and enterprise IT leaders, the message is clear: capacity, latency, and data gravity will dictate where value lands. Spending is broad-based. AI services and software are growing fast, but the heavy lift is in hardware and cloud infrastructure.
Tens of billions in new US tech commitments are set to reshape the UK’s data center footprint, power needs, and network design over the next four years. Microsoft plans to deploy $30 billion into UK AI infrastructure, its largest commitment in the country, split between new-build capacity and financing via partners such as Nscale. Alphabet added roughly £5 billion for AI research and infrastructure over two years and opened a new data center campus in Hertfordshire. These moves sit under a broader US-UK “Tech Prosperity Deal” announced during a state visit, spanning AI, quantum, and nuclear cooperation. The overall vector is clear: more compute, closer to UK users, on a faster timeline.
Deutsche Telekom is formalizing a sovereignty-first cloud strategy with the launch of T Cloud and new leadership roles that aim to reduce European dependence on non-EU technology stacks. At Digital X in Cologne, Deutsche Telekom’s enterprise arm T-Systems introduced T Cloud, an independent, multi-cloud offering positioned around “levels of sovereignty.” For telcos, public-sector buyers, and regulated enterprises, the message is clear—data location, jurisdiction, and operational control are now first-class design choices, not afterthoughts. T Cloud is pitched as a seamless partner ecosystem spanning public and private cloud, with services tailored to workload criticality and data classifications.
Cisco’s Secure AI Factory with NVIDIA, now integrated with VAST Data’s InsightEngine, targets the core blocker to agentic AI at scale: getting proprietary data to models quickly, securely, and at enterprise breadth. The new joint solution aims to collapse RAG pipeline delays from minutes to seconds, reduce integration risk with validated reference designs, and keep every interaction within security and compliance controls. By aligning Cisco’s AI PODs, NVIDIA’s AI Data Platform and DPUs, and VAST’s data intelligence layer, the offering provides a turnkey workload data fabric for production-grade AI agents. Cisco AI PODs now ship with VAST InsightEngine using NVIDIA’s AI Data Platform reference design, turning raw enterprise data into AI-ready indices and vectors in near real time.
O2 Telefónica Germany has deployed a Large Telco Model powered by Tech Mahindra and NVIDIA to transform its operations into a service-centric, AI-native system. By integrating telemetry, tickets, and service topology into a unified AI fabric, the model enables automated root-cause analysis, dispatch optimization, and intent-based workflows. This marks a tangible shift toward autonomous network operations, with measurable gains in operational efficiency, SLA compliance, and customer experience.
AstraZeneca, Ericsson, Saab, SEB, and Wallenberg Investments have launched Sferical AI to build and operate a sovereign AI supercomputer that anchors Sweden's next phase of industrial digitization. Sferical AI plans to deploy two NVIDIA DGX Super PODs based on the latest DGX GB300 systems in Linkping. The installation will combine 1,152 tightly interconnected GPUs, designed for fast training and fine-tuning of large, complex models. Sovereign infrastructure addresses data residency, IP protection, and regulatory alignment, while reducing exposure to public cloud capacity swings. For Swedish and European firms navigating GDPR, NIS2, and sector-specific rules like DORA in finance, a trusted, high-performance platform can accelerate AI adoption without compromising compliance.
Nvidia has reportedly paused production activities tied to its H20 data center AI GPUs for China as Beijing intensifies national-security scrutiny, clouding a long-anticipated reentry into the market. Multiple suppliers have been asked to suspend work related to the H20, Nvidia's made-for-China accelerator designed to meet U.S. export rules. The pause arrives shortly after Washington signaled it would grant export licenses for the H20, reversing an earlier halt that triggered unsold inventory write downs at Nvidia. The H20 is Nvidia's linchpin for retaining a foothold in the worlds second-largest AI market; any prolonged disruption has material revenue and ecosystem consequences.
Deutsche Telekom will roll out a free 5G+ Gaming option for eligible Magenta Mobil customers starting autumn 2025, integrating GeForce NOW for on-the-go cloud gaming with consistent responsiveness and stability. The service runs over Telekom's 5G Standalone (SA) network using network slicing and L4S, with initial device support including Samsung's Galaxy S24 Ultra and the S25 series, and more handsets to follow. GeForce NOW brings access to a catalog of 2,300+ supported titles spanning major game stores, with additional install-to-play titles being added, and day passes available (Performance and Ultimate tiers) for short-term access.
SoftBank will invest $2 billion in Intel, taking roughly a 2% stake at $23 per share and becoming one of Intels largest shareholders. It is a financial vote of confidence in a company trying to reestablish process leadership, scale a foundry business, and convince marquee customers to commit to external wafer orders. SoftBank has been assembling an AI supply-chain franchise that spans IP, compute, and infrastructure. It owns Arm, agreed to acquire Arm server CPU designer Ampere Computing, injected massive capital into OpenAI, and aligned with Oracle under the Stargate hyperscale AI initiative backed by the current U.S. administration.
SK Telecom is partnering with VAST Data to power the Petasus AI Cloud, a sovereign GPUaaS built on NVIDIA accelerated computing and Supermicro systems, designed to support both training and inference at scale for government, research, and enterprise users in South Korea. By placing VAST Data's AI Operating System at the heart of Petasus, SKT is unifying data and compute services into a single control plane, turning legacy bare-metal workflows that took days or weeks into virtualized environments that can be provisioned in minutes and operated with carrier-grade resilience.

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