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AWS cuts prices of some EC2 Nvidia GPU-accelerated instances

“Price cuts on P4d, P4de, P5, and P5en GPU instances suggest a targeted price competition move. These instances, powered by Nvidia A100 and H100-class GPUs, are central to generative AI workloads and already in demand,” said Kaustubh K, practice director at Everest Group. “The reductions can be considered all about removing cost friction for AI […]

“Price cuts on P4d, P4de, P5, and P5en GPU instances suggest a targeted price competition move. These instances, powered by Nvidia A100 and H100-class GPUs, are central to generative AI workloads and already in demand,” said Kaustubh K, practice director at Everest Group.

“The reductions can be considered all about removing cost friction for AI buyers and positioning AWS more aggressively against Microsoft Azure and Google Cloud in the high-performance compute space. This is designed to drive scale, increase stickiness, and secure long-term infrastructure loyalty among enterprise AI teams,” Kaustubh added.

Discounts across most plans

According to AWS, the price reduction is based on the instance type and the purchase plan opted for by customers.

For P4d instances, On-Demand purchases will see a decrease of 33% in costs. When the same instance is purchased via the Savings Plan, enterprises will see a 31% decrease in costs for both Savings Plan options for a one-year period.

For three-year periods, costs on P4d on the Instance Savings Plan will decrease by 25%. The Compute Savings plan is not available for the same period.

P4de instances get the same reduction as P4d instances across all plans.

For P5 and P5en instances, AWS has reduced prices by 44% and 25%, respectively, under the On-demand plan.
On the Instance Savings Plan, both instances are not seeing any reduction, at least for one-year packs under the Instance Savings Plan.

For three three-year periods under the Instance Savings Plan, P5 and P5en prices have been reduced by 45% and 26% respectively.

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AWS cuts prices of some EC2 Nvidia GPU-accelerated instances

“Price cuts on P4d, P4de, P5, and P5en GPU instances suggest a targeted price competition move. These instances, powered by Nvidia A100 and H100-class GPUs, are central to generative AI workloads and already in demand,” said Kaustubh K, practice director at Everest Group. “The reductions can be considered all about

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Ending the great network depression

This brings us to AI. In both these enterprise examples, we see the concept of a new technology model deploying from a seedling-like start in a single location and then expanding outward and, at the same time, expanding to other related areas of business operation. Through this double-build-out, to be

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Nvidia aims to bring AI to wireless

Key features of ARC-Compact include: Energy Efficiency: Utilizing the L4 GPU (72-watt power footprint) and an energy-efficient ARM CPU, ARC-Compact aims for a total system power comparable to custom baseband unit (BBU) solutions currently in use. 5G vRAN support: It fully supports 5G TDD, FDD, massive MIMO, and all O-RAN

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Tariffs to spike power generation costs: reports

Dive Brief: Import tariffs could raise battery costs for U.S. utility-scale energy storage installations by more than 50% and make the United States the world’s most expensive solar market, Wood Mackenzie said on June 2. Prices for four-hour battery systems have already risen 56% to 69% since January and are expected to remain volatile “until clarity returns,” Anza Renewables said Thursday in a separate quarterly pricing report.  U.S. energy storage developers will likely depend on imports well into the future as domestic manufacturing capacity expands from 6% of present-day demand to 40% of expected 2030 demand, Wood Mackenzie said.  Dive Insight: Anza’s quarterly report shows significant market impacts from the Trump administration’s tariff policy. By April, imported batteries faced a universal 10% tariff, a further 145% tariff on Chinese components and stepped-up Section 301 levies dating back to the Biden administration, Anza said.  Every battery manufacturer Anza tracks had paused price quotes by early April, according to the quarterly pricing report. Many resumed quoting on shorter validity windows in late April, ahead of a 90-day reprieve on May 14 that cut the China tariff down to 30%, Anza said. The temporary tariff reduction could indirectly increase final pricing for domestic energy storage developers next quarter as shipping prices rise amid a rush to bring inventory into the U.S., Anza said. Four-hour battery system costs increased more than 50% since January despite a 17% drop in spot prices for lithium carbonate, a key input for lithium-ion batteries, over a similar timeframe. The longer-term energy storage cost outlook depends on where import tariffs settle, Wood Mackenzie said. Its consultants considered a milder “trade tensions” scenario, with stable tariffs of 34% on China and 10% on the rest of the world by year-end 2026, and a more severe “trade war” scenario with a

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Electrical manufacturers back bill to assess energy supply chain

Legislation directing the U.S. secretary of energy to conduct assessments of the U.S. electricity generation and transmission supply chains was approved by a House energy subcommittee on Thursday and now goes to the House Committee on Energy and Commerce. The Electric Supply Chain Act directs the energy secretary to prepare “periodic assessments” that include “any trends, risks, and vulnerabilities in the supply, demand, and availability of components for or related to generating or transmitting electricity, including components that are necessary for the construction or deployment of facilities that generate or transmit electricity.” The bill would require the secretary of energy to submit a report to Congress within one year of the legislation being enacted. The bill “takes a proactive approach to identifying and addressing emerging issues that affect the power sector,” Rep. Bob Latta, R-Ohio, said in April at a hearing on ensuring domestic energy reliability. Latta, who is chairman of the House Energy and Commerce Committee’s subcommittee on energy, introduced the legislation. Electrical equipment manufacturers say they support the bill. “We must prioritize grid reliability by ensuring all relevant voices involved in supplying energy are at the table, including supply chain vendors and the manufacturers of critical grid components,” Spencer Pederson, senior vice president of public affairs for the National Electrical Manufacturers Association, said in a statement. The legislation would allow grid component manufacturers and supply chain vendors to “provide the energy sector with greater clarity around their current and future capacity, opportunities for growth, and challenges related to maintaining a secure and resilient supply chain,” he said. “More insight into the grid’s component supply chains also will strengthen national security.” Having electrical manufacturers work with the Department of Energy’s supply chain assessment will also help “identify where potential issues related to ‘foreign entities of concern’ and other emerging issues might

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Baseload blind spot? Senate should unleash 24/7, clean energy workhorses

Malcolm Woolf is president and CEO of the National Hydropower Association and Dr. Bryant Jones is executive director of Geothermal Rising. When asked about the current version of “The One Big Beautiful Bill,” which recently passed the U.S. House and advanced to the U.S. Senate, President Trump replied, “We will be negotiating that bill, and I’m not happy about certain aspects of it.” He’s not the only one.   As representatives of the nation’s geothermal and hydropower industries, we are deeply concerned that two of the country’s most important baseload energy resources continue to be overlooked in federal energy legislation. This is especially troubling at a time when the nation is urgently seeking clean, reliable and domestically sourced energy solutions.  The timing couldn’t be worse. Forty percent of the non-federal hydropower fleet is currently up for relicensing and at risk of voluntary license surrender (451 facilities; 15,700 MW) Hydropower is one of America’s oldest sources of domestic, renewable power, with facilities in 48 states providing 24/7 reliable, affordable electricity to an estimated 25 million Americans. It also provides a disproportionate share of essential grid services such as “black start,” which is the ability to quickly restart the energy grid when it goes offline.   Geothermal energy is at an inflection point. It is no longer a niche solution — it is an emerging pillar of American energy resilience. There are geothermal heating and cooling systems in all 50 states and 93 geothermal power plants generating over 3,700 MW. Breakthrough technologies are dramatically expanding where geothermal can be deployed — potentially tapping into more than 5,000 GW of heat energy beneath U.S. soil. Next-generation systems are already being piloted in Nevada, Utah, Texas and California.  Importantly, geothermal is a multi-use energy asset: it can provide 24/7 clean electricity, thermal energy for heating and

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Avangrid Grows Generation Capacity in US to 10.5 GW

Spanish power and gas utility Iberdrola SA, through its subsidiary Avangrid Inc., has launched commercial operation at the 202 MWdc-150 MWac Powell Creek Solar project in Putnam County, Ohio. The facility raises Iberdrola’s installed capacity in the United States to 10.5 gigawatts (GW), with nearly 600 megawatts added in the last six months, according to an online statement by Avangrid. Powell Creek, near Miller City, is now generating enough electricity for the annual consumption of 30,000 homes according to Avangrid. The farm has over 300,000 panels. “Powell Creek is a timely addition to the regional electric grid ahead of peak summer demand and represents new American energy capacity that will help to meet the growing power needs from data centers, domestic manufacturing, and electrification”, Avangrid said. Avangrid expects the project to make about $31 million in local taxes and around $1.1 million in annual lease payments. “In a unique relationship, Miller City is capturing significant revenue from the project which it will use to construct a new sewer line to encourage new home and business development. Growth was historically limited there because the village’s homes, businesses, and school run on individual septic systems”, it added. Powell Creek is Avangrid’s second energy project in Ohio, after the 304 MW Blue Creek built 2012. Avangrid now has over 500 MW of installed capacity in the state, enough to power 100,000 homes annually according to the company. Elsewhere Avangrid earlier in May announced five projects with a total investment of $41 million to install additional capacity and improve the reliability of the power grid in Ithaca, New York. Avangrid expects the Ithaca projects to benefit over 42,000 customers of New York State Electric & Gas, an Avangrid unit that operates about 35,000 miles of electric distribution lines and 4,500 miles of electric transmission lines

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North America Drops More Rigs

North America cut two rigs week on week, according to Baker Hughes’ latest North America rotary rig count, which was published on June 6. The U.S. dropped four rigs week on week, while Canada added two rigs during the same timeframe, taking the total North America rig count down to 673, comprising 559 rigs from the U.S. and 114 rigs from Canada, the count outlined. Of the total U.S. rig count of 559, 544 rigs are categorized as land rigs, 13 are categorized as offshore rigs, and two are categorized as inland water rigs. The total U.S. rig count is made up of 442 oil rigs, 114 gas rigs, and three miscellaneous rigs, according to Baker Hughes’ count, which revealed that the U.S. total comprises 505 horizontal rigs, 41 directional rigs, and 13 vertical rigs. Week on week, the U.S. land rig count reduced by four, and its offshore rig count and inland water rig count remained unchanged, the count highlighted. The country’s oil rig count dropped by nine, its gas rig count increased by five, and its miscellaneous rig count remained unchanged, week on week, the count showed. The U.S. horizontal rig count dropped by three week on week, its directional rig count decreased by one week on week, and its vertical rig count remained unchanged during the same timeframe, the count revealed. A major state variances subcategory included in the rig count showed that, week on week, Oklahoma and Texas each dropped two rigs, Utah dropped one rig, and Louisiana added one rig. A major basin variances subcategory included in Baker Hughes’ rig count showed that, week on week, the Eagle Ford and Permian basins each dropped three rigs, the Granite Wash basin dropped one rig, and the Cana Woodford and Haynesville basins each added two rigs. Canada’s

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Vermilion Energy Completes Exit from USA with Asset Divestment

Vermilion Energy Inc. said it has entered into a definitive agreement to sell its U.S. assets for cash proceeds of $87.61 million (CAD 120 million). The assets produce approximately 5,500 barrels of oil equivalent (boepd), consisting of 81 percent oil and liquids, and an estimated approximately 10 million barrels of oil equivalent (MMboe) of proved developed producing reserves as of Dec. 31, 2024, Vermilion said in a news release. The company said it expects the transaction, which has an effective date of January 1, to close in the third quarter, subject to the satisfaction of other customary closing conditions. The transaction agreement includes CAD 10 million of contingent payments based on WTI prices over the two-year period starting July 1. Vermilion said the transaction, combined with the sale of its East Finn assets in 2023, completes the company’s exit from the USA. The company said it plans to focus on its core gas-weighted assets in Canada and Europe. Net proceeds from the transaction will be directed towards debt repayment to “further accelerate deleveraging efforts and strengthen Vermilion’s balance sheet,” the company said. Meanwhile, Vermilion said it is adjusting its 2025 capital budget to a range of CAD 630 to 660 million, reflecting a reduction of approximately CAD 100 million from the mid-point of our previous capital budget range of CAD 730 million to 760 million. The reduction reflects the removal of all remaining exploration and development capital associated with the Saskatchewan and U.S. divested assets post-closing, the company said. Vermilion said it expects full-year and second-half 2025 production to range between 117,000 and 122,000 boepd, 68 percent natural gas-weighted in the second half of 2025. The company said it estimates that over 90 percent of production will come from its global gas portfolio and over 80 percent of capital is

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LiquidStack launches cooling system for high density, high-powered data centers

The CDU is serviceable from the front of the unit, with no rear or end access required, allowing the system to be placed against the wall. The skid-mounted system can come with rail and overhead piping pre-installed or shipped as separate cabinets for on-site assembly. The single-phase system has high-efficiency dual pumps designed to protect critical components from leaks and a centralized design with separate pump and control modules reduce both the number of components and complexity. “AI will keep pushing thermal output to new extremes, and data centers need cooling systems that can be easily deployed, managed, and scaled to match heat rejection demands as they rise,” said Joe Capes, CEO of LiquidStack in a statement. “With up to 10MW of cooling capacity at N, N+1, or N+2, the GigaModular is a platform like no other—we designed it to be the only CDU our customers will ever need. It future-proofs design selections for direct-to-chip liquid cooling without traditional limits or boundaries.”

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Enterprises face data center power design challenges

” Now, with AI, GPUs need data to do a lot of compute and send that back to another GPU. That connection needs to be close together, and that is what’s pushing the density, the chips are more powerful and so on, but the necessity of everything being close together is what’s driving this big revolution,” he said. That revolution in new architecture is new data center designs. Cordovil said that instead of putting the power shelves within the rack, system administrators are putting a sidecar next to those racks and loading the sidecar with the power system, which serves two to four racks. This allows for more compute per rack and lower latency since the data doesn’t have to travel as far. The problem is that 1 mW racks are uncharted territory and no one knows how to manage the power, which is considerable now. ”There’s no user manual that says, hey, just follow this and everything’s going to be all right. You really need to push the boundaries of understanding how to work. You need to start designing something somehow, so that is a challenge to data center designers,” he said. And this brings up another issue: many corporate data centers have power plugs that are like the ones that you have at home, more or less, so they didn’t need to have an advanced electrician certification. “We’re not playing with that power anymore. You need to be very aware of how to connect something. Some of the technicians are going to need to be certified electricians, which is a skills gap in the market that we see in most markets out there,” said Cordovil. A CompTIA A+ certification will teach you the basics of power, but not the advanced skills needed for these increasingly dense racks. Cordovil

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HPE Nonstop servers target data center, high-throughput applications

HPE has bumped up the size and speed of its fault-tolerant Nonstop Compute servers. There are two new servers – the 8TB, Intel Xeon-based Nonstop Compute NS9 X5 and Nonstop Compute NS5 X5 – aimed at enterprise customers looking to upgrade their transaction processing network infrastructure or support larger application workloads. Like other HPE Nonstop systems, the two new boxes include compute, software, storage, networking and database resources as well as full-system clustering and HPE’s specialized Nonstop operating system. The flagship NS9 X5 features support for dual-fabric HDR200 InfiniBand interconnect, which effectively doubles the interconnect bandwidth between it and other servers compared to the current NS8 X4, according to an HPE blog detailing the new servers. It supports up to 270 networking ports per NS9 X system, can be clustered with up to 16 other NS9 X5s, and can support 25 GbE network connectivity for modern data center integration and high-throughput applications, according to HPE.

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AI boom exposes infrastructure gaps: APAC’s data center demand to outstrip supply by 42%

“Investor confidence in data centres is expected to strengthen over the remainder of the decade,” the report said. “Strong demand and solid underlying fundamentals fuelled by AI and cloud services growth will provide a robust foundation for investors to build scale.” Enterprise strategies must evolve With supply constrained and prices rising, CBRE recommended that enterprises rethink data center procurement models. Waiting for optimal sites or price points is no longer viable in many markets. Instead, enterprises should pursue early partnerships with operators that have robust development pipelines and focus on securing power-ready land. Build-to-suit models are becoming more relevant, especially for larger capacity requirements. Smaller enterprise facilities — those under 5MW — may face sustainability challenges in the long term. The report suggested that these could become “less relevant” as companies increasingly turn to specialized colocation and hyperscale providers. Still, traditional workloads will continue to represent up to 50% of total demand through 2030, preserving value in existing facilities for non-AI use cases, the report added. The region’s projected 15 to 25 GW gap is more than a temporary shortage — it signals a structural shift, CBRE said. Enterprises that act early to secure infrastructure, invest in emerging markets, and align with power availability will be best positioned to meet digital transformation goals. “Those that wait may find themselves locked out of the digital infrastructure they need to compete,” the report added.

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Cisco bolsters DNS security package

The software can block domains associated with phishing, malware, botnets, and other high-risk categories such as cryptomining or new domains that haven’t been reported previously. It can also create custom block and allow lists and offers the ability to pinpoint compromised systems using real-time security activity reports, Brunetto wrote. According to Cisco, many organizations leave DNS resolution to their ISP. “But the growth of direct enterprise internet connections and remote work make DNS optimization for threat defense, privacy, compliance, and performance ever more important,” Cisco stated. “Along with core security hygiene, like a patching program, strong DNS-layer security is the leading cost-effective way to improve security posture. It blocks threats before they even reach your firewall, dramatically reducing the alert pressure your security team manages.” “Unlike other Secure Service Edge (SSE) solutions that have added basic DNS security in a ‘checkbox’ attempt to meet market demand, Cisco Secure Access – DNS Defense embeds strong security into its global network of 50+ DNS data centers,” Brunetto wrote. “Among all SSE solutions, only Cisco’s features a recursive DNS architecture that ensures low-latency, fast DNS resolution, and seamless failover.”

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HPE Aruba unveils raft of new switches for data center, campus modernization

And in large-scale enterprise environments embracing collapsed-core designs, the switch acts as a high-performance aggregation layer. It consolidates services, simplifies network architecture, and enforces security policies natively, reducing complexity and operational cost, Gray said. In addition, the switch offers the agility and security required at colocation facilities and edge sites. Its integrated Layer 4 stateful security and automation-ready platform enable rapid deployment while maintaining robust control and visibility over distributed infrastructure, Gray said. The CX 10040 significantly expands the capacity it can provide and the roles it can serve for enterprise customers, according to one industry analyst. “From the enterprise side, this expands on the feature set and capabilities of the original 10000, giving customers the ability to run additional services directly in the network,” said Alan Weckel, co-founder and analyst with The 650 Group. “It helps drive a lower TCO and provide a more secure network.”  Aimed as a VMware alternative Gray noted that HPE Aruba is combining its recently announced Morpheus VM Essentials plug-in package, which offers a hypervisor-based package aimed at hybrid cloud virtualization environments, with the CX 10040 to deliver a meaningful alternative to Broadcom’s VMware package. “If customers want to get out of the business of having to buy VM cloud or Cloud Foundation stuff and all of that, they can replace the distributed firewall, microsegmentation and lots of the capabilities found in the old VMware NSX [networking software] and the CX 10k, and Morpheus can easily replace that functionality [such as VM orchestration, automation and policy management],” Gray said. The 650 Group’s Weckel weighed in on the idea of the CX 10040 as a VMware alternative:

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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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