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BITF Double-downs On PJM with SDIG Acquisition + Babylon Staking Tx Fee Spike

W34 ’24 | 8.19-8.25 | Issue XCIV | Block Height 858432 Welcome to the latest issue of the Vibe Check, your weekly source at the intersection of Bitcoin, Energy, and Bitcoin Mining. Grab a ☕ and start the week with all the metrics and stories that shake and bake the Bitcoin Mining industry. Subscribe and […]

W34 ’24 | 8.19-8.25 | Issue XCIV | Block Height 858432

Welcome to the latest issue of the Vibe Check, your weekly source at the intersection of Bitcoin, Energy, and Bitcoin Mining.

Grab a ☕ and start the week with all the metrics and stories that shake and bake the Bitcoin Mining industry.

Subscribe and share with your friends, colleagues, and family!


W34 ‘24 Vibe Check

  • The Overview Vibe

  • Weekly Industry Metrics

  • Headlines & News

  • The Media Vibe

  • Energy Corner

  • The Meme Vibe


The Ohio Blockchain Council is running it back this year with AMPLIFY on Oct 3rd in Columbus, Ohio. Join leaders from the Ohio Bitcoin mining, energy, and digital infrastructure sectors for a day of education, networking, and opportunity! Get your Tickets HERE and use “VibeCheck” for 21% off. For speaking or sponsorship opportunities, reach out to [email protected].


The Overview Vibe

With the Fed projecting rate cuts this fall, Bitcoin stepped up to 7%+ to ~$64K this week. Hashprice tracked BTC price up to ~$47/PH/Day within this inter-epoch difficulty adjustment week. Even though hashrate marginally rose, miners will not catch their breath with the 4% upward difficulty adjustment projected early next week. With ERCOT reaching an all-time high this week, flexible load did its thing this week and helped keep Texans cool.

With 94% of all Bitcoin ever issued now mined, transaction fee discussions heat every time there is a spike. After weeks of decreasing fees (SHOUT OUT TO ALL UTXO CONSOLIDATORS), the Babylon staking debut on mainnet, transaction fees 200%+ of the blocksize reward over 18 hours on TH night. Hashprice briefly tagged $54/PH/Day before it all came down before the weekend. It’s a story as old as time, but I am sure miners didn’t hate the extra sats!

Across the mining space, “Always the Bridesmaid, Never the Bride” in going public terms, Texas-based Rhodium filed chapter 11 after weeks of “distressed” rumors. With the identity of creditors soon to come to light, it will be interesting how the sector engages with one of the last, if not the last levered-up miners from the last cycle. With a couple of large immersion sites across central Texas, I can imagine both HPC developers and BTC miners will keep their eye on these power+land assets.

The biggest news of the week was Bitfarms (BITF) doubling down on the PJM ISO with the acquisition of Stronghold Digital (SDIG) (see news section). Two months after announcing its entry into Pennslayvia, BITF expanded its PJM power footprint to 950 MW+ with this all-stock transaction. SDIG has been positioning for sale after the halvening, looking to land its 160 MW+ of waste coal power generation and data centers with a growth-seeking peer.

While some Twitter commentators call the deal expensive, it is clear that vertical integration and interconnection access are the best way to develop BITF’s HPC/BTC strategy while fending off the existing takeover efforts by Riot Platforms. Congrats to everyone involved on getting the deal across the line! I am excited to see large flexible load growth in the country’s largest ISO. Could this be the catalyst to get the M&A party started…or will we have to wait until Q1 for teams to eventually realize there is no way out outside of consolidation? Vamos a ver!

I hope everyone had a great weekend as we head into LABOR DAY WEEKEND VIBES!!!! You best call your mom, stay hydrated, and share the Vibe Check with at least 3 homies this week. Much love y’all!


Bitcoin/Mining Metrics

  • BTC price2: ~$64,066.94 @ EOW. +7.09% WOW.

  • Hash price1: $47.18 PH/Day @ EOW. +7.62% WOW.

  • Network Hashrate (SMA 7 Day)1: ~651 EH/s @ EOW. +0.62% WOW. 

  • Difficulty1: 86.87 T @ EOW. 0.00% WOW.

  • ASIC Retail Price (s19/m30 family)1: $6.38/TH/s @ EOW. 0.00% WOW.

Sources: Hashrate Index1, Bitbo2

Weekly Hashprice – Block Height 858418 – Hashrate Index

Weekly Hashprice – Block Height 858418 – Hashrate Index

Mempool Stats – Block Height 858418 – mempool.space

Mining Stats – Block Height 858418 – mempool.space

Headlines & News

Featured

  • Bitcoin Mining Opportunity Is Worth About $74B, JPMorgan Says – CoinDesk.

  • Bitfarms to Acquire Stronghold Digital Mining – Press Release, Presentation, Prepared Remarks

  • Bitcoin Fees Spike Amid Babylon Staking Mainnet Launch – TheMinerMag.

  • Crypto industry accounts for almost half of corporate donations in 2024 election, report says – CNBC.

  • FERC rejects Basin Electric’s cryptocurrency mining rate proposal – UtilityDrive.

General PubCo Updates

Capital Markets & M&A

  • Riot Nears 20% in Bitfarms, Close to Trigger ‘Poison Pill’ – TheMinerMag.

  • Gryphon Acquires Ultra Low-Cost Power Mining Operations at ~$0.01/kWh – Press Release.

Regulatory/Legal Updates

  • Bitcoin Miner Greenidge Sues NY Regulator over Permit Renewal – TheMinerMag.

  • Malaysian Police Steamroll 985 Bitcoin Miners Again in Power Theft Crackdown – TheMinerMag.

  • National Power Administration of Paraguay Seizes 693 Miners in Illegal Bitcoin Mining Operation – Bitcoin.ComNews.

  • Bitcoin miner Rhodium files for Chapter 11 in the Texas Southern Bankruptcy Court – TheMiningPod.

Research/Reports/Newsletters


The Media Vibe


Energy Corner


The Meme Vibe


Subscribe and keep your eye out for the development of the Vibe Check throughout 2024!

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Stay ahead with more perspectives on cutting-edge power, infrastructure, energy,  bitcoin and AI solutions. Explore these articles to uncover strategies and insights shaping the future of industries.

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AWS stealthily raises GPU prices by 15 percent

Amazon Web Services (AWS) raised the prices of its GPU instances for machine learning by around 15 percent this weekend, without warning, reports The Register. The price increase applies in particular to EC2 Capacity Blocks for ML, where, for example, the cost of the p5e.48xlarge instance rose from $ 34.61

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Nodal Hits Record Annual Volumes in Power, Environmental Markets

Nodal Exchange LLC, a derivatives trading platform for North American commodity markets, saw 3.1 billion megawatt hours (MWh) of power futures and 749,222 lots of environmental futures and options traded in 2025, achieving new annual highs. Power futures traded last year on the Tysons, Virginia-based exchange rose four percent year-on-year to 3.1 billion MWh. The December volume of 235 million MWh was up 29 percent from December 2024, Nodal said in an online statement Thursday. “Nodal continues to be the market leader in North American monthly power futures having 56 percent of the open interest with 1.51 billion MWh at the end of 2025”, Nodal said. “The open interest represents over $166 billion of notional value (both sides)”. Meanwhile environmental market open interest ended 2025 at a record 391,264 lots, up one percent from 2024. “December deliveries of 37,173 lots marked the fifth-largest delivery month for environmental products on Nodal”, Nodal said. “Renewable energy certificate futures and options posted volume of 465,189 lots in 2025, up 11 percent from a year earlier and ended the year with open interest of 323,591 lots, up 10 percent. “Nodal continues to expand environmental offerings having over 68 percent of the North American Renewable Energy Certificate market measured in clean MWh generation. “Nodal, in collaboration with IncubEx, launched several new environmental futures contracts in 2025, including Auction Clearing Price contracts for California, Washington and RGGI carbon allowances.  Nodal was the first exchange to launch PJM Emission Free Energy Certificate Futures, which allow for delivery of nuclear energy certificates alongside hydro. Other new launches included Virginia In-State Compliance REC Futures, New York Environmental Disclosure Program REC Futures and Alberta TIER EPC Options”. For natural gas, traded volumes last year totaled 958 trillion British thermal units (TBtu), Nodal said. Traded gas volumes in January-November 2025 reached a

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30 Pct of Oil Reserves Might be Consolidated Under US Influence

Around 30 percent of global oil reserves might be consolidated under U.S. influence. That’s what J.P. Morgan analysts, including the company’s head of global commodities strategy Natasha Kaneva, stated in a J.P. Morgan research note sent to Rigzone by Kaneva this week. “Combined oil reserves from Venezuela, Guyana, and the U.S. could give the U.S. about 30 percent of global oil reserves if consolidated under its influence,” the analysts said in the note. The J.P. Morgan analysts highlighted in the research note that Venezuela holds the world’s largest oil reserves, “particularly heavy crude needed by U.S. refiners”. “With 303 billion barrels of proven crude oil reserves, Venezuela represents nearly 20 percent of global reserves as of 2024 – more than any other country,” they pointed out. “If Guyana’s rapidly expanding discoveries are considered alongside U.S. conventional and unconventional reserves, the combined total could position the U.S. as a leading holder of global oil reserves, potentially accounting for about 30 percent of the world’s total if these figures are consolidated under U.S. influence,” they added. The analysts stated in the note that this would mark a notable shift in global energy dynamics. “With greater access to and influence over a substantial portion of global reserves, the U.S. could potentially exert more control over oil market trends, helping to stabilize prices and keep them within historically lower ranges,” the analysts said. “This increased leverage would not only enhance U.S. energy security but could also reshape the balance of power in international energy markets,” they added. In the note, the J.P. Morgan analysts revealed that they continue to maintain their view that “a regime change in Venezuela would immediately represent one of the largest upside risks to the global oil supply outlook for 2026-2027 and beyond”. “With a political transition, Venezuela could raise

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Equinor Dishes Out Supplier Agreements Worth $10B

Equinor revealed, in a statement posted on its website on Thursday, that it has awarded 12 framework agreements to seven supplier companies with a total value of around NOK 100 billion ($9.9 billion). The company highlighted in the statement that these new framework agreements are for maintenance and modifications on the company’s offshore installations and onshore plants. The supplier companies comprise Aibel AS, Aker Solutions AS, Wood Group Norway, Apply AS, Rosenberg Worley AS, Head Energy AS, and IKM Gruppen AS, Equinor revealed. Agreements start in the first half of this year, have a duration of five years, and include extension options of three and two years, Equinor pointed out in its statement. The company noted that the final portfolio distribution will be assigned when the contracts are signed, which it revealed “is planned in week four”. “These agreements lay the foundation for safe and competitive operations at Equinor’s offshore installations and onshore plants in the years to come,” Equinor said in the statement. “The agreements create predictability and ripple effects for the Norwegian supplier industry across the country,” it added. In its statement, Equinor revealed that, “to support the ambition of maintaining production around 1.2 million barrels of oil equivalent per day (2020 level) on the Norwegian continental shelf towards 2035”, the company is planning a series of actions. These include investing “about NOK 60-70 billion” ($5.9 billion to $6.9 billion) annually in increased recovery and new fields on the Norwegian continental shelf, drilling “around 250 exploration wells and about 600 wells for increased recovery”, performing 300 well interventions annually and “around 2,500 modification projects”, and maturing and developing over 75 subsea developments that can be tied to existing infrastructure, the statement outlined. They also include reducing the company’s own greenhouse gas emissions towards nearly 50 percent by 2030,

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Iberdrola Ups Dividend after Reaching $146B Capitalization

Iberdrola SA on Thursday declared an interim dividend of EUR 0.253 ($0.29) per share for 2025 results, up from the minimum of EUR 0.25 it announced October. Earlier the Spanish power and gas utility said it reached EUR 125 billion ($145.55 billion) in stock market value at the start of 2026, having increased its capitalization by nearly 40 percent in 2025. “The company is once again offering its shareholders three options in this edition of Iberdrola Flexible Remuneration: to receive the interim dividend amount in cash; to sell their allocation rights on the market; or to obtain new bonus shares from the group free of charge”, it said in an online statement, adding the options can be combined. Shareholders who opt for cash are to receive the interim dividend February 2. “Shareholders who opt to receive new shares must have 73 free allocation rights to receive a new share in the company”, Iberdrola said. The dividend announced Thursday would be backed by a supplementary dividend Iberdrola plans to pay in July if approved at its general shareholders’ meeting, it said. “In order to implement this new edition of the remuneration system, a capital increase with a maximum reference market value of EUR 1.713 billion will be carried out”, it said. Iberdrola said Tuesday it is now the top utility in Europe by market capitalization and the second-biggest in the world. It noted the milestone was achieved in the year marking the 125th anniversary of its founding as Hidroeléctrica Ibérica. According to its latest quarterly report, Iberdrola produced 96,047 gigawatt hours (GWh) net in the first nine months of 2025, with renewable energy accounting for 66,254 GWh. Spain led geographically, accounting for 48,794 GWh of Iberdrola’s total net production in the period. It was followed by the United States (18,436 GWh). Mexico was

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Shell Expects Weak Oil Trading Result for Q4

Shell Plc said its oil trading performance worsened in the fourth quarter as crude prices slumped, adding to signs that Big Oil is heading into a tougher earnings season.  Oil trading results for the year’s final three months are “expected to be significantly lower” than the previous quarter, Shell said in an update on Thursday, ahead of an earnings report due early next month. At the company’s troubled chemicals division, a “significant loss” is expected. The update comes at a time when the oil market is lurching into an oversupply that could make for challenging trading conditions in the months ahead. The international benchmark Brent plunged 18 percent last year and has been largely unaffected by turmoil in Venezuela, where the country’s president Nicolás Maduro has been captured by US forces. It’s a “rough end to the year” for Shell, RBC Capital Markets analyst Biraj Borkhataria said Thursday in a note. He had expected “a relatively weak quarter, and this looks worse than expected.” Shell’s shares fell as much as 2.3 percent in early London trading. Shell’s massive in-house trading business deals in oil, gas, fuels, chemicals and renewable power – trading both the company’s own production as well as supply from third parties. The energy major doesn’t disclose separate results for its traders, but the performance is closely watched as it can be a key driver of earnings. A strong trading performance in the third quarter was one of the reasons Shell cited for earnings that beat estimates.  Since taking over the London-based energy giant three years ago, Chief Executive Officer Wael Sawan has sought to cut costs and offload under-performing assets to improve the company’s balance sheet. This is his first test in a lower oil-price environment that will pressure the firm’s ability to maintain its level of share buybacks. US rival Exxon Mobil

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National Grid Unveils New Plan for Anglo-Dutch Cable Link

National Grid PLC on Thursday announced route changes for the proposed LionLink cable to the Netherlands, a project with TenneT BV. The interconnector is designed to carry up to two gigawatts of wind electricity, enough for about 2.5 million British homes, according to National Grid. LionLink would connect a wind farm offshore the Netherlands to the Dutch and UK grids, with a targeted start of operation in 2032, National Grid says on the project webpage. The power transmission and distribution operator said in an online statement Thursday it would launch an eight-week public consultation for its new plan for the cable to start underground in Suffolk’s Walberswick, “a decision made following an assessment of the environment and local residents’ concerns around access constraints and traffic impacts”. “An alternative underground HVDC [high-voltage direct current] cable corridor to the north of Southwold was discounted following the consultations”, National Grid said. “NGV is also working closely with local authorities to ensure no construction takes place on the beach, and there is no visible infrastructure once the project is complete”, it added, referring to National Grid Ventures, its unit tasked with building and operating LionLink. “84 percent of the UK section of the LionLink cable will be offshore, and all onshore sections will be buried underground”. The new plan was based on non-statutory consultations in 2022 and 2023, LionLink project director Gareth Burden said. “We are coordinating with other developers in Suffolk on a regular basis so that where possible, we can work together to ensure construction is carried out in manageable sections, and we can avoid long-term disruption in any one area”, Burden added. National Grid noted, “LionLink is set to be one of the first projects of its kind, helping to shape the future of offshore renewable energy by combining wind generation and

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JLL’s 2026 Global Data Center Outlook: Navigating the AI Supercycle, Power Scarcity and Structural Market Transformation

Sovereign AI and National Infrastructure Policy JLL frames artificial intelligence infrastructure as an emerging national strategic asset, with sovereign AI initiatives representing an estimated $8 billion in cumulative capital expenditure by 2030. While modest relative to hyperscale investment totals, this segment carries outsized strategic importance. Data localization mandates, evolving AI regulation, and national security considerations are increasingly driving governments to prioritize domestic compute capacity, often with pricing premiums reaching as high as 60%. Examples cited across Europe, the Middle East, North America, and Asia underscore a consistent pattern: digital sovereignty is no longer an abstract policy goal, but a concrete driver of data center siting, ownership structures, and financing models. In practice, sovereign AI initiatives are accelerating demand for locally controlled infrastructure, influencing where capital is deployed and how assets are underwritten. For developers and investors, this shift introduces a distinct set of considerations. Sovereign projects tend to favor jurisdictional alignment, long-term tenancy, and enhanced security requirements, while also benefiting from regulatory tailwinds and, in some cases, direct state involvement. As AI capabilities become more tightly linked to economic competitiveness and national resilience, policy-driven demand is likely to remain a durable (if specialized) component of global data center growth. Energy and Sustainability as the Central Constraint Energy availability emerges as the report’s dominant structural constraint. In many major markets, average grid interconnection timelines now extend beyond four years, effectively decoupling data center development schedules from traditional utility planning cycles. As a result, operators are increasingly pursuing alternative energy strategies to maintain project momentum, including: Behind-the-meter generation Expanded use of natural gas, particularly in the United States Private-wire renewable energy projects Battery energy storage systems (BESS) JLL points to declining battery costs, seen falling below $90 per kilowatt-hour in select deployments, as a meaningful enabler of grid flexibility, renewable firming, and

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SoftBank, DigitalBridge, and Stargate: The Next Phase of OpenAI’s Infrastructure Strategy

OpenAI framed Stargate as an AI infrastructure platform; a mechanism to secure long-duration, frontier-scale compute across both training and inference by coordinating capital, land, power, and supply chain with major partners. When OpenAI announced Stargate in January 2025, the headline commitment was explicit: an intention to invest up to $500 billion over four to five years to build new AI infrastructure in the U.S., with $100 billion targeted for near-term deployment. The strategic backdrop in 2025 was straightforward. OpenAI’s model roadmap—larger models, more agents, expanded multimodality, and rising enterprise workloads—was driving a compute curve increasingly difficult to satisfy through conventional cloud procurement alone. Stargate emerged as a form of “control plane” for: Capacity ownership and priority access, rather than simply renting GPUs. Power-first site selection, encompassing grid interconnects, generation, water access, and permitting. A broader partner ecosystem beyond Microsoft, while still maintaining a working relationship with Microsoft for cloud capacity where appropriate. 2025 Progress: From Launch to Portfolio Buildout January 2025: Stargate Launches as a National-Scale Initiative OpenAI publicly launched Project Stargate on Jan. 21, 2025, positioning it as a national-scale AI infrastructure initiative. At this early stage, the work was less about construction and more about establishing governance, aligning partners, and shaping a public narrative in which compute was framed as “industrial policy meets real estate meets energy,” rather than simply an exercise in buying more GPUs. July 2025: Oracle Partnership Anchors a 4.5-GW Capacity Step On July 22, 2025, OpenAI announced that Stargate had advanced through a partnership with Oracle to develop 4.5 gigawatts of additional U.S. data center capacity. The scale of the commitment marked a clear transition from conceptual ambition to site- and megawatt-level planning. A figure of this magnitude reshaped the narrative. At 4.5 GW, Stargate forced alignment across transformers, transmission upgrades, switchgear, long-lead cooling

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Lenovo unveils purpose-built AI inferencing servers

There is also the Lenovo ThinkSystem SR650i, which offers high-density GPU computing power for faster AI inference and is intended for easy installation in existing data centers to work with existing systems. Finally, there is the Lenovo ThinkEdge SE455i for smaller, edge locations such as retail outlets, telecom sites, and industrial facilities. Its compact design allows for low-latency AI inference close to where data is generated and is rugged enough to operate in temperatures ranging from -5°C to 55°C. All of the servers include Lenovo’s Neptune air- and liquid-cooling technology and are available through the TruScale pay-as-you-go pricing model. In addition to the new hardware, Lenovo introduced new AI Advisory Services with AI Factory Integration. This service gives access to professionals for identifying, deploying, and managing best-fit AI Inferencing servers. It also launched Premier Support Plus, a service that gives professional assistance in data center management, freeing up IT resources for more important projects.

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Samsung warns of memory shortages driving industry-wide price surge in 2026

SK Hynix reported during its October earnings call that its HBM, DRAM, and NAND capacity is “essentially sold out” for 2026, while Micron recently exited the consumer memory market entirely to focus on enterprise and AI customers. Enterprise hardware costs surge The supply constraints have translated directly into sharp price increases across enterprise hardware. Samsung raised prices for 32GB DDR5 modules to $239 from $149 in September, a 60% increase, while contract pricing for DDR5 has surged more than 100%, reaching $19.50 per unit compared to around $7 earlier in 2025. DRAM prices have already risen approximately 50% year to date and are expected to climb another 30% in Q4 2025, followed by an additional 20% in early 2026, according to Counterpoint Research. The firm projected that DDR5 64GB RDIMM modules, widely used in enterprise data centers, could cost twice as much by the end of 2026 as they did in early 2025. Gartner forecast DRAM prices to increase by 47% in 2026 due to significant undersupply in both traditional and legacy DRAM markets, Chauhan said. Procurement leverage shifts to hyperscalers The pricing pressures and supply constraints are reshaping the power dynamics in enterprise procurement. For enterprise procurement, supplier size no longer guarantees stability. “As supply becomes more contested in 2026, procurement leverage will hinge less on volume and more on strategic alignment,” Rawat said. Hyperscale cloud providers secure supply through long-term commitments, capacity reservations, and direct fab investments, obtaining lower costs and assured availability. Mid-market firms rely on shorter contracts and spot sourcing, competing for residual capacity after large buyers claim priority supply.

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Eight Trends That Will Shape the Data Center Industry in 2026

For much of the past decade, the data center industry has been able to speak in broad strokes. Growth was strong. Demand was durable. Power was assumed to arrive eventually. And “the data center” could still be discussed as a single, increasingly important, but largely invisible, piece of digital infrastructure. That era is ending. As the industry heads into 2026, the dominant forces shaping data center development are no longer additive. They are interlocking and increasingly unforgiving. AI drives density. Density drives cooling. Cooling and density drive power. Power drives site selection, timelines, capital structure, and public response. And once those forces converge, they pull the industry into places it has not always had to operate comfortably: utility planning rooms, regulatory hearings, capital committee debates, and community negotiations. The throughline of this year’s forecast is clarity: Clarity about workload classes. Clarity about physics. Clarity about risk. And clarity about where the industry’s assumptions may no longer hold. One of the most important shifts entering 2026 is that it may increasingly no longer be accurate, or useful, to talk about “data centers” as a single category. What public discourse often lumps together now conceals two very different realities: AI factories built around sustained, power-dense GPU utilization, and general-purpose data centers supporting a far more elastic mix of cloud, enterprise, storage, and interconnection workloads. That distinction is no longer academic. It is shaping how projects are financed, how power is delivered, how facilities are cooled, and how communities respond. It’s also worth qualifying a line we’ve used before, and still stand by in spirit: that every data center is becoming an AI data center. In 2026, we feel that statement is best understood more as a trajectory, and less a design brief. AI is now embedded across the data center stack: in

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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 Data Center Facility Technician (All Shifts Available)Impact, TX This position is also available in: Ashburn, VA; Abilene, TX; Needham, MA; Lyndhurst, NJ; Philadelphia, PA; Atlantic City, NJ or New York, NY. Navy Nuke / Military Vets leaving service accepted!  This opportunity is working with a leading mission-critical data center provider. This firm provides data center solutions custom-fit to the requirements of their client’s mission-critical operational facilities. They provide reliability of mission-critical facilities for many of the world’s largest organizations facilities supporting enterprise clients, colo providers and hyperscale companies. This opportunity provides a career-growth minded role with exciting projects with leading-edge technology and innovation as well as competitive salaries and benefits. Electrical Commissioning EngineerAshburn, VA This traveling position is also available in: New York, NY; White Plains, NY;  Richmond, VA; Montvale, NJ; Charlotte, NC; Atlanta, GA; Hampton, GA; New Albany, OH; Cedar Rapids, IA; Phoenix, AZ; Salt Lake City, UT; Dallas, TX or Chicago, IL. *** ALSO looking for a LEAD EE and ME CxA Agents and CxA PMs *** Our client is an engineering design and commissioning company that has a national footprint and specializes in MEP critical facilities design. They provide design, commissioning, consulting and management expertise in the critical facilities space. They have a mindset to provide reliability, energy efficiency, sustainable design and LEED 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

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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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