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Intel unveils new Core Ultra processors with 2X to 3X performance on AI apps

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Intel unveiled new Intel Core Ultra 9 processors today at CES 2025 with as much as two or three times the edge performance on AI apps as before. The chips under the Intel Core Ultra 9 […]

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Intel unveiled new Intel Core Ultra 9 processors today at CES 2025 with as much as two or three times the edge performance on AI apps as before.

The chips under the Intel Core Ultra 9 and Core i9 labels were previously codenamed Arrow Lake H, Meteor Lake H, Arrow Lake S and Raptor Lake S Refresh. Intel said it is pushing the boundaries of AI performance and power efficiency for businesses and consumers, ushering in the next era of AI computing.

In other performance metrics, Intel said the Core Ultra 9 processors are up to 5.8 times faster in media performance, 3.4 times faster in video analytics end-to-end workloads with media and AI, and 8.2 times better in terms of performance per watt than prior chips.

Intel hopes to kick off the year better than in 2024. CEO Pat Gelsinger resigned last month without a permanent successor after a variety of struggles, including mass layoffs, manufacturing delays and poor execution on chips including gaming bugs in chips launched during the summer.

Intel Core Ultra Series 2
Intel Core Ultra Series 2

Michael Masci, vice president of product management at the Edge Computing Group at Intel, said in a briefing that AI, once the domain of research labs, is integrating into every aspect of our lives, including AI PCs where the AI processing is done in the computer itself, not the cloud. AI is also being processed in data centers in big enterprises, from retail stores to hospital rooms.

“As CES kicks off, it’s clear we are witnessing a transformative moment,” he said. “Artificial intelligence is moving at an unprecedented pace.”

The new processors include the Intel Core 9 Ultra 200 H/U/S models, with up to 99 TOPS (a measure of AI performance) for the H versions. Other models being launched carry the Intel Core 200S, 200H, 100U and Intel Core 3 processor and Intel Processor names.

The chips have improvements for data security, and they come with built-in Intel Arc GPU with Intel XMX or Intel graphics.

Intel Core Ultra 200V series processors are focused on the enterprise.

For the flagship Intel Core Ultra 9 processor 285H, formerly codenamed Arrow Lake H, the chip has 2.2 times higher performance in Procyon AI Computer Vision, 3.3 times higher performance in Llama 3 8B, and 2.3 times higher performance in Stable Diffiusion 1.5 compared to the prior chip, the Intel Core Ultra 9 processor 185H (codenamed Meteor Lake H).

Intel is now under the temporary leadership of David Zinsner and Michelle Johnston Holthaus as co-CEOs. Zinsner is the CFO of Intel, while Holthaus is the general manager of Intel’s client computing group.

“Intel Core Ultra processors are setting new benchmarks for mobile AI and graphics, once again demonstrating the superior performance and efficiency of the x86 architecture as we shape the future of personal computing,” said Michelle Johnston Holthaus, interim co-CEO of Intel and CEO of Intel Products, in a statement. “The strength of our AI PC product innovation, combined with the breadth and scale of our hardware and software ecosystem across all segments of the market, is empowering users with a better experience in the traditional ways we use PCs for productivity, creation and communication, while opening up completely new capabilities with over 400 AI features. And Intel is only going to continue bolstering its AI PC product portfolio in 2025 and beyond as we sample our lead Intel 18A product to customers now ahead of volume production in the second half of 2025.”

The Intel Core Ultra Processor (V-SKUs) platform has NPU performance that hits 48 TOPS and 67 TOPS with a GPU. The V-SKUs have eight processor cores and run at P-Core Max Turbo frequency up to 5.1 GHz. Intel said its AI PCs use GPUs for high throughput, NPUs for low power AI workloads and CPUs for fast response with low-latency AI workloads. There are other variations on the Intel Core Ultra as well.

In other CES 2025 news, Intel is also unveiling its solutions for smart vehicles. Jack Weast, Intel Fellow and vice president of Intel Automotive, will unveil Intel’s next-gen architecture with AI inside for vehicles on Tuesday, January 7, at 3:30 p.m. Intel’s whole-vehicle approach is built to empower the next generation of intelligent software-defined vehicles.

Intel is offering a Core Ultra 9 vPro refresh.

Weast’s will showcase how Intel’s combination of AI-enhanced high-performance compute, intelligent power management and software-defined zonal controllers built on an open ecosystem enables a more sustainable, scalable and profitable automotive future.

Intel also showed off its Intel Core Ultra 200V Series processors (announced in September) for business users. It also updated its Intel vPro technology for IT departments.

For businesses striving to stay ahead in the AI era, Intel introduced Intel Core Ultra 200V series processors with Intel vPro. These new processors offer dramatic performance gains, enhanced efficiency, and robust security and manageability features to help modernize IT environments.

New Intel Core Ultra 200V series mobile processors with Intel vPro are empowering businesses with AI-driven productivity and enhanced IT management. The combination of performance, efficiency and industry-leading business computing with advanced security and manageability – all while enabling a seamless Microsoft Copilot+ experience – helps to deliver a robust platform for modern workplaces, Intel said.

It noted that the latest HP EliteBook X laptop with an Intel Core Ultra7 268V processor has up to 10.5 hours of battery life using Microsoft Teams, compared to similar rival machines with lower battery lives. On Microsoft 365 apps, it has up to 20.3 hours of battery life.

Intel has partnered with Microsoft to continue to advance AI-driven innovation, enhanced security, and superior performance into 2025. Copilot+ PCs powered by Intel Core Ultra 200V series processors unlock next gen AI productivity, all while delivering long lasting battery life, Intel said..

“Copilot+ PCs offer exceptional performance, battery life, enhanced AI experiences, and are all Secured-core PCs with the Microsoft Pluton security processor. Copilot+ PCs powered by Intel Core Ultra 200V series deliver on all these fronts, and we are excited to partner with Intel to bring a broad set of Copilot+ PCs to commercial audiences,” said Pavan Davuluri, CVP Windows + Devices at Microsoft, in a statement. “Intel Core Ultra 200V series Copilot+ PCs are an excellent choice for commercial customers looking to upgrade their existing Windows 10 PCs to Windows 11.”

Intel Core Ultra 200HX and H Series: Powering Creators and Gamers

For creators and gaming enthusiasts, Intel introduces the Core Ultra 200HX and H series mobile processors, delivering industry-leading performance, efficiency and platform capabilities, alongside a landmark reduction in power usage. These processors elevate mobile creativity and provide gamers with an immersive experience backed by powerful AI acceleration, Intel said.

“Our Intel Core Ultra 200HX and H series processors are built for the next generation of creators and gamers,” said Josh Newman, vice president of the Client Computing Group and general manager of Product Marketing and Management at Intel, in a statement. “With breakthrough compute and graphics performance, efficiency and AI capabilities, these processors will push the entire laptop experience to new heights.”

Key features of the Intel Core Ultra 200HX and H series mobile processors include:

  • Up to 24 cores – eight Performance-cores (P-cores) and 16 Efficient-cores (E-cores) – for HX-series up to 16 cores – six P-cores, eight E-cores and two low power E-cores – for H-series, based on Intel’s latest core architecture. These new processors give gamers, creators and professionals the computing power they need for gaming and creating on the go – including up to 41% better multi thread (MT) performance for Intel Core Ultra 200HX series compared to prior gen HX series processors.
  • The Intel Core Ultra 200H series features Intel Arc graphics with up to eight Intel Xe cores featuring Intel Xe Matrix extensions (XMX) for AI acceleration – providing up to 22% better gaming performance compared to prior gen H-series processors. Across the entire platform these processors deliver up to 99 TOPS (trillion operations per second) when using the graphics processing unit (GPU), central processing unit (CPU) and neural processing unit (NPU).
  • The Intel Core Ultra 200HX series processor is Intel’s first mobile enthusiast AI PC with a built-in NPU, providing 13 TOPS.
  • The Intel Core Ultra 200HX series processor provides the latest in bandwidth and connectivity, with as many as 48 total PCIe lanes (including PCIe 4.0 and 5.0) to connect the latest discrete GPUs and storage.
  • Packaging improvements result in a 33% smaller processor package overall, enabling new premium thin-and-light designs without compromising on performance.

Additionally, Intel is launching its Intel Core Ultra 200U series mobile processors featuring up to two P-cores and eight E-cores, Intel Xe LPG graphics, and up to 24 platform TOPS. Intel Core Ultra 200U series systems give users a great balance of performance, power efficiency and price.

Intel is also expanding its Intel Core Ultra 200S series desktop processors with 12 new 65-watt and 35-watt offerings. Featuring up to eight P-cores and 16 E-cores, these new processors will give customers an incredible blend of performance and power efficiency in a desktop CPU – whether for gaming, creating or using productivity applications.

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Delays in TSMC’s Arizona plant spark supply chain worries

Delays at TSMC’s Arizona plant could compel its customers to rely on Taiwan-based facilities, leaving them vulnerable to geopolitical risks tied to Taiwan’s dominance in semiconductor production. “This situation could also delay the rollout of next-generation products in the US market, affecting timelines for AI, gaming, and high-performance computing innovations,”

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Strategists Forecast Near 8MM Barrel USA Crude Inventory Drop

In an oil and gas report sent to Rigzone late Tuesday by the Macquarie team, Macquarie strategists revealed that they are forecasting that U.S. crude inventories will be down 7.9 million barrels for the week ending January 17. “This compares to our early look for the week which anticipated a 4.7 million barrel draw, and a 2.0 million barrel draw realized for the week ending January 10,” the Macquarie strategists noted in the report. “On the product side of the ledger, in aggregate, our expectations are slightly tighter than our early view, but nevertheless represent a healthy build,” they added. In the report, the Macquarie strategists stated that, “for this week’s crude balance, from refineries”, they “model crude runs lower (-0.6 million barrels per day)”. “Among net imports, we model a large decrease, with exports sharply higher (+1.0 million barrels per day) and imports up slightly (+0.1 million barrels per day) on a nominal basis,” the strategists continued. The Macquarie strategists noted in the report that timing of cargoes remains a source of potential volatility in this week’s crude balance. “From implied domestic supply (prod.+adj.+transfers), we look for a reduction (-0.5 million barrels per day) following a strong print last week. Rounding out the picture, we anticipate another small increase in SPR inventory (+0.3 million barrels) on the week,” they added. The strategists stated in the report that, “among products”, they “look for builds in gasoline (+3.2 million barrels) and jet (+1.5 million barrels), with a modest draw in distillate (-0.6 million barrels)”. “We model implied demand for these three products at ~13.9 million barrels per day for the week ending January 17,” they added. In an oil and gas report sent to Rigzone by the Macquarie team late last week, Macquarie strategists outlined that they “anticipate a solid U.S.

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EU Should Talk to USA Before Retaliating on Tariffs, Kukies Says

German Finance Minister Joerg Kukies suggested the European Union might be in a better position if it talks with the US about potential trade tariffs instead of immediately imposing countermeasures. “I would say let’s talk before we think about retaliation,” Kukies said Wednesday in a Bloomberg TV interview at the World Economic Forum in Davos, Switzerland. “I wouldn’t want talk about retaliation if there is nothing yet to retaliate to and who knows, maybe the way I understood the president’s yesterday there is also scope for discussions.” US President Donald Trump has repeatedly called for the EU to buy more American oil and gas if the bloc wants to avoid tariffs. Brussels, as well as some Asian governments, are considering purchasing more energy from the world’s biggest producer of crude and exporter of liquefied natural gas. European Commission President Ursula von der Leyen floated the idea last year that imports from the US could replace the bloc’s consumption of Russian LNG. “Germany is already importing very, very substantial amounts of oil and gas from the United States and for us the security of supply of the transition energy is extremely important,” he said. “No matter how policy is formed, it’s always in our interest to be close to our biggest ally and to strengthen the transatlantic relationship.” Trump’s return to the White House comes at a difficult time for Europe’s largest economy, which shrank for a second consecutive year in 2024 and is unlikely to grow much in 2025. Sluggish demand in key industrial sectors, waning exports to China and high energy prices in the wake of Russia’s war against Ukraine hit the country hard. What do you think? We’d love to hear from you, join the conversation on the Rigzone Energy Network. The Rigzone Energy Network is a new social experience

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Habeck Urges Europe to Limit Reliance on US Energy

Germany’s economy minister Robert Habeck warned Europe against becoming overly reliant on US energy and urged the region to stick together in response to the new Donald Trump administration. Europe should “meet the Trump administration with an outstretched hand, but not have our hand cut off,” he said Tuesday at the Handelsblatt energy summit in Berlin, responding to the climate and energy directives Trump launched hours after taking office. The European Union should define its own interests, said Habeck, who is the Green Party’s lead candidate for Germany’s upcoming Feb. 23 elections. Habeck called it “a fatal signal to the world” that one of Trump’s first official acts as president was to withdraw from the Paris Climate Agreement, which aims to keep a global temperature rise this century below 2C above pre-industrial times. “That is the beginning of a historic failure,” he said.  Habeck also warned that Trump’s plan to impose tariffs on other nations will drive up inflation in the US and Europe and weaken the economy.  “We shouldn’t believe that what is happening there can be a model for us,” said Habeck, who is also Germany’s vice chancellor. “That would destroy the foundations of what we have created here in Germany and Europe.”  While countries across the world are considering ramping up US imports to placate the new administration, a stronger reliance on the US could mean “a form of blackmail that we had in Russia is being repeated,” said Habeck.  After Moscow’s attack on Ukraine, Europe lost most of its Russian gas supplies via pipelines and had to turn to more expensive liquefied natural gas imports, mostly from the US. Its economy — and particularly that of Germany — has been slow to recover from the shock. “In a world in which we have to expect energy supply chains to be exploited for

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EnQuest picks up Harbour Energy Vietnam assets in $84 million deal

Aberdeen-based EnQuest (LON: ENQ) has acquired Harbour Energy’s (LON: HBR) Vietnam business as part of a $84 million deal to  “grow its international operating footprint”. The firm’s chief executive Amjad Bseisu said: “As EnQuest continues to work towards a transformational transaction in the UK North Sea, this agreement underlines our commitment to growth, a disciplined approach to M&A, and deploying capital where we see the most favourable returns.” As part of the deal, EnQuest will take over Harbour Energy’s 53.125% stake in the Chim Sáo and Dua fields. The London-listed oil firm said it expects to complete the deal in the second quarter of this year. In addition to the $85 million value for the deal, EnQuest will also fork out net interim period cash flows of around $35m. Speaking on the impact its new assets will have on production, EnQuest told shareholders that net 2P reserves and 2C resources across the fields total 7.5 million barrels of oil equivalent (boe) and 4.9 million boe, respectively. Late last year, the firm entered the Malaysian gas market when it was awarded the rights to develop additional resources from its Seligi field. © Supplied by EnQuestEnQuest’s Segli field in Malaysia. EnQuest Petroleum Production Malaysia is developing the project in partnership with Petronas Carigali Sdn Bhd (PCSB) and E&P Malaysia Venture (EPMV) and holds a 50% equity share in the development. Bseisu added: “Our entry into Vietnam is highly complementary to EnQuest’s well-established and high-performing Malaysia business and significantly enhances the scale of our operations and opportunity in South East Asia. “The region is key to EnQuest’s growth and diversification strategy and we are excited by the potential to deploy our proven expertise and operating capability to optimise and enhance the Block 12W assets. “We look forward to welcoming our new employees from

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Investing with a purpose: growth with social impact

Businesses are increasingly expected to do more than generate profit, and for Balmoral Group this expectation is a guiding principle. With a rich history of over 40 years, Balmoral is not just building successful businesses – it’s building a legacy of sustainable growth and social impact. The group’s unique model of investment, coupled with its commitment to giving back through the Milne Family Foundation and its support for Friends of ANCHOR, offers what the group believes is a blueprint for the future of strategic investment. From strategy to impact © Supplied by Balmoral GroupBalmoral actively supports its community through education, charity, and cultural involvement, with strong backing for Friends of ANCHOR in cancer care and research. At its heart, Balmoral’s success lies in its ability to identify and transform businesses with strong fundamentals and untapped growth potential. Whether it’s enabling Blaze Manufacturing to diversify and triple its turnover, internationalising the Tanks business or spearheading innovative growth in renewables through the Comtec business, Balmoral excels. A prime example is Blaze Manufacturing, which, under Balmoral’s guidance, successfully diversified its operations and tripled its turnover. Similarly, building on decades of expertise in oil and gas, Comtec is seamlessly pivoting to capitalise on the booming renewables market. Set just two years ago, Comtec has already exceeded its ambitious £40 million renewables revenue target. Innovation and diversification are the cornerstones of Balmoral Group. Across its businesses, it is constantly advancing to address the challenges and opportunities of the future. Unlike traditional private equity firms driven by short-term returns, Balmoral operates with patient capital – investing off its own balance sheet. This approach grants the group unparalleled flexibility to support businesses through challenges and deliver growth strategies tailored to their unique needs. For companies like Blaze, this has meant more than just financial backing. Balmoral’s active

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Sarens PSG to study floating wind deployment for BlueFloat Energy and Nadara

The BlueFloat Energy and Nadara Partnership has chosen Sarens PSG to study how floating wind turbines can be deployed on an industrial scale in the North Sea. The programme will be delivered by the existing engineering team at Sarens PSG’s Offshore Wind Centre of Excellence in Aberdeen’s Energy Transition Zone The study will focus on developing methods to deploy completed floating wind structures directly from construction or production facilities to operational sites. It aims to achieve this for production line scale volumes, spanning multiple operational years. By investigating deployment operations, the study will identify key cost, risk, and scheduling implications and assess the impact of these factors on port infrastructure within the context of the partnership’s projects. UK portfolio director at the BlueFloat Energy and Nadara Partnership David Robertson said: “These studies represent a significant step forward in the development of our pipeline of floating offshore wind projects in Scotland and will not only deepen our understanding of some of the most pertinent technical challenges facing our industry, but also leverage local expertise through the regional supply chain.” BlueFloat Energy and Nadara are developing the 99.5MW Sinclair and Scaraben floating offshore wind farms as part of the Innovation and Targeted Oil and Gas (INTOG) leasing round in 2022. They previously brought in Edinburgh-based consultancy Arup to assess emerging technologies needed to deliver the projects, and First Marine Solutions (FMS) to design mooring solutions for the projects. In addition to Sinclair and Scaraben, BlueFloat is developing the Bellrock, Broadshore and Stromar ScotWind projects off the coasts of Aberdeen, Fraserburgh and Caithness, respectively. However, Sarens PSG’s study is expected to help inform the entire pipeline of floating wind projects in Scotland. Sarens PSG managing director Steve Clark said: “While deployment techniques have been trialled in smaller-scale demonstrator projects, scaling these processes to

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US GPU export limits could bring cold war to AI, data center markets

Eighteen countries, including the UK, Canada, Sweden, France, Germany, Japan, and South Korea, are exempted from the AI export caps. The Biden administration had previously banned the export of some powerful AI chips to China, Russia, and other adversaries in rules from 2022 and 2023. But other countries friendly to the US, including Mexico, Israel, India, and Saudi Arabia, would be subject to the quotas. The export limits would take effect 120 days from the Jan. 13 order, and it’s unclear whether the incoming Trump administration will amend or rewrite the rule, although Trump has targeted China as a primary economic competitor of the US. The cost of AI In addition to cutting off most of the world from large AI chip purchases, the rule will force countries such as China and Russia to pump up their own AI capabilities, ultimately reducing US AI leadership, claims Aible’s Sengupta.

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Sustainability, grid demands, AI workloads will challenge data center growth in 2025

Cloud training for AI models Uptime believes that most AI models will be trained in the cloud rather than on dedicated enterprise infrastructure, as cloud services provide a more cost-effective way to fine-tune foundation models for specific use cases. The incremental training required to fine-tune a foundation model can be done cost-effectively on cloud platforms without the need for a large, expensive on-premises cluster. Enterprises can leverage on-demand cloud resources to customize the foundation model as needed, without investing the capital and operational costs of dedicated hardware. “Because fine-tuning requires only a relatively small amount of training, for many it just wouldn’t make sense to buy a huge, expensive dedicated AI cluster for this purpose. The foundation model, which has already been trained by someone else, has taken the burden of most of the training away from us,” said Dr. Owen Rogers, research director for cloud computing at Uptime. “Instead, we could just use on-demand cloud services to tweak the foundation model for our needs, only paying for the resources we need for as long as we need them.” Data center collaboration with utilities Uptime expects new and expanded data center developers will be asked to provide or store power to support grids. That means data centers will need to actively collaborate with utilities to manage grid demand and stability, potentially shedding load or using local power sources during peak times. Uptime forecasts that data center operators “running non-latency-sensitive workloads, such as specific AI training tasks, could be financially incentivized or mandated to reduce power use when required.” “The context for all of this is that the [power] grid, even if there were no data centers, would have a problem meeting demand over time. They’re having to invest at a rate that is historically off the charts. It’s not just

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UK Government’s Bold AI Plan: A Game-Changer for Data Centers and Economic Growth?

The UK government has presently announced its comprehensive “AI Opportunities Action Plan,” positioning artificial intelligence as a cornerstone for economic growth and public service transformation over the next decade. The bold initiative, spearheaded by Prime Minister Keir Starmer, aims to make Britain a global leader in AI development and adoption, with significant implications for the data center industry.   Britain’s ambitious AI roadmap taps into the growing synergy between artificial intelligence and data infrastructure. With dedicated AI Growth Zones and a focus on sustainable energy, the UK is setting the stage for an AI-driven economy that aligns with the next generation of data center demands. The data center industry should watch these developments closely, as they signal opportunities for long-term growth in a rapidly evolving market.   AI Infrastructure Prioritization Meets Major Private Sector Investments    The UK government plan introduces “AI Growth Zones,” areas designed to streamline planning approvals for data centers and enhance access to energy infrastructure.  These zones will focus on de-industrialized regions, providing a dual benefit of revitalizing local economies and accelerating the rollout of AI infrastructure. The first such zone will be established in Culham, Oxfordshire, leveraging local expertise in sustainable energy research, including fusion technologies.   Leading tech firms, including Vantage Data Centers, Nscale, and Kyndryl, have committed £14 billion to AI infrastructure development under the plan, creating 13,250 jobs across the UK, according to a press release.  Vantage Data Centers alone plans to invest over £12 billion to establish one of Europe’s largest campuses in Wales and additional facilities nationwide, generating 11,500 jobs.   Plan Harnesses AI for Both Public, Private Sectors  A significant component of the plan is a proposed 20x increase in public compute capacity by 2030, starting with the development of a new supercomputer to support AI innovation. Alongside this supercharging of

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Prologis and Skybox Advance Warehouse Conversion Strategy with Illinois Data Center Sale

Prologis, among the global leaders in industrial real estate, has taken another major step into the data center market with the sale of a newly developed turnkey data center in Illinois. With the deal for the sale announced last December, partnering with Skybox Datacenters, Prologis had initially converted one of its existing warehouses into a 32 megawatt (MW) facility, demonstrating as far back as 2021 the growing appeal of adaptive reuse for digital infrastructure. As reported by Data Center Dynamics’ Dan Swinhoe: “Skybox said the facility was located in the Elk Grove village area of the city. Images shared by Skybox and Prologis suggest it was Chicago 1, the data center the two companies completed in early 2022 […] DCD reached out for more information. Prologis confirmed Chicago 1 has been sold; the powered shell has been completed, with the turnkey development is in process. The facility spans 190,000 sq ft on a ten-acre site.” The converted facility’s buyer, HMC Capital, sees this acquisition as a marquee asset for its newly launched DigiCo Infrastructure REIT, which targets high-quality data center investments across the United States and Australia. The deal highlights the rapid evolution of Prologis’ data center strategy and the increasing convergence of industrial real estate and digital infrastructure. Prologis’ Growing Presence in Data Centers Prologis is no stranger to data center development, having been featured in prior DCF coverage for its strategic moves into the rapidly burgeoning sector. The Illinois project reflects Prologis’ focus on unlocking higher-value uses for its vast portfolio of warehouses.  According to Dan Letter, President of Prologis, “Warehouse conversions in key markets offer a compelling growth opportunity while delivering outsized returns to our investors and meeting customer demand for digital infrastructure.” To support this strategy, Prologis has aggressively scaled its power procurement capabilities, securing 1.6

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President Biden’s Executive Order on AI Data Center Construction: Summary and Commentary

Issued this week, President Biden’s “Executive Order on Advancing United States Leadership in Artificial Intelligence Infrastructure” represents a transformative policy moment for the data center industry if implemented, underscoring the convergence of two equally transformative forces: the AI revolution and the clean energy transition. For the data center industry, the policy marks a clear shift toward a strategic, mission-critical role in national security and economic resilience. The Executive Order’s vision also aligns with definitively emerging trends in the contemporary data center industry, particularly the pivot toward sustainability and energy efficiency. The policy’s emphasis on clean energy infrastructure—whether through nuclear, geothermal, or long-duration storage—addresses the industry’s growing focus on renewable power. However, executing this vision will require massive investments in grid modernization and streamlined permitting processes, which have historically been bottlenecks for large-scale infrastructure projects. The directive to align new AI electricity demands with clean energy sources puts a spotlight on the challenges posed by AI’s computational intensity. Hyperscale operators and colocation providers will need to redouble their rethinking of power procurement strategies, with a renewed focus on distributed energy resources and partnerships with utility providers. Additionally, the Executive Order’s call for high labor standards and community engagement reflects growing federal acknowledgment of data centers’ societal footprint. While the industry has made strides in community outreach, such measures ensure data center developments are not just sustainable but also equitable, creating jobs and fostering goodwill in the communities where they operate. For what it explicitly defines as “frontier AI data centers,” the Executive Order also seeks to provide a regulatory framework to streamline development, while ensuring robust cybersecurity and supply chain integrity. Importantly though, balancing the urgency of AI infrastructure development with the complex demands of energy transition and national security will require unprecedented levels of public-private collaboration. The Executive Order apparently isn’t just

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Edged Data Centers Builds for the Future On Heels of Innovative Nuclear Power Partnership

MERLIN Properties and Edged Energy to Build Gigawatt-Scale AI Data Center Campuses in Spain To wit, in a furtherance of its groundbreaking partnership in Europe, MERLIN Properties and Edged Energy are collaborating with the regional government of Extremadura, Spain, to establish two state-of-the-art data center campuses. These facilities, designed to support the burgeoning demand for generative AI and advanced computing, promise to set new standards for sustainability and efficiency in the data center industry. A Vision for Sustainability and Growth in Extremadura The data centers, located in Navalmoral de la Mata (Cáceres Province) and Valdecaballeros (Badajoz Province), will each deliver up to 1 GW of IT capacity. Featuring industry-leading innovations, the campuses will boast an average PUE of 1.15, ensuring ultra-efficient operations. Edged says the project represents a significant leap forward in green data center development, aligning with Extremadura’s commitment to leveraging innovation and technology for economic and environmental progress. “Our mission is to create data centers for positive impact, and we are proud to contribute to the Iberian Peninsula’s growing digital economy,” said Jakob Carnemark, CEO of Edged Energy. “The region offers unprecedented fiber connectivity with massive submarine connections worldwide and boasts reliable, abundant, and low-cost renewable energy.” Harnessing Renewable Energy and Cutting-Edge Cooling Technology The Extremadura facilities will operate entirely on electricity from renewable sources, capitalizing on the region’s vast sustainable energy capacity. Extremadura currently produces six times the electricity it consumes, making it an ideal location for gigawatt-scale data centers. The project’s waterless cooling system, ThermalWorks, will enable the facilities to operate without consuming water, a critical innovation for such regions with limited water resources. The system will support ultra-high rack densities of up to 200kW per rack to accommodate the advanced computing demands of AI workloads. Strategic Location and Connectivity The Iberian Peninsula is rapidly becoming

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Microsoft will invest $80B in AI data centers in fiscal 2025

And Microsoft isn’t the only one that is ramping up its investments into AI-enabled data centers. Rival cloud service providers are all investing in either upgrading or opening new data centers to capture a larger chunk of business from developers and users of large language models (LLMs).  In a report published in October 2024, Bloomberg Intelligence estimated that demand for generative AI would push Microsoft, AWS, Google, Oracle, Meta, and Apple would between them devote $200 billion to capex in 2025, up from $110 billion in 2023. Microsoft is one of the biggest spenders, followed closely by Google and AWS, Bloomberg Intelligence said. Its estimate of Microsoft’s capital spending on AI, at $62.4 billion for calendar 2025, is lower than Smith’s claim that the company will invest $80 billion in the fiscal year to June 30, 2025. Both figures, though, are way higher than Microsoft’s 2020 capital expenditure of “just” $17.6 billion. The majority of the increased spending is tied to cloud services and the expansion of AI infrastructure needed to provide compute capacity for OpenAI workloads. Separately, last October Amazon CEO Andy Jassy said his company planned total capex spend of $75 billion in 2024 and even more in 2025, with much of it going to AWS, its cloud computing division.

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John Deere unveils more autonomous farm machines to address skill labor shortage

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Self-driving tractors might be the path to self-driving cars. John Deere has revealed a new line of autonomous machines and tech across agriculture, construction and commercial landscaping. The Moline, Illinois-based John Deere has been in business for 187 years, yet it’s been a regular as a non-tech company showing off technology at the big tech trade show in Las Vegas and is back at CES 2025 with more autonomous tractors and other vehicles. This is not something we usually cover, but John Deere has a lot of data that is interesting in the big picture of tech. The message from the company is that there aren’t enough skilled farm laborers to do the work that its customers need. It’s been a challenge for most of the last two decades, said Jahmy Hindman, CTO at John Deere, in a briefing. Much of the tech will come this fall and after that. He noted that the average farmer in the U.S. is over 58 and works 12 to 18 hours a day to grow food for us. And he said the American Farm Bureau Federation estimates there are roughly 2.4 million farm jobs that need to be filled annually; and the agricultural work force continues to shrink. (This is my hint to the anti-immigration crowd). John Deere’s autonomous 9RX Tractor. Farmers can oversee it using an app. While each of these industries experiences their own set of challenges, a commonality across all is skilled labor availability. In construction, about 80% percent of contractors struggle to find skilled labor. And in commercial landscaping, 86% of landscaping business owners can’t find labor to fill open positions, he said. “They have to figure out how to do

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2025 playbook for enterprise AI success, from agents to evals

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More 2025 is poised to be a pivotal year for enterprise AI. The past year has seen rapid innovation, and this year will see the same. This has made it more critical than ever to revisit your AI strategy to stay competitive and create value for your customers. From scaling AI agents to optimizing costs, here are the five critical areas enterprises should prioritize for their AI strategy this year. 1. Agents: the next generation of automation AI agents are no longer theoretical. In 2025, they’re indispensable tools for enterprises looking to streamline operations and enhance customer interactions. Unlike traditional software, agents powered by large language models (LLMs) can make nuanced decisions, navigate complex multi-step tasks, and integrate seamlessly with tools and APIs. At the start of 2024, agents were not ready for prime time, making frustrating mistakes like hallucinating URLs. They started getting better as frontier large language models themselves improved. “Let me put it this way,” said Sam Witteveen, cofounder of Red Dragon, a company that develops agents for companies, and that recently reviewed the 48 agents it built last year. “Interestingly, the ones that we built at the start of the year, a lot of those worked way better at the end of the year just because the models got better.” Witteveen shared this in the video podcast we filmed to discuss these five big trends in detail. Models are getting better and hallucinating less, and they’re also being trained to do agentic tasks. Another feature that the model providers are researching is a way to use the LLM as a judge, and as models get cheaper (something we’ll cover below), companies can use three or more models to

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OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

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