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Foxconn and Intel Join Forces to Build Next-Generation AI Infrastructure

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Foxconn and Intel have announced a strategic partnership to jointly develop next-generation artificial intelligence infrastructure, strengthening their positions in one of the fastest-growing segments of the global technology industry as demand for AI computing capacity continues to accelerate.

The collaboration combines Intel’s processor and AI accelerator technologies with Foxconn’s large-scale manufacturing and system integration expertise. Together, the companies plan to build advanced AI data center equipment, including high-performance server racks powered by Intel Xeon processors and specialized AI chips designed for large-scale machine learning workloads.

Beyond traditional cloud infrastructure, the partnership also targets emerging applications where artificial intelligence is increasingly moving into the physical world. The companies intend to develop AI computing platforms for factories, smart cities, robotics, and other industrial environments, reflecting the growing importance of so-called “physical AI” systems.

A key focus of the alliance will be optimizing the broader AI hardware ecosystem through innovations in high-speed interconnects, cooling technologies, and energy efficiency. As AI models become larger and more computationally demanding, reducing power consumption and improving thermal management are becoming critical competitive advantages for infrastructure providers.

The agreement also opens the door for future collaboration on custom chip development and integrated AI systems, potentially allowing the two companies to compete more effectively against dominant AI infrastructure players. While financial details and customer commitments were not disclosed, the partnership highlights how manufacturers and semiconductor companies are increasingly aligning to capture the enormous investment flowing into AI data centers worldwide.

For Foxconn, the deal represents another step beyond its traditional role as an electronics assembler toward becoming a provider of advanced computing infrastructure. For Intel, it strengthens its ecosystem strategy as the company seeks to expand its influence in AI hardware markets dominated by Nvidia.

The partnership underscores a broader industry trend: the AI race is no longer centered only on chips themselves, but on complete computing platforms that integrate processors, manufacturing, networking, cooling, and intelligent system design.

Investors Pressure Big Tech Over Data Center Water, Power Use

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Major investors are increasing pressure on Amazon, Microsoft and Google to disclose more information about the environmental impact of their rapidly expanding data center operations in the United States.

The scrutiny comes as several large-scale data center projects have faced community opposition, forcing companies to reconsider or abandon multibillion-dollar developments. Concerns center on rising electricity demand and water consumption driven by artificial intelligence infrastructure.

Investor groups, including Trillium Asset Management, have filed shareholder resolutions seeking clearer reporting on emissions targets and sustainability strategies. Despite prior commitments—such as Google’s goal to halve emissions by 2030—investors note that emissions have instead increased significantly.

Water usage has become a focal issue. Data centers in North America consumed nearly one trillion liters of water in 2025, raising concerns about local resource strain. While companies are adopting more efficient cooling systems, such as closed-loop technologies, reporting standards vary widely across firms.

Meta Platforms has disclosed partial data showing rising water use, while Microsoft reports aggregate figures without site-level breakdowns. Amazon provides efficiency metrics but not total consumption, and Google’s disclosures omit some third-party facilities.

Investors argue that detailed, site-specific data is essential to evaluate operational risks and environmental impact, particularly in regions where water scarcity is a growing concern.

The pressure reflects a broader shift in how shareholders assess Big Tech, balancing strong growth from AI-driven infrastructure with long-term environmental and regulatory risks. As data center expansion accelerates, transparency and community engagement are becoming critical factors in sustaining that growth.

SLB Expands Nvidia Partnership for AI Energy Infrastructure

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SLB has expanded its partnership with Nvidia to develop artificial intelligence infrastructure and specialized models for the energy sector.

The collaboration builds on a long-standing relationship between the two companies and reflects increasing demand for AI-driven solutions across the energy industry. Companies are seeking to process vast amounts of geological, production and infrastructure data more efficiently to reduce costs, improve reliability and lower emissions.

Under the new agreement, SLB will serve as a design partner for modular AI data centers built on Nvidia technology. The partnership will also focus on creating an “AI Factory for Energy,” a platform designed to help energy producers and power companies convert complex operational data into actionable insights.

The move comes as oilfield service providers look to diversify their business models amid slowing drilling activity, shifting toward digital services and infrastructure linked to AI growth.

The expanded partnership highlights how artificial intelligence is becoming a central tool in transforming traditional industries, including energy, by improving efficiency and enabling more data-driven decision-making.