Nvidia

Amazon Web Services plans a sweeping expansion of classified and government cloud capacity to accelerate AI and highโ€‘performance computing for U.S. agencies. AWS will invest up to $50 billion starting in 2026 to deliver purposeโ€‘built AI and HPC infrastructure for federal customers. The buildout spans AWS Top Secret, AWS Secret,
Nvidiaโ€™s CEO has warned that U.S. export controls have effectively halted the companyโ€™s China business, sharpening the stakes for AI leadership, supply chains, and enterprise buyers. He indicated the company is modeling China sales at effectively zero for the next two quarters under current rules, acknowledging that the revenue loss
Deutsche Telekomโ€™s T-Systems has secured a multi-million-euro contract from Leibniz University Hannover to power SOOFI, a flagship initiative to build a 100-billion-parameter, European-operated large language model. The SOOFI (Sovereign Open Source Foundation Models) project will train a next-generation, open-source LLM focused on European languages and industrial requirements, replacing the current
Nvidiaโ€™s latest quarter signals that AI infrastructure spending is not cooling and is, in fact, broadening across clouds, sovereigns, and enterprises. Nvidia delivered $57 billion in revenue for the quarter, up more than 60% year over year, with GAAP net income reaching $32 billion; the data center segment accounted for
Nokia is restructuring to monetize the AI supercycle across fixed and mobile networks while tightening focus on profitable growth. The companyโ€™s new strategy concentrates on: accelerating in AI and cloud; leading the next era of mobile with AI-native networks and 6G; co-innovating with customers and partners; concentrating capital where it
Group revenue reached about โ‚ฌ28.9 billion, up 3.3% on an organic basis, with service revenue and adjusted EBITDA AL growing despite currency pressure from a weaker U.S. dollar; adjusted EBITDA AL was roughly โ‚ฌ11.1 billion on an organic basis, and full-year 2025 EBITDA AL guidance rose to around โ‚ฌ45.3 billion
SoftBank has exited Nvidia and is redirecting billions into AI platforms and infrastructure, signaling where it believes the next phase of value will concentrate. SoftBank sold its remaining 32.1 million Nvidia shares in October for approximately $5.83 billion, and also disclosed a separate $9.17 billion sale of T-Mobile US shares
Anthropic will spend $50 billion on U.S.-based AI data centers, signaling a rapid new phase for domestic compute capacity with direct consequences for power, fiber, and cloud interconnects. Anthropic plans a multi-year, $50 billion program to develop custom data center campuses in the United States, beginning with Texas and New
Google has unveiled nextโ€‘generation TPU accelerators with up to a 4x performance boost and secured a multiyear Anthropic commitment reportedly worth billions, signaling a new phase in AI infrastructure competition. Google introduced new Tensor Processing Units that deliver roughly four times the performance of prior generations for training and inference
Octoberโ€™s job-cut announcements surged, with AI and cost control reshaping staffing plans across technology and adjacent sectors. Planned layoffs spiked to roughly 153,000 in October, up more than 180% from September and about 175% from a year ago, according to the latest Challenger job-cuts tally. Year-to-date announcements for 2025 have
OpenAI has signed a multiโ€‘year, $38 billion capacity agreement with Amazon Web Services (AWS) to run and scale its core AI workloads on NVIDIAโ€‘based infrastructure, signaling a decisive shift toward a multiโ€‘cloud strategy and intensifying the hyperscaler battle for frontier AI. The agreement makes OpenAI a direct AWS customer for
At SK AI Summit 2025, CEO Jung Jaihun outlined plans to expand the Ulsan artificial intelligence data center (AIDC) to 1GW-class capacity, stand up a nationwide trio of hubs (Gasan in the Seoul metro, Ulsan in the south, and a new southwest site), and take the model into Southeast Asia

TeckNexus Newsletters

I acknowledge and agree to receive TeckNexus communications in line with the T&C and privacy policy.ย 

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,...
Whitepaper
Telecom networks are facing unprecedented complexity with 5G, IoT, and cloud services. Traditional service assurance methods are becoming obsolete, making AI-driven, real-time analytics essential for competitive advantage. This independent industry whitepaper explores how DPUs, GPUs, and Generative AI (GenAI) are enabling predictive automation, reducing operational costs, and improving service quality....
Whitepaper
Explore how Generative AI is transforming telecom infrastructure by solving critical industry challenges like massive data management, network optimization, and personalized customer experiences. This whitepaper offers in-depth insights into AI and Gen AI's role in boosting operational efficiency while ensuring security and regulatory compliance. Telecom operators can harness these AI-driven...
Supermicro and Nvidia Logo
Scroll to Top

Private Network Security

4 Pillars for Securing Private 5G, LTE and CBRS Cellular Networks