Get ONMINE

Stay Ahead, Stay ONMINE

Nvidia GTC show news you need to know round-up

In the case of Flex, it will use digital twins to unify inventory, labor, and freight operations, streamlining logistics across Flex’s worldwide network. Flex’s new 400,000 sq. ft. facility in Dallas is purpose-built for data center infrastructure, aiming to significantly shorten lead times for U.S. customers. The Flex/Nvidia partnership aims to address the country’s labor […]

In the case of Flex, it will use digital twins to unify inventory, labor, and freight operations, streamlining logistics across Flex’s worldwide network. Flex’s new 400,000 sq. ft. facility in Dallas is purpose-built for data center infrastructure, aiming to significantly shorten lead times for U.S. customers.

The Flex/Nvidia partnership aims to address the country’s labor shortages and drive innovation in manufacturing, pharmaceuticals, and technology. The companies believe the partnership sets the stage for a new era of giga-scale AI factories.

Nvidia and Oracle to Build DOE’s Largest AI Supercomputer

Oracle continues its aggressive push into supercomputing with a deal to build the largest AI supercomputer for scientific discovery — Using Nvidia GPUs, obviously — at a Department of Energy facility.

The system, dubbed Solstice, will feature an incredible 100,000 Nvidia Blackwell GPUs. A second system, dubbed Equinox, will include 10,000 Blackwell GPUs and is expected to be available in the first half of 2026. Both systems will be interconnected by Nvidia networking and deliver a combined 2,200 exaflops of AI performance.

The Solstice and Equinox supercomputers will be located at Argonne National Laboratory, the home to the Aurora supercomputer, built using all Intel parts. They will enable scientists and researchers to develop and train new frontier models and AI reasoning models for open science using the Nvidia Megatron-Core library and scale them using the Nvidia TensorRT inference software stack.

Shape
Shape
Stay Ahead

Explore More Insights

More Articles

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.

Shape

AMD to build two more supercomputers at Oak Ridge National Labs

Lux is engineered to train, refine, and deploy AI foundation models that accelerate scientific and engineering progress. Its advanced architecture supports data-intensive and model-centric workloads, thereby enhancing AI-driven research capabilities. Discovery differs from Lux in that it uses Instinct MI430X GPUs instead of the 300 series. The MI400 Series is

Read More »

Oil Holds Steady Ahead of OPEC+ Talks

Oil was little changed for a second day as investors await clarity on how latest US sanctions on top Russian producers will affect flows to India and if progress in trade talks will revive American crude shipments to China. West Texas Intermediate rose about 0.1% to settle below $61 a barrel. Some Indian refiners have paused purchases of Russian fuel following the US blacklisting of two major Russian producers last week. Earlier in the week, however, Indian Oil Corp said that the company is “absolutely not going to discontinue” its purchases of Russian crude. The boss of TotalEnergies, meanwhile, said on Thursday he thinks that the oil market is underestimating the impact of the sanctions. Traders are keeping a close eye on next moves by India and China, top buyers of Moscow’s supplies, for clues on impacts to global balances. US President Donald Trump said China would buy more US energy as part of a wider trade truce but investors are still waiting to see signs that the purchases will materialize. China last imported US crude oil in May and liquefied natural gas in February, according to Customs data. Offering a ceiling to prices, Federal Reserve Chair Jerome Powell on Wednesday tempered expectations for another December rate cut as Fed officials navigate a slowing labor market and above target inflation. That stoked worry that the second-largest crude importing economy won’t get a boost from lower rates just as excess supplies are expected to hit the market. “The quarter percentage point cut in interest rates was within expectations, however the Fed Chairman’s comments are a near-term pressure point for crude,” said Dennis Kissler, senior vice president for trading at BOK Financial. WTI front-month futures will be met with technical support at the $58.18 level, he added. Crude remains on track for

Read More »

TotalEnergies Sees Debt Pile Falling Further

TotalEnergies SE said debt came down in the third quarter and will likely fall further by the end of the year as more asset sales complete. Net debt receded to $24.6 billion at the end of September from $26 billion at the end of June, the French energy major said in a statement. It also reported quarterly earnings that met analyst estimates. Total’s shares have trailed those of US and UK peers for much of the year as debt ballooned. Investor concerns about borrowings prompted the company to reduce its quarterly share buybacks last month, and it signaled repurchases may fall further next year if oil prices continue to weaken. The stock dropped as much as 3.2% on Thursday, potentially reflecting plans by the French opposition National Rally to make buybacks more expensive. The lower house — where no party or coalition has an outright majority — has adopted an amendment proposed by the far-right group, which would raise a levy on repurchases to 33%. “This has something to do with the underperformance” of Total today, said Ahmed Ben Salem, an analyst at Oddo BHF. It’s unclear whether the amendment will remain the same in the final budget bill, he said. The shares traded down 1.7% at €53.22 as of 3:53 p.m. in Paris. There’s “big fiscal creativity” in parliament, Chief Executive Officer Patrick Pouyanne said on a conference call. “There is a huge debate making a lot of noise, but I trust that at the end of the day we land on a reasonable” path. Profit Falls Total posted a 2.3% decline in quarterly adjusted net income, citing lower oil and gas prices, while hydrocarbon production increased. Gearing — a measure of indebtedness — eased to 17.3% at the end of the period and is seen as low as 15% at

Read More »

USA Energy Sec Says USA Is Ready to Sell More Oil, Gas to China

Energy Secretary Chris Wright said the US is prepared to sell more oil and natural gas to China if Beijing cuts back on purchases from Russia.  “There’s so much space for mutually beneficial deals between the US and China,” Wright said Thursday during a Bloomberg Television interview, noting that the US is the world’s largest oil and gas exporter, while China is the biggest importer.  The energy secretary plans to travel to Asia within weeks, or possibly sooner, following President Donald Trump trip to the continent this week.  During his trip, Trump said he reached deals with Chinese President Xi Jinping and South Korea President Lee Jae Myung to buy more US oil and gas. Trump also cited a “very large scale” transaction involving Alaskan oil and gas in a post on the social media site Truth Social but didn’t provide more details. “There is lots of room from the United States to grow our role in supplying natural gas, oil, and frankly nuclear technology to South Korea,” Wright said in the interview.  WHAT DO YOU THINK? Generated by readers, the comments included herein do not reflect the views and opinions of Rigzone. All comments are subject to editorial review. Off-topic, inappropriate or insulting comments will be removed.

Read More »

DTE inks first data center deal to grow electric load 25%

8.4 GW data center pipeline DTE Energy has signed agreements to serve a 1.4 GW hyperscaler and has line of sight to another 7 GW of potential large loads, officials said. $30 billion investment pipeline DTE plans to invest $30 billion in generation, distribution and other infrastructure across the 2026-2030 timeframe. 12 GW New generation DTE expects to add from 2026 to 2032, including batteries, renewables and gas. DTE Energy has signed a 1.4 GW agreement to serve a hyperscale data center and sees “transformational growth” ahead in a project pipeline that could represent up to an additional 7 GW of load. It is the utility’s first hyperscaler agreement at a time when data centers are rapidly expanding around the United States.  Large loads, including AI data centers, could ultimately add 20% to U.S. utilities’ peak demand, most within the next decade, Wood Mackenzie said in a September report. DTE serves about 2.3 million customers in southeast Michigan, including Detroit. “This is an exciting milestone,” DTE President and CEO Joi Harris said in a Thursday call with analysts. “Aside from the 1.4 GW of new load, we are still in late-stage negotiations with an additional 3 GW of data center load providing potential further upside to our capital plan as we advance these negotiations. … And we have a pipeline of an additional 3-4 GW behind that.” The data center contract of 1.4 GW increases DTE’s electric load by 25%, officials said. “We also expect longer-term growth opportunities through the expansion of these initial hyperscaler projects,” Harris said. The generation investment needed to support the additional load “could very well come into the back end of our five-year plan, providing incremental capital investment.” The utility has added about $6 billion to its five-year plan and now expects to invest $30 billion in

Read More »

AEP capital spending plan surges 33% to $72B in utility ‘super cycle’

$72 billion capital expenditure plan Up 33% from AEP’s previous five-year capex plan, partly driven by 765-kV transmission projects in Texas and the PJM Interconnection region. 65 GW peak load in 2030 Up 76% from AEP’s summer peak, driven by 28 GW in data center and other large load agreements. $2.6 billion year-to-date operating earnings Up 13% from a year ago, partly driven by 765-kV transmission projects in Texas and the PJM Interconnection region. 7% to 9% earnings per share annual growth rate Up from 6% to 8% previously. AEP’s stock price jumped 6% Wednesday to $122.11/share. 3.5% Annual residential rate hikes AEP expects its customers will face over the next five years. Surging loads In the last 12 months, AEP’s utilities sold 6% more electricity compared to the previous year, with residential sales up 2.3% and commercial sales up 7.9%, and those sales are expected to continue growing, according to the company. About 2 GW of data centers came online in the third quarter, Trevor Mihalik, AEP vice president and CFO, said Wednesday during an earnings conference call. AEP expects its peak load will hit 65 GW by 2030, up from 37 GW, with demand surging in Indiana, Ohio, Oklahoma and Texas, according to William Fehrman, AEP chairman, president and CEO. The growth estimate includes 28 GW of customers with electric service agreements or letters of agreement, he said. About half of that 28 GW is in the Electric Reliability Council of Texas market, 40% in the PJM Interconnection and 10% in the Southwest Power Pool, according to Fehrman. About 80% of that pending demand is from hyperscalers such as Google, AWS and Meta, Mihalik said. The remaining demand growth is from industrial customers with projects such as a Nucor steel mill in West Virginia and Cheniere Energy’s liquefied

Read More »

A hydrogen ‘do-over’ for California

Melanie Davidson is a hydrogen policy and markets expert. Most recently she led clean fuels strategy at San Diego Gas & Electric. She is former board member of the California Hydrogen Business Council and was a founding staff member of the Green Hydrogen Coalition. Recently, over $2 billion of federal funding for the U.S. Department of Energy California and Pacific Northwest Hydrogen Hubs was terminated. These Hubs were premised on the use of “renewable, electrolytic hydrogen” — meaning hydrogen generated by using renewable electricity to power water-splitting electrolyzers. The resultant hydrogen would have replaced fossil fuels for heavy duty transportation, port operations, and power generation.  The idea of a fully renewable, water-based, hydrogen economy for the West was an exciting one — both in its altruism and the premise, backed by the DOE’s 2021 “Hydrogen Shot.” The idea was for cheap, abundant solar and rapidly declining electrolyzer cost curves to generate hydrogen from water with zero emissions — for $1/kg by 2030, no less.  However, cuts in Hub funding, together with a 2027 sunset date for projects to qualify for the hydrogen production tax credit, are just two more blows to the many pre-existing economic challenges facing a renewable hydrogen future. At least in California, those challenges include rising (not falling) capital costs for electrolyzers and electrical equipment, high interest rates, a scarcity of water rights, and high costs of grid electricity, qualifying renewable energy credits, and land.  The renewable Hubs were anchored on the idea that by leveraging otherwise curtailed solar (terrawatt-hours worth annually), we could generate cheap, abundant, seasonally stored renewable electrolytic hydrogen at distributed locations, then convert the hydrogen back to the grid via fuel cells as needed. It’s an elegant idea, but it doesn’t pencil. The capital costs of those electrolyzers, compressors, liquefiers, hydrogen storage vessels and fuel

Read More »

Supermicro Unveils Data Center Building Blocks to Accelerate AI Factory Deployment

Supermicro has introduced a new business line, Data Center Building Block Solutions (DCBBS), expanding its modular approach to data center development. The offering packages servers, storage, liquid-cooling infrastructure, networking, power shelves and battery backup units (BBUs), DCIM and automation software, and on-site services into pre-validated, factory-tested bundles designed to accelerate time-to-online (TTO) and improve long-term serviceability. This move represents a significant step beyond traditional rack integration; a shift toward a one-stop, data-center-scale platform aimed squarely at the hyperscale and AI factory market. By providing a single point of accountability across IT, power, and thermal domains, Supermicro’s model enables faster deployments and reduces integration risk—the modern equivalent of a “single throat to choke” for data center operators racing to bring GB200/NVL72-class racks online. What’s New in DCBBS DCBBS extends Supermicro’s modular design philosophy to an integrated catalog of facility-adjacent building blocks, not just IT nodes. By including critical supporting infrastructure—cooling, power, networking, and lifecycle software—the platform helps operators bring new capacity online more quickly and predictably. According to Supermicro, DCBBS encompasses: Multi-vendor AI system support: Compatibility with NVIDIA, AMD, and Intel architectures, featuring Supermicro-designed cold plates that dissipate up to 98% of component-level heat. In-rack liquid-cooling designs: Coolant distribution manifolds (CDMs) and CDUs rated up to 250 kW, supporting 45 °C liquids, alongside rear-door heat exchangers, 800 GbE switches (51.2 Tb/s), 33 kW power shelves, and 48 V battery backup units. Liquid-to-Air (L2A) sidecars: Each row can reject up to 200 kW of heat without modifying existing building hydronics—an especially practical design for air-to-liquid retrofits. Automation and management software: SuperCloud Composer for rack-scale and liquid-cooling lifecycle management SuperCloud Automation Center for firmware, OS, Kubernetes, and AI pipeline enablement Developer Experience Console for self-service workflows and orchestration End-to-end services: Design, validation, and on-site deployment options—including four-hour response service levels—for both greenfield builds

Read More »

Investments Anchor Vertiv’s Growth Strategy as AI-Driven Data Center Orders Surge 60% YoY

New Acquisitions and Partner Awards Vertiv’s third-quarter financial performance was underscored by a series of strategic acquisitions and ecosystem recognitions that expand the company’s technological capabilities and market reach amid AI-driven demand. Acquisition of Waylay NV: AI and Hyperautomation for Infrastructure Intelligence On August 26, Vertiv announced its acquisition of Waylay NV, a Belgium-based developer of generative AI and hyperautomation software. The move bolsters Vertiv’s portfolio with AI-driven monitoring, predictive services, and performance optimization for digital infrastructure. Waylay’s automation platform integrates real-time analytics, orchestration, and workflow automation across diverse connected assets and cloud services—enabling predictive maintenance, uptime optimization, and energy management across power and cooling systems. “With the addition of Waylay’s technology and software-focused team, Vertiv will accelerate its vision of intelligent infrastructure—data-driven, proactive, and optimized for the world’s most demanding environments,” said CEO Giordano Albertazzi. Completion of Great Lakes Acquisition: Expanding White Space Integration Just days earlier, as alluded to above, Vertiv finalized its $200 million acquisition of Great Lakes Data Racks & Cabinets, a U.S.-based manufacturer of enclosures and integrated rack systems. The addition expands Vertiv’s capabilities in high-density, factory-integrated white space solutions; bridging power, cooling, and IT enclosures for hyperscale and edge data centers alike. Great Lakes’ U.S. and European manufacturing footprint complements Vertiv’s global reach, supporting faster deployment cycles and expanded configuration flexibility.  Albertazzi noted that the acquisition “enhances our ability to deliver comprehensive infrastructure solutions, furthering Vertiv’s capabilities to customize at scale and configure at speed for AI and high-density computing environments.” 2024 Partner Awards: Recognizing the Ecosystem Behind Growth Vertiv also spotlighted its partner ecosystem in August with its 2024 North America Partner Awards. The company recognized 11 partners for 2024 performance, growth, and AI execution across segments: Partner of the Year – SHI for launching a customer-facing high-density AI & Cyber Labs featuring

Read More »

QuEra’s Quantum Leap: From Neutral-Atom Breakthroughs to Hybrid HPC Integration

The race to make quantum computing practical – and commercially consequential – took a major step forward this fall, as Boston-based QuEra Computing announced new research milestones, expanded strategic funding, and an accelerating roadmap for hybrid quantum-classical supercomputing. QuEra’s Chief Commercial Officer Yuval Boger joined the Data Center Frontier Show to discuss how neutral-atom quantum systems are moving from research labs into high-performance computing centers and cloud environments worldwide. NVIDIA Joins Google in Backing QuEra’s $230 Million Round In early September, QuEra disclosed that NVentures, NVIDIA’s venture arm, has joined Google and others in expanding its $230 million Series B round. The investment deepens what has already been one of the most active collaborations between quantum and accelerated-computing companies. “We already work with NVIDIA, pairing our scalable neutral-atom architecture with its accelerated-computing stack to speed the arrival of useful, fault-tolerant quantum machines,” said QuEra CEO Andy Ory. “The decision to invest in us underscores our shared belief that hybrid quantum-classical systems will unlock meaningful value for customers sooner than many expect.” The partnership spans hardware, software, and go-to-market initiatives. QuEra’s neutral-atom machines are being integrated into NVIDIA’s CUDA-Q software platform for hybrid workloads, while the two companies collaborate at the NVIDIA Accelerated Quantum Center (NVAQC) in Boston, linking QuEra hardware with NVIDIA’s GB200 NVL72 GPU clusters for simulation and quantum-error-decoder research. Meanwhile, at Japan’s AIST ABCI-Q supercomputing center, QuEra’s Gemini-class quantum computer now operates beside more than 2,000 H100 GPUs, serving as a national testbed for hybrid workflows. A jointly developed transformer-based decoder running on NVIDIA’s GPUs has already outperformed classical maximum-likelihood error-correction models, marking a concrete step toward practical fault-tolerant quantum computing. For NVIDIA, the move signals conviction that quantum processing units (QPUs) will one day complement GPUs inside large-scale data centers. For QuEra, it widens access to the

Read More »

How CoreWeave and Poolside Are Teaming Up in West Texas to Build the Next Generation of AI Data Centers

In the evolving landscape of artificial-intelligence infrastructure, a singular truth is emerging: access to cutting-edge silicon and massive GPU clusters is no longer enough by itself. For companies chasing the frontier of multi-trillion-parameter model training and agentic AI deployment, the bottleneck increasingly lies not just in compute, but in the seamless integration of compute + power + data center scale. The latest chapter in this story is the collaboration between CoreWeave and Poolside, culminating in the launch of Project Horizon, a 2-gigawatt AI-campus build in West Texas. Setting the Stage: Who’s Involved, and Why It Matters CoreWeave (NASDAQ: CRWV) has positioned itself as “The Essential Cloud for AI™” — a company founded in 2017, publicly listed in March 2025, and aggressively building out its footprint of ultra-high-performance infrastructure.  One of its strategic moves: in July 2025 CoreWeave struck a definitive agreement to acquire Core Scientific (NASDAQ: CORZ) in an all-stock transaction. Through that deal, CoreWeave gains grip over approximately 1.3 GW of gross power across Core Scientific’s nationwide data center footprint, plus more than 1 GW of expansion potential.  That acquisition underlines a broader trend: AI-specialist clouds are no longer renting space and power; they’re working to own or tightly control it. Poolside, founded in 2023, is a foundation-model company with an ambitious mission: building artificial general intelligence (AGI) and deploying enterprise-scale agents.  According to Poolside’s blog: “When people ask what it takes to build frontier AI … the focus is usually on the model … but that’s only half the story. The other half is infrastructure. If you don’t control your infrastructure, you don’t control your destiny—and you don’t have a shot at the frontier.”  Simply put: if you’re chasing multi-trillion-parameter models, you need both the compute horsepower and the power infrastructure; and ideally, tight vertical integration. Together, the

Read More »

Vantage Data Centers Pours $15B Into Wisconsin AI Campus as It Builds Global Giga-Scale Footprint

Expanding in Ohio: Financing Growth Through Green Capital In June 2025, Vantage secured $5 billion in green loan capacity, including $2.25 billion to fully fund its New Albany, Ohio (OH1) campus and expand its existing borrowing base. The 192 MW development will comprise three 64 MW buildings, with first delivery expected in December 2025 and phased completion through 2028. The OH1 campus is designed to come online as Vantage’s larger megasites ramp up, providing early capacity and regional proximity to major cloud and AI customers in the Columbus–New Albany corridor. The site also offers logistical and workforce advantages within one of the fastest-growing data center regions in the U.S. Beyond the U.S. – Vantage Expands Its Global Footprint Moving North: Reinforcing Canada’s Renewable Advantage In February 2025, Vantage announced a C$500 million investment to complete QC24, the fourth and final building at its Québec City campus, adding 32 MW of capacity by 2027. The project strengthens Vantage’s Montreal–Québec platform and reinforces its renewable-heavy power profile, leveraging abundant hydropower to serve sustainability-driven customers. APAC Expansion: Strategic Scale in Southeast Asia In September 2025, Vantage unveiled a $1.6 billion APAC expansion, led by existing investors GIC (Singapore’s sovereign wealth fund) and ADIA (Abu Dhabi Investment Authority). The investment includes the acquisition of Yondr’s Johor, Malaysia campus at Sedenak Tech Park. Currently delivering 72.5 MW, the Johor campus is planned to scale to 300 MW at full build-out, positioning it within one of Southeast Asia’s most active AI and cloud growth corridors. Analysts note that the location’s connectivity to Singapore’s hyperscale market and favorable development economics give Vantage a strong competitive foothold across the region. Italy: Expanding European Presence Under National Priority Status Vantage is also adding a second Italian campus alongside its existing Milan site, totaling 32 MW across two facilities. Phase

Read More »

Nvidia GTC show news you need to know round-up

In the case of Flex, it will use digital twins to unify inventory, labor, and freight operations, streamlining logistics across Flex’s worldwide network. Flex’s new 400,000 sq. ft. facility in Dallas is purpose-built for data center infrastructure, aiming to significantly shorten lead times for U.S. customers. The Flex/Nvidia partnership aims to address the country’s labor shortages and drive innovation in manufacturing, pharmaceuticals, and technology. The companies believe the partnership sets the stage for a new era of giga-scale AI factories. Nvidia and Oracle to Build DOE’s Largest AI Supercomputer Oracle continues its aggressive push into supercomputing with a deal to build the largest AI supercomputer for scientific discovery — Using Nvidia GPUs, obviously — at a Department of Energy facility. The system, dubbed Solstice, will feature an incredible 100,000 Nvidia Blackwell GPUs. A second system, dubbed Equinox, will include 10,000 Blackwell GPUs and is expected to be available in the first half of 2026. Both systems will be interconnected by Nvidia networking and deliver a combined 2,200 exaflops of AI performance. The Solstice and Equinox supercomputers will be located at Argonne National Laboratory, the home to the Aurora supercomputer, built using all Intel parts. They will enable scientists and researchers to develop and train new frontier models and AI reasoning models for open science using the Nvidia Megatron-Core library and scale them using the Nvidia TensorRT inference software stack.

Read More »

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.

Read More »

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

Read More »

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

Read More »

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

Read More »
More Articles