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Standard Chartered Offers OPEC+ Meeting Prediction

In a report sent to Rigzone by the Standard Chartered team on Wednesday, Emily Ashford, Head of Energy Research at Standard Chartered Bank, offered a prediction for OPEC+’s next meeting, which is scheduled to be held on November 2. “OPEC+ [is] likely to continue [a] gradual unwinding of cuts, adding a further 137,000 barrels per […]

In a report sent to Rigzone by the Standard Chartered team on Wednesday, Emily Ashford, Head of Energy Research at Standard Chartered Bank, offered a prediction for OPEC+’s next meeting, which is scheduled to be held on November 2.

“OPEC+ [is] likely to continue [a] gradual unwinding of cuts, adding a further 137,000 barrels per day month on month at [the] November 2 meeting,” Ashford said in the report.

“We see no reason for a change in strategy this month. The week on week change in the shape of the Brent forward curve and Russia-based market supply concerns are supportive of OPEC+ continuing its small monthly unwind of the April 2023 voluntary output cuts,” Ashford added.

In the report, Ashford highlighted that, “just one week ago”, the company “might have suggested that any decision at this meeting by OPEC+ could be considered with a bearish tint”.

“Continuing to add barrels slowly back to the market via the 137,000 barrel per day increase mechanism could have been reported as adding barrels to a market under pressure from poor sentiment, and concerns over impending surpluses,” Ashford said.

“A pause in the process could have suggested that OPEC+ did not view the market as healthy enough to add barrels, given its repeated commentary that it remains responsive to the global economic outlook and market fundamentals,” the head of energy research added.

Ashford went on to state in the report that Standard Chartered Bank expects the group’s next meeting “to continue the trend of rapid decisions, with the communiqué focusing on the group’s ability to pause or reverse the additional adjustments, including the previous November 2023 tranche of 2.2 million barrels per day”.

“Given the price change over the past week, increased supply pressure, and – most critically – the adjustment in the shape of the forward curve week on week (which has changed from a strong contango from early 2026 onwards, to steep backwardation in the front months, flat through 2026 before a milder contango from early 2027), we see no reason for OPEC+ to adjust strategy at this meeting,” Ashford continued.

The Standard Chartered report projected that the ICE Brent nearby future crude oil price will average $65 per barrel in the fourth quarter of this year and $68.50 per barrel overall in 2025.

In a market analysis sent to Rigzone on Tuesday, Konstantinos Chrysikos, Head of Customer Relationship Management at Kudotrade, noted that “traders could focus on Sunday’s OPEC+ meeting, where the group could lean toward a modest output increase for December of around 137,000 barrels per day”.

“A larger increase could weigh on prices further and exacerbate the market’s decline,” Chrysikos warned in that analysis.

Rigzone has contacted OPEC for comment on the Standard Chartered report and the analysis from Chrysikos. At the time of writing, OPEC has not responded to Rigzone.

A statement posted on OPEC’s website on October 5 revealed that Saudi Arabia, Russia, Iraq, the United Arab Emirates (UAE), Kuwait, Kazakhstan, Algeria, and Oman “decided to implement a production adjustment of 137,000 barrels per day” in a virtual meeting held that day.

“The eight OPEC+ countries, which previously announced additional voluntary adjustments in April and November 2023, namely Saudi Arabia, Russia, Iraq, UAE, Kuwait, Kazakhstan, Algeria, and Oman met virtually on 5 October 2025, to review global market conditions and outlook,” the statement noted.

“In view of a steady global economic outlook and current healthy market fundamentals, as reflected in the low oil inventories, the eight participating countries decided to implement a production adjustment of 137,000 barrels per day from the 1.65 million barrels per day additional voluntary adjustments announced in April 2023,” it added.

The statement highlighted that this adjustment will be implemented in November. According to a table accompanying the statement, Saudi Arabia and Russia’s adjustment amounts to 41,000 barrels per day, each. Iraq’s comes to 18,000 barrels per day, the UAE’s is 12,000 barrels per day, Kuwait’s is 10,000 barrels per day, Kazakhstan’s is 7,000 barrels per day, Algeria’s is 4,000 barrels per day, and Oman’s is 4,000 barrels per day, the table outlined.

The table highlighted that November 2025 “required production” is 10.061 million barrels per day for Saudi Arabia, 9.532 million barrels per day for Russia, 4.255 million barrels per day for Iraq, 3.399 million barrels per day for the UAE, 2.569 million barrels per day for Kuwait, 1.563 million barrels per day for Kazakhstan, 967,000 barrels per day for Algeria, and 808,000 barrels per day for Oman.

“The 1.65 million barrels per day may be returned in part or in full subject to evolving market conditions and in a gradual manner,” the OPEC statement said.

“The countries will continue to closely monitor and assess market conditions, and in their continuous efforts to support market stability, they reaffirmed the importance of adopting a cautious approach and retaining full flexibility to pause or reverse the additional voluntary production adjustments, including the previously implemented voluntary adjustments of the 2.2 million barrels per day announced in November 2023,” it added.

“The eight OPEC+ countries also noted that this measure will provide an opportunity for the participating countries to accelerate their compensation. The eight countries reiterated their collective commitment to achieve full conformity with the Declaration of Cooperation, including the additional voluntary production adjustments that will be monitored by the Joint Ministerial Monitoring Committee,” it continued.

“They also confirmed their intention to fully compensate for any overproduced volume since January 2024,” it went on to state.

The OPEC statement also highlighted that the eight OPEC+ countries will hold monthly meetings “to review market conditions, conformity, and compensation”. It added that the eight countries will meet again on November 2.

A statement posted on OPEC’s X page on October 28 announced that OPEC’s 170th Board of Governors Meeting had begun under the chairmanship of Nigeria’s OPEC Governor and Chairman of the Board, Ademola Adeyemi-Bero.

“During the two-day meeting, the Organization’s financial, administrative, and strategic affairs will be examined,” that statement noted.

In a release posted on the U.S. Department of the Treasury website on October 22, U.S. Treasury Secretary Scott Bessent announced that the Treasury “is sanctioning Russia’s two largest oil companies that fund the Kremlin’s war machine”. In that release, the Treasury noted that “today’s actions increase pressure on Russia’s energy sector and degrade the Kremlin’s ability to raise revenue for its war machine and support its weakened economy”.

According to a post on the official X account of the Ministry of Foreign Affairs of Russia on October 23, Russian President Vladimir Putin said, “sanctions will NOT significantly affect our economic well-being”.

“Russia’s energy sector remains stable & confident. Our contribution to global energy balance is substantial. Disrupting this balance is not in the interest of the world,” he added.

To contact the author, email [email protected]

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IBM won’t sell VMware to new cloud customers

“Things are pretty straightforward for the managed cloud option — there are two obvious choices. Companies can go with IBM and Red Hat, or choose VMware,” he said, noting that while the company has been a big VMware reseller, “IBM had to ask themselves, ‘How are we going to compete

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Wild Moose emerges from stealth mode with site reliability platform

The startup designed its architecture to meet enterprise-grade security requirements. The platform is SOC 2–compliant, processes all data in memory, and doesn’t store customer logs or telemetry. That approach, the company says, allows adoption even in highly regulated industries where data control is critical. The company says the transparency is

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USA Crude Oil Stocks Drop Almost 7MM Barrels WoW

In its latest weekly petroleum status report, the U.S. Energy Information Administration (EIA) highlighted that U.S. commercial crude oil inventories, excluding those in the Strategic Petroleum Reserve (SPR), decreased by 6.9 million barrels from the week ending October 17 to the week ending October 24. This EIA report, which was released on October 29 and included data for the week ending October 24, showed that crude oil stocks, not including the SPR, stood at 416.0 million barrels on October 24, 422.8 million barrels on October 17, and 425.5 million barrels on October 25, 2024. The report highlighted that data may not add up to totals due to independent rounding. Crude oil in the SPR stood at 409.1 million barrels on October 24, 408.6 million barrels on October 17, and 385.8 million barrels on October 25, 2024, the report highlighted. Total petroleum stocks – including crude oil, total motor gasoline, fuel ethanol, kerosene type jet fuel, distillate fuel oil, residual fuel oil, propane/propylene, and other oils – stood at 1.677 billion barrels on October 24, the report revealed. Total petroleum stocks were down 15.4 million barrels week on week and up 43.6 million barrels year on year, the report showed. “At 416.0 million barrels, U.S. crude oil inventories are about six percent below the five year average for this time of year,” the EIA said in its latest weekly petroleum status report. “Total motor gasoline inventories decreased by 5.9 million barrels from last week and are about three percent below the five year average for this time of year. Both finished gasoline and blending components inventories decreased last week,” it added. “Distillate fuel inventories decreased by 3.4 million barrels last week and are about eight percent below the five year average for this time of year. Propane/propylene inventories increased by 2.5

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Shell Beats Profit Estimates

Shell Plc beat profit estimates and maintained share buybacks while paying down debt, showing its resilience to weaker oil prices. The third-quarter performance was helped by stronger oil and gas trading, a vital part of the business that struggled earlier in the year amid geopolitical volatility. An expansion in Shell’s liquefied natural gas business after the startup of a new project in Canada also contributed to the positive outlook.  The strength of Shell’s balance sheet — with net-debt falling from the prior quarter — has positioned the company to maintain consistent returns to investors even as oil prices have fallen. Following years of wide fluctuations, the company’s results have reached the point of “boring” consistency for some analysts. Chief Executive Officer Wael Sawan has been on a two-year push to cut costs, improve reliability and offload under-performing assets in an effort to close a valuation gap with the company’s US rivals. Shell’s shares have risen 16% in London since the start of 2025, outperforming its closest peers.  “Shell delivered another strong set of results, with clear progress across our portfolio and excellent performance in our marketing business and deepwater assets in the Gulf of America and Brazil,” Sawan said in a statement on Thursday.  The company maintained its pace of share buybacks at $3.5 billion a quarter. Adjusted third-quarter net income dropped about 10% from a year earlier to $5.43 billion, but was well above the average analyst estimate of $4.74 billion. Net debt declined to $41.2 billion from $43.2 billion at the end of June. Shares of the company were little changed.  After years of outsized profits as demand roared back following the pandemic, the world’s largest energy producers are facing leaner times with crude prices having dropped about 14% this year. Oil market fundamentals point to an oversupply

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DOE Announces New Team Up ‘to Build Largest DOE AI Supercomputer’

The U.S. Department of Energy (DOE) announced, in a statement posted on its site this week, a new partnership with NVIDIA and Oracle “to build [the] largest DOE AI supercomputer”. “The U.S. Department of Energy, Argonne National Laboratory, NVIDIA and Oracle … announced a landmark public-private partnership to deliver the DOE’s largest AI supercomputer and accelerate scientific discovery,” the DOE said in the statement, adding that the partnership will “immediately deliver world-class AI computing resources to DOE researchers while simultaneously building two next-generation AI supercomputing systems at Argonne National Laboratory”. In its statement, the DOE highlighted that the announcement is “in accordance” with U.S. President Donald Trump’s Executive Orders titled Accelerating Federal Permitting of Data Center Infrastructure and Removing Barriers to American Leadership in Artificial Intelligence. The DOE noted in its statement that the Solstice system will feature 100,000 NVIDIA Blackwell GPUs and said it will be the largest AI supercomputer in the DOE’s lab complex. Another system, called Equinox, will feature 10,000 NVIDIA Blackwell GPUs, the DOE added. “Construction at the Argonne Leadership Computing Facility will immediately begin for the Equinox system,” the DOE pointed out in the statement, revealing that it is expected to be delivered in 2026. “These AI systems will be seamlessly connected with DOE’s vast network of scientific instruments and data assets to address some of the nation’s most pressing challenges in energy, security, and discovery science,” it added. The DOE went on to state that, as part of the partnership, Oracle will also immediately provide DOE with access to AI computing resources that use a combination of NVIDIA Hopper and Blackwell architectures. “Scientists from Argonne and across the country will have access to new AI capabilities to drive technological leadership for science and energy applications,” the DOE said. In the statement, U.S. Energy Secretary Chris Wright

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Standard Chartered Offers OPEC+ Meeting Prediction

In a report sent to Rigzone by the Standard Chartered team on Wednesday, Emily Ashford, Head of Energy Research at Standard Chartered Bank, offered a prediction for OPEC+’s next meeting, which is scheduled to be held on November 2. “OPEC+ [is] likely to continue [a] gradual unwinding of cuts, adding a further 137,000 barrels per day month on month at [the] November 2 meeting,” Ashford said in the report. “We see no reason for a change in strategy this month. The week on week change in the shape of the Brent forward curve and Russia-based market supply concerns are supportive of OPEC+ continuing its small monthly unwind of the April 2023 voluntary output cuts,” Ashford added. In the report, Ashford highlighted that, “just one week ago”, the company “might have suggested that any decision at this meeting by OPEC+ could be considered with a bearish tint”. “Continuing to add barrels slowly back to the market via the 137,000 barrel per day increase mechanism could have been reported as adding barrels to a market under pressure from poor sentiment, and concerns over impending surpluses,” Ashford said. “A pause in the process could have suggested that OPEC+ did not view the market as healthy enough to add barrels, given its repeated commentary that it remains responsive to the global economic outlook and market fundamentals,” the head of energy research added. Ashford went on to state in the report that Standard Chartered Bank expects the group’s next meeting “to continue the trend of rapid decisions, with the communiqué focusing on the group’s ability to pause or reverse the additional adjustments, including the previous November 2023 tranche of 2.2 million barrels per day”. “Given the price change over the past week, increased supply pressure, and – most critically – the adjustment in the shape

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Oil Giants Plan Production Boost

(Update) October 29, 2025, 4:36 PM GMT: Updates with companies’ reporting schedule in seventh paragraph. The world’s biggest oil companies are expected to press ahead with plans to accelerate production growth when they report earnings this week, despite weak crude prices and higher supplies from OPEC and its allies.  Exxon Mobil Corp., Chevron Corp., Shell Plc, BP Plc and TotalEnergies SE will likely grow output 3.9% this year and 4.7% in 2026, according to analysts’ estimates compiled by Bloomberg. The increases — which include new projects as well as acquisitions — appear designed to capitalize on an expected oil-price upturn in the latter half of next year.  But they could add to the supply glut in the short term. “They’re taking the long view that oil demand is going to be a lot more resilient post-2030,” Noah Barrett, a research analyst at Janus Henderson, which manages about $457 billion. “If they’re not making the investments today, then their portfolios will be really disadvantaged when prices move higher.” After years of outsized profits as oil demand roared back following the pandemic, the world’s largest energy companies are feeling the pinch of crude prices that have dropped about 14% this year near to a four-year low. In response, they’re cutting jobs, reducing low-carbon investments and trimming share buybacks to channel funds toward the most valuable part of their business: oil and gas production. “All the supply coming to the market is shrinking OPEC’s spare capacity — so there’s a light at end of the tunnel,” said Betty Jiang, an analyst at Barclays Plc. “Whether that’s second half of 2026 or 2027, the balance is going to tighten. It’s just a matter of when.” Shell and TotalEnergies will kick off Big Oil earnings season on Thursday, followed by Exxon and Chevron the next

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AI Frenzy Spreading Over to Caterpillar, Oil Frackers

Caterpillar Inc., the company synonymous with yellow bulldozers and mining trucks, is getting a boost from another type of machinery. Power generators and turbines, which keep data centers running, have become a dominant driver for the company as demand for artificial-intelligence infrastructure takes off globally. Caterpillar told investors on Wednesday that sales of those products jumped 31% in its latest quarter, trouncing sales growth for its more traditional equipment.  The stock surged as much as 14%, to a record high. It’s an example of how the AI fervor that’s fueled Nvidia Corp.’s rise to become the world’s first $5 trillion company is also lifting the fortunes of more traditional industrial players.  For instance, shares of ProPetro Holding Corp., a West Texas oil contractor, soared an eye-popping 44% Wednesday after saying it was expanding its business to supply electricity to data centers. It is the biggest single-day jump on record for the company, which has traditionally focused on fracking oil and gas wells.  Last week, another fracking company, Halliburton Co., announced a deal to provide power to data centers, sending its up 12% for the biggest gain in six months. And a third, Liberty Energy Inc., has gained 60% since saying earlier this month it planned to expand its power generation business.   For Caterpillar, the boom in data center construction has transformed a once-sleepy segment of its business. Its so-called Energy & Transportation unit, which sells generators and related machinery, used to lag the firm’s other two divisions. But now that unit, which also sells equipment to oil producers and rail services, has become the company’s largest and fast-growing, accounting for about 40% of the firm’s total revenue last year. In quarterly earnings on Wednesday, Texas-based Caterpillar said that sales within the unit increased 17% year-over-year. And some analysts are expecting revenue from the unit to

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AWS opens giant data center for AI training

Just over a year after construction began, Amazon Web Services (AWS) has opened its giant data center near Lake Michigan in the US state of Indiana. The data center, which is part of AWS Project Rainier, covers 1,200 acres, or 4.86 square kilometers. This makes it one of the largest data centers in the world, CNBC reports. The construction cost amounted to 11 billion dollars, which is currently equivalent to 103 billion Swedish kronor.

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Samsung’s memory ramp-up may ease AI and cloud upgrade concerns

The company confirmed that its latest-generation HBM3E chips are now being shipped to “all related customers,” a possible sign that supply to major AI chipmakers like Nvidia may be stabilizing. With mass production of HBM4 expected next year, Samsung could eventually help relieve pressure on the broader enterprise infrastructure ecosystem, from cloud providers building new AI clusters to data center operators seeking to expand switching and storage capacity. Samsung’s Foundry division also plans to begin operating its new 2nm fab in Taylor, Texas, in 2026 and supply HBM4 base-dies, a move that could further stabilize component availability for US cloud and networking infrastructure providers. Easing the memory chokehold Easing DRAM and NAND lead times will unlock delayed infrastructure projects, particularly among hyperscalers, according to Manish Rawat, semiconductor analyst at TechInsights. “As component availability improves from months to weeks, deferred server and storage upgrades can transition to active scheduling,” Rawat said. “Hyperscalers are expected to lead these restarts, followed by large enterprises once pricing and delivery stabilize. Improved access to high-density memory will also drive faster refresh cycles and higher-performance rack designs, favoring denser server configurations. Procurement models may shift from long-term, buffer-heavy strategies to more agile, just-in-time or spot-buy approaches.” Samsung’s expanded role as a “meaningful volume supplier” of HBM3E 12-high DRAM will also be crucial for hyperscalers planning their 2026 AI infrastructure rollouts, according to Danish Faruqui, CEO of Fab Economics. “Without Samsung’s contribution, most hyperscaler ASIC programs, including Google’s TPU v7, AWS’s Trainium 3, and Microsoft’s in-house accelerators, were facing one- to two-quarter delays due to the limited HBM3E 12-high supply from SK Hynix,” Faruqui said. “These products form the backbone of next-generation AI data centers, and volume ramp-up depends directly on Samsung’s ability to deliver.”

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Oracle’s cloud strategy an increasingly risky bet

However, he pointed out, “theatre is not delivery. What Oracle served was less a coronation than a carefully staged performance: a heady cocktail of ambition, backlog, and speculation. At Greyhound Research, we argue that such moments call not for applause but for scrutiny. The right instinct is not to toast, but to check the bill.” Oracle ‘betting the farm’ on AI Rob Tiffany, research director in IDC’s worldwide infrastructure research organization, had a different view, saying, “in an effort to catch up with the other hyperscaler clouds, Oracle has been aggressively building out its Oracle Cloud Infrastructure (OCI) data center regions all over the world prior to their Stargate endeavor with Crusoe, OpenAI, and SoftBank, to capitalize on the AI opportunity.” Speculation about the burst of the AI bubble aside, he said, “the strength and success of the OCI buildout thus far rests with Oracle’s dominant database and Fusion Cloud ERP, and those enterprise customers should be confident  in Oracle’s future.” Scott Bickley, advisory fellow at Info-Tech Research Group, added, “[while it is] extraordinary to see them take on this kind of debt, [Oracle] are really betting the farm on the AI revolution panning out. There are a lot of risks involved if momentum in the AI space loses its current trajectory. There could be a lot of stranded infrastructure and capital.” The ultimate risk, he said “lies in the viability of OpenAI. These guys have said they’re going to spend $1.4 trillion on AI capacity build out, and they’re sitting on a revenue base of $13 billion a year right now. If they go up in smoke, then that could leave a lot of this investment stranded. That would be the worst case kind of Black Swan scenario.” At this point, he said, “CIOs would not want that bubble

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Google wants to restart closed nuclear power plant in Iowa

The enormous amount of energy required to power a modern data center has prompted major tech companies to sign major partnership agreements with power companies. Most recently, Google signed an agreement with Next Era Energy to restart the Duane Arnold Energy Center in Iowa. The nuclear power plant in question was shut down in 2020 and it is expected to take four years to make it operational again, CNBC reports.

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Arista fills out AI networking portfolio

The 7280R4-32PE features 25.6 Tbps switching capacity and supports 32x 800 GbE ports with Octal Small Form-Factor Pluggable (OSFP) or Quad Small Form-Factor Pluggable – Double Density (QSFP-DD) optical uplinks. It’s targeted at customers that need to support AI/ML workloads and routing-intensive edge use cases, Arista stated. It supports 25% lower power per Gbps compared to the prior generation, according to Arista.  A second version, the 7280R4-64QC-10PE, is aimed at dense, deep buffer-requiring workloads in data centers with 100G/800G requirements. The box supports 64x 100 GbE and 10x 800 GbE OSFP in addition to 4x 1/10/25 GbE for management or additional low-speed interfaces, Arista started. The box promises 20% lower power requirement per Gbps over the prior generation of the box, Arista stated.  At the high end, the new 7800R4 is the vendor’s latest flagship networking box capable of supporting 36 ports of 800GbE OSFP and QSFP-DD line cards in 4, 8, 12, and 16-slot chassis configurations. The box offers a high radix capacity – meaning it can be fully loaded with line card and support 576 physical 800 Gigabit Ethernet ports or 1,152 400GbE ports, Arista stated.  In addition, the 7800R supports a new 3.2 TbpsEthernet line card called HyperPort that supports 4 800G channels to tie together widely dispersed data centers via a technique Arista calls “scale across.” It’s designed to scale across buildings in the same metropolitan region or across sites in different cities or countries. This routed Data Center Interconnect technology that can extend AI clusters over Metro or long-haul WAN links, according to Arista. “Building on the flexible Extensible Operating System (EOS) software foundation [which runs across all Arista networking gear] and deep buffering, HyperPort delivers up to 44% faster job completion time (JCT) for high-bandwidth AI flows via a single high-speed port, compared to

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Cisco, Nvidia strengthen AI ties with new data center switch, reference architectures

The new box extends Cisco Nexus 9000 Series portfolio of high-density 800G aggregation switches for the data center fabric, Cisco stated. The Nexus 9000 data center switches are a core component of the vendor’s enterprise AI offerings. They support congestion-management and flow-control algorithms and deliver the right latency and telemetry to meet the design requirements of AI/ML fabrics, Cisco stated. With the Cisco N9100 Series, Cisco now supports Nvidia Cloud Partner (NCP)-compliant reference architecture. “This development is particularly significant for neocloud and sovereign cloud customers building data centers with capacities ranging from thousands to potentially hundreds of thousands of GPUs, as it allows them to diversify their supply chains effectively,” wrote Will Eatherton, senior vice president of Cisco networking engineering, in a blog post about the news. An add-on license lets customers extend the NCP reference architecture to define how customers can mix and mingle Nvidia Spectrum-X adaptive routing capability with Cisco Nexus 9300 Series switches and Nvidia Spectrum-X Ethernet SuperNICs. “The combination of low latency and congestion-aware, per-packet load balancing on Cisco 9300 switches, along with out-of-order packet handling and end-to-end congestion management on Nvidia SuperNICs, significantly enhances network performance. These improvements are essential for AI networks, optimizing critical metrics such as job completion time,” Eatherton wrote. In addition to neoclouds and sovereign buildouts, enterprise customers are a target, according to Futuriom’s Raynovich.

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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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