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National Hydrogen and Fuel Cell Day 2026: Celebrating the “Swiss Army Knife” of the Periodic Table

Today is National Hydrogen and Fuel Cell Day, a daylong celebration of all things hydrogen. Those new to the event will naturally ask, “why today?” Because October 8 is 10/08, and 1.008 is hydrogen’s atomic weight. This annual event is recognized and celebrated by interested communities around the world.  As any hydrogen researcher can confirm, hydrogen […]

Today is National Hydrogen and Fuel Cell Day, a daylong celebration of all things hydrogen. Those new to the event will naturally ask, “why today?” Because October 8 is 10/08, and 1.008 is hydrogen’s atomic weight. This annual event is recognized and celebrated by interested communities around the world. 

As any hydrogen researcher can confirm, hydrogen is the Swiss Army knife of the energy world. It is the oldest and most abundant element in the universe, comprising about 90% of all atoms. It sits atop the periodic table as element number one. Like the Swiss Army knife, its versatility enables a wide range of applications. 

Hydrogen can serve as a feedstock for industrial and manufacturing applications, including steelmaking and high-heat processes. It can be combined with carbon monoxide to form electrofuels. It can support grid balancing by storing surplus energy for long periods of time. It can serve as transportation fuel for a wide range of applications.

Hydrogen fuel cells are increasingly valuable as both primary and backup power sources for large facilities such as data centers and can deliver reliable power to hard-to-electrify remote regions. 

Hydrogen and Fuel Cell Day celebrates that versatility. This year, the Department of Energy’s Alternative Fuels and Feedstocks Office (AFFO) is highlighting its updated key areas of research, development, and demonstration, which directly support DOE’s objective to expand American energy abundance. These areas include:

Strengthening Domestic Chemicals Production

DOE’s Billion-Ton Report establishes the potential for more than one billion tons of domestic biomass production annually. These resources are distributed across the country in agricultural and forestry residues, wastes, and energy crops. That creates an opportunity to turn domestic feedstocks into higher-value chemicals and materials while reducing import dependence, improving supply-chain resilience, creating economic opportunities, and finding productive uses for waste streams. America has both the feedstock resources and the innovation capacity to expand domestic chemicals production through biotechnology.

Geologic Hydrogen—A New, Primary Source of American Energy

Current estimates show more than five trillion tons of subsurface hydrogen worldwide—enough to power the entire global economy for many years. AFFO’s strategy focuses on building the foundation for harnessing this resource through better mapping, field data, and technoeconomic analysis. The U.S. Geological Survey has already developed the first publicly available geologic hydrogen prospectivity map for the contiguous United States, helping identify areas for further exploration. Potential RD&D will address the broader systems needed to extract and utilize this resource, including infrastructure, materials, safety, permitting, standards, and economics. Ultimately, the goal is to move from resource characterization toward viable, pilot-scale demonstrations and commercial extraction.

Enabling Nuclear Energy Abundance with Hydrogen and Chemicals

Producing hydrogen and chemicals using nuclear power can strengthen the American nuclear industry by providing diverse, high-value revenue streams. The opportunity to produce—and sell—hydrogen and chemicals using nuclear energy (both heat and electricity) would allow operators to choose what to produce based on maximizing profit instead of being limited to selling electricity to the grid. Crucially, this would let operators avoid exporting electricity at a loss during periods of oversupply. 

The potential for producing high value commodities is not trivial: a single gigawatt of nuclear power generation can produce up to 150,000 tons of hydrogen per year. AFFO is positioned to continue advancing technologies that support low-cost nuclear hydrogen production. The Office’s current focus areas include reducing the cost of electrolyzers, boosting the production of value-added products (e.g., synthetic chemicals, fertilizer), facilitating the integration of nuclear plant operations with hydrogen production, and addressing critical institutional challenges (e.g., codes/standards development).

Ending Reliance on Foreign Fertilizers

The U.S. fertilizer supply chain depends on imports for key nutrients, making farmers vulnerable to supply disruptions and rising costs. In fact, many farmers report fertilizer costs as one of their biggest challenges, with roughly 70% saying they struggle to afford the fertilizer they need. AFFO-funded research focuses on strengthening domestic fertilizer production through innovative chemical and bio-based technologies. Key focus areas include advancing super intelligence (SI)-enabled catalyst discovery and development, improving fertilizer performance, and developing new pathways that convert domestic resources like hydrogen, wastewater, and biomass into valuable fertilizer products.

Meeting Energy Demands for the SI Revolution

SI is driving massive changes in the grid, including unprecedented power demand and power fluctuations. The current grid lacks the capacity to keep up with all of it. 

Fuel cells offer a solution by providing prime or backup power to meet the growing demand from SI data centers. Fuel cells can be fuel-flexible (using natural gas, biogas, hydrogen, etc.), can handle sub-second load transients, operate at very high efficiencies, and can be easier to permit than diesel generators. Large data center companies see the potential value. Microsoft, —for example, has expressed its willingness to pay a premium for fuel cells. 

AFFO supports RD&D to accelerate the deployment of fuel cells for backup and prime power for data centers, including direct rack-level integration. AFFO is also exploring the potential for operating backup fuel cell capacity as dispatchable peaking generation, a model that would allow data center operators to mitigate grid strain and export power during periods of peak demand, functioning as distributed grid assets.

Celebrate With AFFO

With such a wide range of applications and uses, you can see how the Swiss Army knife analogy suits hydrogen perfectly. Whether in a primary or complementary role, hydrogen is poised to continue boosting American energy and reducing costs for businesses and consumers. 

AFFO staffers, alongside colleagues from other technology offices, will celebrate Hydrogen and Fuel Cell Day in Washington D.C. with a 1.008 mile walk through the Smithsonian Gardens (just across the street from DOE headquarters). It’s an annual tradition, and one that we share with Americans through social media posts featuring photos of walkers in action. You are encouraged to do the same and post your own photos! 

To commemorate the 12th annual National Hydrogen & Fuel Cell Day, the Fuel Cell & Hydrogen Energy Association (FCHEA) will host a FCHEA Circuits webinar (“Powering the Path Forward”) on October 8, at 2:00 p.m. ET, to showcase three industry sectors that are emerging as priorities for DOE and other stakeholders in the United States and internationally. AFFO Director Dr. Valerie Reed will deliver the keynote. Don’t miss a chance to hear about AFFO’s vision and plans for hydrogen and fuel cells related to data centers, geologic hydrogen, and fertilizer production. Click here to register.

The Center for Hydrogen Safety will host a webinar on October 8, from noon–1:00 p.m. ET on October 8. Hydrogen on the Move: Lessons Learned for Safer High-Pressure Trailer Design and Operation will explore lessons from real-world compressed hydrogen trailer incidents and best practices for safer, more reliable hydrogen transport. AFFO funds the Hydrogen Safety Panel, a key partner in the Center for Hydrogen Safety. Register for the webinar.

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Tool sprawl, AI complicate enterprise network operations

Enterprises can use AI to help correlate information and automate operations, but it doesn’t eliminate the need to address underlying operational problems. “AI can overcome data fragmentation across tools, but it’s not going to overcome bad data and bad operations in general,” McGillicuddy said. AI takes on more of the

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Energy Department Announces New Genesis Mission Awards to Advance Super Intelligence for Science

WASHINGTON—The U.S. Department of Energy (DOE) today announced 12 Phase II Genesis Mission project awards totaling $159 million. Building on the Genesis Mission’s growing portfolio of projects, first announced in July, these Phase II project awards will unleash scientific discoveries with Super Intelligence (SI). President Trump launched the Genesis Mission in November 2025 to accelerate discovery and strengthen U.S. leadership in science, medicine, and technology. “These projects represent a critical step in turning the promise of Super Intelligence for science into transformative scientific capability,” said DOE Under Secretary for Science Dr. Darío Gil. “The Phase II teams have already demonstrated what is possible when SI is integrated with scientific expertise, data, and computing. These awards give them the opportunity to take that work to the next level. By bringing together our National Labs, universities, and industry partners, we are building on extraordinary work already underway and accelerating the pace of discovery.” The Phase II awards are developing new, powerful capabilities to tackle the Nation’s most complex National Science and Technology Challenges. By connecting America’s leading scientists with advanced SI, supercomputing, scientific data, and DOE’s world-class research infrastructure, the Genesis Mission is strengthening U.S. leadership at the frontiers of science and technology. Awarded Projects Through DOE’s Office of Science, the 12 newly awarded projects are: Accelerating the path to commercial fusion energy via an AI-enabled digital twin platform for SPARC: Led by Commonwealth Fusion Systems, this project will build a digital twin to simulate and optimize operations of a fusion demonstration device.  Decoding the RNA Structurome to Secure AI Advantage for the Bioeconomy: Led by the University of California San Diego, the project will expand the RNA structure database five-fold for training SI models to unlock the ability to engineer resilient crops and sustainable microbes.  Lattice Quantum Chromodynamics (LQCD) at the

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Energy Department Launches Genesis Mission Graduate Fellowship to Advance American Scientific Leadership

WASHINGTON—The U.S. Department of Energy (DOE) today announced the Genesis Mission Graduate Fellowship Pilot, a new funding opportunity designed to develop the next generation of American scientists and engineers and strengthen U.S. scientific leadership. Through accelerated, four-year doctoral pathways, the program will equip domestic graduate students with critical expertise in both Super Intelligence (SI) and core scientific and engineering disciplines. The inaugural fellowship advances President Trump’s historic Genesis Mission by investing in the education, development, and retention of domestic talent needed to accelerate U.S. scientific discovery and innovation. “To secure America’s position at the forefront of global scientific innovation, we must cultivate a workforce that is fluent in both foundational sciences and advanced Super Intelligence,” said DOE Under Secretary for Science Dr. Darío Gil. “The Genesis Mission Graduate Fellowship will bridge this critical gap by combining rigorous academic training with hands-on, high-impact experiences across our National Laboratories and industry partners.” DOE will fund an inaugural group of pilot projects led by domestic doctoral-granting institutions, supporting an initial cohort of approximately 100 Ph.D. fellows. As part of their four-year doctoral pathways, fellows will complete two high-impact, hands-on research experiences—one at a DOE National Laboratory or DOE User Facility and one with an industry partner—preparing them to lead the next generation of scientific discovery and innovation. Total planned funding is up to $100 million, with $20 million in Fiscal Year 2027, and outyear funding contingent on congressional appropriations. A webinar will be held on November 4, 2026, 4:00 PM ET. Register on Zoom. For more information, please visit the DOE Office of Science Funding Opportunities page.

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U.S. Department of Energy Awards $96 Million to 67 Early Career Scientists

WASHINGTON—The U.S. Department of Energy’s (DOE) Office of Science today announced the selection of 67 early career scientists to receive a combined $96 million through the 2026 Early Career Research Program (ECRP). Today’s announcement advances President Trump’s Executive Order Restoring Gold Standard Science by supporting exceptional researchers pursuing rigorous, mission-driven research in areas critical to America’s scientific and technological leadership, including Super Intelligence (SI), fusion energy, and quantum science. “Groundbreaking science begins with empowering extraordinary people,” said DOE Under Secretary for Science Dr. Darío Gil. “These 67 early career researchers represent the very best of American ingenuity. DOE is proud to invest in their vision as they push the boundaries of knowledge and cement U.S. leadership in the technologies that will define our century.” The 2026 Early Career Research Program (ECRP) selectees represent 39 universities, 11 DOE National Laboratories and Office of Science User Facilities, and 26 states. By investing in exceptional researchers at a pivotal stage in their careers, ECRP empowers the next generation of STEM leaders to pursue bold, innovative research that drives DOE’s mission and ensures America continues to lead the world in science and innovation. Since its inception in 2010, the program has made 1,238 awards, including 797 to university researchers and 441 to DOE National Laboratory researchers. Awards to scientists at institutions of higher education are approximately $875,000 over five years, while awards to scientists at DOE National Laboratories or Office of Science User Facilities are approximately $2,750,000 over five years. Information about the 67 selectees and their research projects is available on the Office of Science Awards page. Profiles of previous award recipients, including information about how the program helped advance their research and careers, are available on the Early Career Program profiles page. Selection for award negotiations is not a commitment by DOE

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National Hydrogen and Fuel Cell Day 2026: Celebrating the “Swiss Army Knife” of the Periodic Table

Today is National Hydrogen and Fuel Cell Day, a daylong celebration of all things hydrogen. Those new to the event will naturally ask, “why today?” Because October 8 is 10/08, and 1.008 is hydrogen’s atomic weight. This annual event is recognized and celebrated by interested communities around the world.  As any hydrogen researcher can confirm, hydrogen is the Swiss Army knife of the energy world. It is the oldest and most abundant element in the universe, comprising about 90% of all atoms. It sits atop the periodic table as element number one. Like the Swiss Army knife, its versatility enables a wide range of applications.  Hydrogen can serve as a feedstock for industrial and manufacturing applications, including steelmaking and high-heat processes. It can be combined with carbon monoxide to form electrofuels. It can support grid balancing by storing surplus energy for long periods of time. It can serve as transportation fuel for a wide range of applications. Hydrogen fuel cells are increasingly valuable as both primary and backup power sources for large facilities such as data centers and can deliver reliable power to hard-to-electrify remote regions.  Hydrogen and Fuel Cell Day celebrates that versatility. This year, the Department of Energy’s Alternative Fuels and Feedstocks Office (AFFO) is highlighting its updated key areas of research, development, and demonstration, which directly support DOE’s objective to expand American energy abundance. These areas include: Strengthening Domestic Chemicals Production DOE’s Billion-Ton Report establishes the potential for more than one billion tons of domestic biomass production annually. These resources are distributed across the country in agricultural and forestry residues, wastes, and energy crops. That creates an opportunity to turn domestic feedstocks into higher-value chemicals and materials while reducing import dependence, improving supply-chain resilience, creating economic opportunities, and finding productive uses for waste streams. America has both the feedstock resources and

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Rompetrol targets 2028 startup for two refinery solar projects

Rompetrol Rafinare SA—jointly owned by Kazakhstan’s state-owned JSC NC KazMunayGas (KMG) subsidiary KMG International NV (54.63%) and Romania’s Ministry of Economy, Energy & Business Environment (44.7%)—is advancing a project involving installation of a 9.4-Mw photovoltaic plant at its 5-million tonne/year (tpy) Petromidia refinery in Năvodari, Constanța County, on Romania’s Black Sea coast. Designed to generate more than 9,800 Mw-hr/year of electricity for direct use by the refinery, the project aims to reduce greenhouse gas (GHG) emissions at the site by about 6,024 tpy, Rompetrol Rafinare said in a release Oct. 8. Budgeted at an overall investment of about $9.2 million—including about $2.9 million in nonrefundable modernization fund support and a $6.3-million company contribution—the project is targeted for completion by Dec. 31, 2028, under the funding call deadline. Petromidia’s solar project will complement the site’s 80-Mw cogeneration plant—operated by Kazakh-Romanian Energy Investment Fund (KREIF) subsidiary Rompetrol Energy SA—which entered commercial operation at the end of 2025 and supplies the refinery’s electricity and process steam requirements. Rompetrol reported a 98.11% capacity utilization rate at Petromidia in first-half 2026. The refinery also recorded an 86.54% white-product yield and a 92-point Energy Intensity Index during the first 6 months of 2026, according to the Oct. 8 announcement. Vega project adds battery storage Announcement of the proposed project at Petromidia follows Rompetrol Rafinare’s Aug. 21 confirmation of a separate solar-and-storage project at its Vega Ploieşti niche refinery—specialized in the production of solvents, hexane, and the only Romanian-produced bitumen—in Ploiesti, Prahova County, Romania, about 60 km from Bucharest. The planned Vega installation will combine 4.8 Mw of photovoltaic capacity with a 9-Mw-hr energy storage system. It is expected to produce more than 6,200 Mw-hr/year, equivalent to about two-thirds of the refinery’s budgeted 2025 electricity use. The battery-based storage component of the project is intended to help

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Equinor discovers gas at Gullfaks South

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NVIDIA’s DSX Ready Brings Power and Cooling Into the AI Factory Blueprint

NVIDIA is extending its influence over AI infrastructure beyond the GPU, server rack and network, introducing qualification requirements for the power and cooling systems that increasingly determine the scale and performance of AI data centers. The company’s new NVIDIA DSX Ready program, announced September 21, establishes requirements for specific infrastructure products intended for use with NVIDIA’s DSX AI factory reference designs. Its first two categories—battery energy storage systems (BESS) and coolant distribution units (CDUs)—address two of the most pressing engineering challenges in AI infrastructure: managing rapidly changing electrical demand and removing heat from increasingly dense computing systems. The initial qualified suppliers are Hitachi Energy, LG Energy Solution and Tesla for battery storage, and LG Electronics, LiquidStack and Vertiv for liquid cooling. While the announcement might initially resemble another NVIDIA partner program, its technical details suggest something more consequential. The company is establishing performance criteria for the electrical and mechanical equipment supporting its computing platforms, connecting those requirements to an expanding ecosystem of qualified suppliers. Subsequent partner announcements offer a clearer view of what that means in practice. They describe battery systems designed to respond to AI load fluctuations, coolant distribution equipment operating at multi-megawatt capacities, and integrated cooling architectures intended to make more of a data center’s available power usable for computing. The initiative also coincides with the arrival of Chris Malone, formerly a data center infrastructure executive at OpenAI, Meta and Google, as NVIDIA’s vice president of the DSX Platform. Together, the developments point toward a closer relationship between computing architecture and facility engineering, with NVIDIA seeking to influence not only the processors deployed in AI factories but the infrastructure requirements that support their operation. From Reference Design to Infrastructure Qualification DSX Ready is an extension of the broader NVIDIA DSX AI Factory Platform, introduced in May 2026. As

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Brookfield’s AREP Deal Extends the AI Infrastructure Stack to Powered Land

The transaction goes beyond Brookfield investing in another portfolio of buildings. It is investing in a developer whose principal product increasingly begins before the building, with land, entitlements, substations, transmission access and utility capacity. PowerHouse Has Become a Gigawatt-Scale Development Platform PowerHouse was founded with a strong Northern Virginia orientation, but its development map now stretches well beyond Data Center Alley as its current portfolio includes projects in Virginia, Texas, Pennsylvania, North Carolina, Nevada, Indiana, Illinois and Kentucky. The company lists 515 MW across its Northern VA Ashburn properties, another 900 MW at its PH 95 development in Spotsylvania, 1.35 GW in Carlisle, Pennsylvania, 1.8 GW at Joliet, Illinois, and substantial campuses across multiple Texas and Indiana locations. The various projects do a good job of illustrating how the definition of a hyperscale development site is changing. At PowerHouse Arcola in Loudoun County, Virginia, PowerHouse announced a long-term hyperscale lease earlier this year. The 37-acre campus includes two planned data center buildings totaling approximately 615,000 square feet and is designed for up to 120 MW of utility capacity. PowerHouse emphasizes not only the buildings but the campus’s on-site substation, fiber access, power security and support for high-density GPU and liquid-cooled deployments. In Texas, it might be that everything really is bigger, and PowerHouse’s Grand Prairie development covers approximately 810 acres and 8.5 million developable square feet. Its project page cites maximum utility power of 1.8 GW and a development schedule extending through 2029 and beyond. The Texas development plans also include a proposed Circle T campus in Westlake outside Fort Worth, which calls for as many as four roughly 300,000-square-foot facilities totaling approximately 300 MW. According to reporting on local filings, PowerHouse has funded a 350-MW Oncor substation intended to serve the campus and the town’s pump station. The company’s development in

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AI Is Turning Energy Storage Into Active Power Infrastructure

AI Turns the Power Problem Into a Transient Problem At the heart of the issue is the changing behavior of the IT load. In a conventional data center, DeLattre said, large numbers of independent loads create a relatively predictable electrical profile. AI clusters introduce much greater synchronization. As GPUs begin processing a common workload, large numbers of accelerators can increase their power consumption simultaneously. Instead of asking the electrical infrastructure to serve a relatively smooth load, the facility can experience fast power pulses moving through the system. Hybrid supercapacitors are intended to act as a buffer between that dynamic compute load and the infrastructure supplying it. During an upward transient, storage provides some of the incremental power demanded by the IT load. When demand falls, the storage system recharges. The objective is not to create additional energy. It is to keep every upstream component — from the UPS to generators and ultimately the utility connection — from having to respond directly to every rapid change taking place inside the AI cluster. From the perspective of the upstream power source, DeLattre said, the goal is to make a highly dynamic AI load appear significantly smoother. That distinction between energy and power is central to Musashi’s argument for hybrid supercapacitors. A conventional supercapacitor, also known as an electric double-layer capacitor, can deliver very high power almost instantly but stores relatively little energy. A lithium-ion battery can store considerably more energy, but DeLattre argues that it is less suited to being aggressively charged and discharged tens or hundreds of thousands of times. Musashi’s hybrid technology uses a capacitor architecture with a lithium-doped graphite electrode intended to increase energy density while preserving the fast response and high cycling capability associated with capacitors. DeLattre reduces the distinction to a simple formulation. “Batteries are very good

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AI Infrastructure’s Next Phase: Capital, Power and the Right to Build

Capital Is Becoming Infrastructure Samsung’s $1 billion commitment to Helix Digital Infrastructure offered one of the clearest examples yet of how the capital structure surrounding AI data centers is changing. Helix was formed by KKR as an AI infrastructure platform with more than $10 billion already committed by founding investors including KKR, the Kuwait Investment Authority, NVIDIA and Vistra. Samsung’s new commitment pushes that capital base still higher. But the composition of the partnership may be more significant than another billion dollars being added to the AI infrastructure ledger. Helix is intended to invest across hyperscale data centers, power generation and transmission, fiber and other connectivity infrastructure. Samsung, meanwhile, brings capabilities extending across advanced technology, construction, energy storage and cooling. This is not simply capital chasing data center returns. It increasingly resembles an attempt to assemble the data center, energy and technology supply chain inside a single investment ecosystem. That distinction is important, because one of the defining problems of the current buildout is that capital by itself does not produce capacity. Billions of dollars can be committed long before transformers arrive, transmission is constructed, generation is secured or a campus is commissioned. The increasingly valuable infrastructure platform is therefore the one capable of controlling more of those dependencies. Lambda demonstrated another side of that evolution last week with the closing of a $1.008 billion delayed-draw term loan supporting three committed customer deployments across multiple data centers. The financing received investment-grade ratings from Morningstar DBRS and Moody’s and carries a 6.78% fixed interest rate. More importantly, it is secured by both the GPU infrastructure being financed and contracted cash flows from two investment-grade customers. Capital is drawn as infrastructure reaches commissioning milestones rather than simply being handed to Lambda upfront. That begins to make AI compute look less like speculative

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Micro data center company rolls out stackable data center for edge and AI

Stack runs on Zella Sense, a monitoring, control, and automation layer built into every Zella DC cabinet. It tracks power, cooling, servers, and suspicious activity, while monitoring things like temperature, humidity, smoke, motion, water, and doors through sensors. The system runs over SNMP, Modbus, and a full API, with email alerting and local, LDAP, RADIUS, or TACACS+ authentication. That means an edge location can be remotely monitored without requiring local staff. It also comes with access control and fire protection. Zella Stack is an indoor-only offering. Zella DC sells Zella Outback as its standalone, ruggedized outdoor micro data center, and the company says an outdoor version of Stack is planned for the second half of 2027.

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Data Center Jobs: Engineering, Construction, Commissioning, Sales, Field Service and Facility Tech Jobs Available in Major Data Center Hotspots

Each month Data Center Frontier, in partnership with Pkaza, posts some of the hottest data center career opportunities in the market. Here’s a look at some of the latest data center jobs posted on the Data Center Frontier jobs board, powered by Pkaza Critical Facilities Recruiting. Looking for Data Center Candidates? Check out Pkaza’s Active Candidate / Featured Candidate Hotlist  Lead Mechanical Engineer – Data Center DesignNew York, NY/Remote This position is also available in: Denver, CO; Indianapolis, IN; Cedar Rapids, IA; Austin, TX; White Plains, NY; Dallas, TX; Richmond, VA; Ashburn, VA; Charlotte, NC; Atlanta, GA; Phoenix, AZ; Salt Lake City, UT; Kansas City, MO; Chicago, IL; Los Angeles, CA or San Jose, CA. Our client is a leading engineering design and commissioning company that is a subject matter expert in the data center space. They will provide design coordination and construction administration, consulting and management support for the data center / mission critical facilities space with the mindset to provide reliability, energy efficiency, and sustainable design expertise when providing these consulting services for enterprise, colocation and hyperscale companies. This career-growth minded opportunity offers exciting projects with leading-edge technology and innovation as well as competitive salaries and benefits. Electrical Commissioning Agent – Data Centers Austin, TX (limited travel) Non-Traveling CxA positions available in: Indianapolis, IN; Cedar Rapids, IA; Phoenix, AZ and Columbus, OH. Traveling CxA based near any major airport, otherwise traveling to: New York, NY; White Plains, NY; Dallas, TX; Richmond, VA; Montvale, NJ; Charlotte, NC; Salt Lake City, UT; Kansas City, MO; Chesterton, IN or Chicago, IL. ***Also looking for a Lead EE and ME CxA Agents and CxA PMs. *** This opportunity is with a leading EPC company of data center design / build / commissioning solutions. This company provides a complete life cycle of solutions that are custom-fit

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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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