Critical infrastructure Archives | Page 79 of 164

NVIDIA and OpenAI partner to build 10 gigawatts of AI data centres

OpenAI and NVIDIA have announced a strategic partnership to build at least 10 gigawatts of AI data centres powered by millions of NVIDIA GPUs.

A deal, supported by the investment of up to $100 billion from NVIDIA, that aims to provide the infrastructure for OpenAI’s next generation of models, with the first phase scheduled for late 2026 on the NVIDIA Vera Rubin platform.

The companies said the collaboration will enable the development of AGI and accelerate AI adoption worldwide. OpenAI will treat NVIDIA as its preferred strategic compute and networking partner, coordinating both sides’ hardware and software roadmaps.

They will also continue working with Microsoft, Oracle, SoftBank and other partners to build advanced AI infrastructure.

OpenAI has grown to more than 700 million weekly users across businesses and developers globally. Executives at both firms described the new partnership as the next leap in AI computing power, one intended to fuel innovation at scale instead of incremental improvements.

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Google DeepMind updates AI safety framework for advanced risks

A leading AI developer has released the third iteration of its Frontier Safety Framework (FSF), aiming to identify and mitigate severe risks from advanced AI models. The update expands risk domains and refines the process for assessing potential threats.

Key changes include the introduction of a Critical Capability Level (CCL) focused on harmful manipulation. The update targets AI models with the potential to systematically influence beliefs and behaviours in high-stakes contexts, ensuring safety measures keep pace with growing model capabilities.

The framework also enhances protocols for misalignment risks, addressing scenarios where AI could override operators’ control or shutdown attempts. Safety case reviews are now conducted before external launches and large-scale internal deployments reach critical thresholds.

The updated FSF sharpens risk assessments and applies safety and security mitigations in proportion to threat severity. It reflects a commitment to evidence-based AI governance, expert collaboration, and ensuring AI benefits humanity while minimising risks.

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Jaguar shutdown extended as ministers meet suppliers

Jaguar Land Rover (JLR) has confirmed its factories will remain closed until at least 1 October, extending a shutdown triggered by a cyber-attack in late August.

Business Secretary Peter Kyle and Industry Minister Chris McDonald are meeting JLR and its suppliers, as fears mount that small firms in the supply chain could collapse without the support of the August cyberattack.

The disruption, estimated to cost JLR £50m per week, affects UK plants in Solihull, Halewood and Wolverhampton. About 30,000 people work directly for JLR, with a further 100,000 in its supply chain.

Unions say some supplier staff have been laid off with little or no pay, forcing them to seek Universal Credit. Unite has called for a furlough-style scheme, while MPs have pressed the government to consider emergency loans.

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Europe prepares formal call for AI Gigafactory projects

The European Commission is collaborating with the EU capitals to narrow the list of proposals for large AI training hubs, known as AI Gigafactories. The €20 billion plan will be funded by the Commission (17%), the EU countries (17%), and industry (66%) to boost computing capacity for European developers.

The first call drew 76 proposals from 16 countries, far exceeding the initially planned four or five facilities. Most submissions must be merged or dropped, with Poland already seeking a joint bid with the Baltic states as talks continue.

Some EU members will inevitably lose out, with Ursula von der Leyen, the President of the European Commission, hinting that priority could be given to countries already hosting AI Factories. That could benefit Finland, whose Lumi supercomputer is part of a Nokia-led bid to scale up into a Gigafactory.

The plan has raised concerns that Europe’s efforts come too late, as US tech giants invest heavily in larger AI hubs. Still, Brussels hopes its initiative will allow EU developers to compete globally while maintaining control over critical AI infrastructure.

A formal call for proposals is expected by the end of the year, once the legal framework is finalised. Selection criteria and funding conditions will be set to launch construction as early as 2026.

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BlackRock backs South Korea push to become Asia AI hub

South Korea has secured a significant partnership with BlackRock to accelerate its ambition of becoming Asia’s leading AI hub. The agreement will see the global asset manager join the Ministry of Science and ICT in developing hyperscale AI data centres.

A deal that followed a meeting between President Lee Jae Myung and BlackRock chair Larry Fink, who pledged to attract large-scale international investment into the country’s AI infrastructure.

Although no figures were disclosed, the partnership is expected to focus on meeting rising demand from domestic users and the wider Asia-Pacific region, with renewable energy powering the facilities.

The move comes as Seoul increases national funding for AI, semiconductors and other strategic technologies to KRW150 trillion ($107.7 billion). South Korean companies are also stepping up efforts, with SK Telecom announcing plans to raise AI investment to a third of its revenue over five years.

BlackRock’s involvement signals international confidence in South Korea’s long-term vision to position itself as a regional AI powerhouse and secure a leadership role in next-generation digital infrastructure.

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Emerging AI trends that will define 2026

AI is set to reshape daily life in 2026, with innovations moving beyond software to influence the physical world, work environments, and international relations.

Autonomous agents will increasingly manage household and workplace tasks, coordinating projects, handling logistics, and interacting with smart devices instead of relying solely on humans.

Synthetic content will become ubiquitous, potentially comprising up to 90 percent of online material. While it can accelerate data analysis and insight generation, the challenge will be to ensure genuine human creativity and experience remain visible instead of being drowned out by generic AI outputs.

The workplace will see both opportunity and disruption. Routine and administrative work will increasingly be offloaded to AI, creating roles such as prompt engineers and AI ethics specialists, while some traditional positions face redundancy.

Similarly, AI will expand into healthcare, autonomous transport, and industrial automation, becoming a tangible presence in everyday life instead of remaining a background technology.

Governments and global institutions will grapple with AI’s geopolitical and economic impact. From trade restrictions to synthetic propaganda, world leaders will attempt to control AI’s spread and underlying data instead of allowing a single country or corporation to have unchecked dominance.

Energy efficiency and sustainability will also rise to the fore, as AI’s growing power demands require innovative solutions to reduce environmental impact.

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Health New Zealand appoints a new director to lead AI-driven innovation

Te Whatu Ora (the healthcare system of New Zealand) has appointed Sonny Taite as acting director of innovation and AI and launched a new programme called HealthX.

An initiative that aims to deliver one AI-driven healthcare project each month from September 2025 until February 2026, based on ideas from frontline staff instead of new concepts.

Speaking at the TUANZ and DHA Tech Users Summit in Auckland, New Zealand, Taite explained that HealthX will focus on three pressing challenges: workforce shortages, inequitable access to care, and clinical inefficiencies.

He emphasised the importance of validating ideas, securing funding, and ensuring successful pilots scale nationally.

The programme has already tested an AI-powered medical scribe in the Hawke’s Bay emergency department, with early results showing a significant reduction in administrative workload.

Taite is also exploring solutions for specialist shortages, particularly in dermatology, where some regions lack public services, forcing patients to travel or seek private care.

A core cross-functional team, a clinical expert group, and frontline champions such as chief medical officers will drive HealthX.

Taite underlined that building on existing cybersecurity and AI infrastructure at Te Whatu Ora, which already processes billions of security signals monthly, provides a strong foundation for scaling innovation across the health system.

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Cyberattack disrupts major European airports

Airports across Europe faced severe disruption after a cyberattack on check-in software used by several major airlines.

Heathrow, Brussels, Berlin and Dublin all reported delays, with some passengers left waiting hours as staff reverted to manual processes instead of automated systems.

Brussels Airport asked airlines to cancel half of Monday’s departures after Collins Aerospace, the US-based supplier of check-in technology, could not provide a secure update. Heathrow said most flights were expected to operate but warned travellers to check their flight status.

Berlin and Dublin also reported long delays, although Dublin said it planned to run a full schedule.

Collins, a subsidiary of aerospace and defence group RTX, confirmed that its Muse software had been targeted by a cyberattack and said it was working to restore services. The UK’s National Cyber Security Centre coordinates with airports and law enforcement to assess the impact.

Experts warned that aviation is particularly vulnerable because airlines and airports rely on shared platforms. They said stronger backup systems, regular updates and greater cross-border cooperation are needed instead of siloed responses, as cyberattacks rarely stop at national boundaries.

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UK and USA sign technology prosperity deal

The UK and the USA have signed a Memorandum of Understanding (MOU) regarding the technology prosperity deal. The aim is to facilitate collaboration on joint opportunities of mutual interest across strategic science and technology areas, including AI, civil energy, and quantum technologies.

The two countries intend to collaborate on building powerful AI infrastructure, expanding access to computing for researchers, and developing high-impact datasets.

Key focus areas include joint flagship research programs in priority domains such as biotechnology, precision medicine, and fusion energy, supported by leading science agencies from both the UK and the USA.

The partnership will also explore AI applications in space, foster secure infrastructure and hardware innovation, and promote AI exports. Efforts will be made to align AI policy frameworks, support workforce development, and ensure broad public benefit.

The US Center for AI Standards and Innovation and the UK AI Security Institute will work together to advance AI safety, model evaluation, and global standards through shared expertise and talent exchange.

Additionally, the deal aims to fast-track breakthrough technologies, streamline regulation, secure supply chains, and outpace strategic competitors.

In the nuclear sector, the countries plan joint efforts in advanced reactors, next-generation fuels, and fusion energy, while upholding the highest standards of safety and non-proliferation.

Lastly, the deal aims to develop powerful machines with real-world applications in defence, healthcare, and logistics, while prioritising research security, cyber resilience, and protection of critical infrastructure.

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Intel to design custom CPUs as part of NVIDIA AI partnership

The two US tech firms, NVIDIA and Intel, have announced a major partnership to develop multiple generations of AI infrastructure and personal computing products.

They say that the collaboration will merge NVIDIA’s leadership in accelerated computing with Intel’s expertise in CPUs and advanced manufacturing.

For data centres, Intel will design custom x86 CPUs for NVIDIA, which will be integrated into the company’s AI platforms to power hyperscale and enterprise workloads.

In personal computing, Intel will create x86 system-on-chips that incorporate NVIDIA RTX GPU chiplets, aimed at delivering high-performance PCs for a wide range of consumers.

As part of the deal, NVIDIA will invest $5 billion in Intel common stock at $23.28 per share, pending regulatory approvals.

NVIDIA’s CEO Jensen Huang described the collaboration as a ‘fusion of two world-class platforms’ that will accelerate computing innovation, while Intel CEO Lip-Bu Tan said the partnership builds on decades of x86 innovation and will unlock breakthroughs across industries.

The move underscores how AI is reshaping both infrastructure and personal computing. By combining architectures and ecosystems instead of pursuing separate paths, Intel and NVIDIA are positioning themselves to shape the next era of computing at a global scale.

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