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EU Commission Names 5 New RE Projects for Potential CEF Funding

The European Commission has added five to the list of cross-border renewable energy projects (CB RES) eligible for financing under the Connecting Europe Facility (CEF) for Energy program, expanding the list to 13 projects. “The five projects, thanks to the official CB RES status, are now eligible for financial support for studies and works under the CEF […]

The European Commission has added five to the list of cross-border renewable energy projects (CB RES) eligible for financing under the Connecting Europe Facility (CEF) for Energy program, expanding the list to 13 projects.

“The five projects, thanks to the official CB RES status, are now eligible for financial support for studies and works under the CEF Energy Program”, the Commission said in a statement on its website.

“Furthermore, they benefit from higher visibility, increased investor certainty and stronger support from member states”.

The newly recognized projects involve the Baltic states, North Africa, Germany, Poland and Portugal.

To rise on the Estonian side of the Baltic Sea, the Liivi Bay Offshore Wind Farm will be radially connected to the national grid with a capacity of one gigawatt (GW). It is expected to go online 2031.

“The wind farm will contribute to Estonia’s goal of producing 100 percent of electricity from renewable sources by 2030, while also supporting Latvia’s energy transition”, the Commission said.

Straddling the Latvia-Lithuania border, the onshore Utilitas Eleja-Jonisķis Wind Park is expected to deliver 200 megawatts from 2028.

“The project is strategically located to connect to the 330 kV Viskaļi-Musa transmission line, enhancing regional grid stability and energy independence”, the Commission said.

Meanwhile the Twin Heat project will decarbonize the district heating systems of the twin cities of Slubice, Poland, and Frankfurt, Germany. Renewables-based heating infrastructure enabling cross-border heat exchange will be installed.

The latest additions to the CB RES list also include a research project that “paves the way for groundwork for future cross-border deployment of floating offshore wind energy in Portugal in a cooperation with Luxembourg”, the Commission said.

“It will assess offshore wind zones, grid reinforcements and auction models, helping to unlock up to 10 GW of offshore wind capacity in Portugal. The project also fosters collaboration around green hydrogen, port infrastructure and energy system planning”.

Medlink Renewable Generation, a “landmark North-South cooperation project”, rounds up the newly recognized projects. It aims to build 10 GW of solar and wind capacity with battery energy storage systems in Algeria and Tunisia.

“Two 2 GW HVDC interconnectors will export up to 22.8 TWh/year of clean electricity to Italy (outside the scope of the CB RES project)”, the Commission said of the North African projects.

“This adopted list is now submitted to the European Parliament and the Council for a two-month period of scrutiny (this period may be extended by an additional two-month period upon their request) and it will only be formally published in the Official Journal after this period, and enter into force 20 days later”, it said.

On September 2 the Commission was scheduled to launch a new call for applications to join the CB RES list.

To contact the author, email [email protected]

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Quinas readies UltraRam, flash memory with DRAM speed

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7 Wi-Fi certifications to bolster wireless networking skills

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Microsoft’s hollow core fiber delivers the lowest signal loss ever

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Trader Tells Rigzone Why Crude Caught a Bid Tuesday

In an exclusive interview with Rigzone on Tuesday, Rebecca Babin, a senior equity trader for CIBC Private Wealth in New York, said crude was “bid” yesterday morning “on a mix of fundamentals, geopolitics, and positioning”. “The physical market remains tighter than expected for this time of year, with time spreads holding up well,” Babin told Rigzone. “In addition, OPEC exports have been undershooting expectations while demand numbers have been revised higher, giving more credence to strong underlying fundamentals,” Babin added. “Ukrainian strikes are beginning to impact Russian exports, adding to the geopolitical risk premium, and recent comments on potential Russian sanctions are further reinforcing that theme,” Babin continued, noting that, “at the same time, hopes for a ceasefire are fading”. Babin told Rigzone that positioning has also reset meaningfully. “Net long WTI exposure is at levels we haven’t seen since 2007-08, driven by twice as many new shorts as longs last week,” Babin said. “Taken together, I think the move higher in crude is justified, even against a softer macro backdrop,” Babin added. Rigzone has contacted OPEC, the Department of Information and Press of the Russian Ministry of Foreign Affairs, and the Press Office of the Ministry of Foreign Affairs of Ukraine for comment on Babin’s statement. At the time of writing, none of the above have responded to Rigzone. In a BMI report sent to Rigzone by the Fitch Group late Tuesday, BMI, a unit of Fitch Solutions, projected that the Brent crude oil price will average $68 per barrel in 2025, $67 per barrel in 2026, and $70 per barrel across 2027, 2028, and 2029. A Bloomberg consensus included in the report projected that Brent will average $68 per barrel this year, $65 per barrel next year, and $70 per barrel across 2027, 2028, and 2029. BMI highlighted in

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DET Starts Commercial Operations at Second LNG Terminal in Germany

Deutsche Energy Terminal GmbH’s (DET) second liquefied natural gas (LNG) terminal in Wilhelmshaven, Germany, has started commercial operations. The Wilhelmshaven 02 terminal, along with the floating storage and regasification unit (FSRU) Excelsior, is fully operational and able to contribute to filling gas storage facilities before the next heating season, DET said in a news release. Excelsior, built in 2005 by Excelerate Energy, is 909 feet (277 meters) long and has a storage capacity of 4.9 million cubic feet (138,000 cubic meters), with a regasification capacity of up to 500 million standard cubic feet per day. Located on the Wilhelmshaven 2 pier with access to the North Sea, the vessel is under a five-year charter by DET, the company said. Regasification capacity for the rest of the year and 2026 was fully allocated to traders, DET said. In 2025, Excelsior will feed up to 1.9 billion cubic meters of natural gas into the German gas grid. This corresponds to the annual natural gas consumption for heating 1.5 million four-person households in multi-family homes, DET said. In the next two years, Excelsior’s regasification and grid feed-in capacity will then reach up to 4.6 billion cubic meters each, equivalent to the annual heating energy required by up to 3.7 million four-person households, according to the release. DET Managing Director Peter Röttgen said, “Wilhelmshaven 02 combines several technologies that are unique in Germany and Europe, from the FSRU to onshore feed-in. On the one hand, there is ECOnnect’s flexible pipeline system for the direct transfer of natural gas to land without a pipe bridge. This has significantly reduced the impact on the seabed ecosystem. On the other hand, the ultrasonic process for cleaning the FSRU’s seawater pipeline system, which is unique in Europe, has now been put into operation. We would like to thank

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OPEC+ In Process of Retaking Market Share

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Libya Mega Gas Project Proposed for Revival

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EU Commission Names 5 New RE Projects for Potential CEF Funding

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Petronas Posts Lower Revenue for H1

Malaysia’s Petroliam Nasional Berhad (Petronas) has posted revenues of MYR 132.6 billion ($31.4 billion) for the first half of 2025, versus $41 billion for H1 2024. The company, in its report, attributed the decline to discontinued operations from the Engen Group divestment in May 2024, as well as unfavorable foreign exchange. Petronas also cited lower average realized prices from petroleum products, crude oil, and condensates following the downward trend in benchmark prices. Profit after tax was $6.2 billion, dropping 19 percent from H1 2024. EBITDA totaled $12.8 billion, lower by 15 percent in line with lower profits, Petronas said. “Petronas remains unwavering in our commitment to strengthen our business and portfolio resilience for long-term growth amid an increasingly challenging macro environment in the first half of 2025”, Muhammad Taufik, Petronas President and Group CEO. “Through the focused execution of our Energy Transition Strategy, portfolio optimization and prudent capital management, we are expediting a critical transformation to continue delivering energy safely, reliably and sustainably to those we serve”. Petronas said it expects oil prices to remain low due to ongoing geopolitical tensions, uncertainties in the macroeconomic landscape, changing regulatory conditions, and the swift reversal of OPEC+ production cuts, which will continually alter global energy dynamics and trade patterns. Petronas said it is focusing on providing advantaged hydrocarbons with reduced costs and emissions. This initiative is supported by numerous upstream discoveries and developments, especially in Malaysia, Suriname, Indonesia, and Angola, it said. The inaugural liquefied natural gas cargo from the LNG Canada facility also marked a strategic expansion of Petronas’ supply footprint. Petronas said it is enhancing its integrated low-carbon value chain through focused investments in solar energy and energy solutions hubs. To contact the author, email [email protected] What do you think? We’d love to hear from you, join the conversation on the Rigzone

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SAP data sovereignty service lets customers run cloud workloads inside their data centers

A range of developments, primarily geo-political in nature, have transformed this outlook. Now, sovereignty is as much tied up with the growing sense that operational, political, and even technological independence is essential, especially for EU-based enterprises. SAP has embraced this concern. “The digital resilience of Europe depends on sovereignty that is secure, scalable and future-ready,” said Martin Merz, president, SAP Sovereign Cloud. “SAP’s full-stack sovereign cloud offering delivers exactly that, giving customers the freedom to choose their deployment model while helping ensure compliance up to the highest standards.” This reflects the company’s commitment to supporting the EU’s “digital autonomy,” he said. The company has made digital sovereignty a strategic priority, and will invest €20 billion ($23.3 billion) to develop new digital sovereignty products for the EU as well as for other territories. A decade ago, the idea of cloud services promoted the notion of a single global infrastructure market. Now it looks just as likely that there will be a balkanization of global cloud infrastructure into geographical domains. “For decades, enterprises have handed over too much power to their cloud providers – power over infrastructure, power over availability, and most importantly, power over their own data,” commented Garima Kapoor, co-founder and co-CEO of US AI object storage company, MinIO. “CIOs are realizing that outsourcing control to a public cloud provider is no longer an option. The concept of sovereignty is evolving. It’s no longer just as a means of maintaining compliance with data regulations but is now viewed as a strategic and architectural imperative for enterprises that want to own their digital destiny,” she said.

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Alibaba Cloud tweaks software for networking efficiency gains

Alibaba Cloud said that it has been using ZooRoute in AliCloud for the last 18 months, where it has reduced outage time by 92.71%. Nezha for network performance in high-demand VMs Another software upgrade is helping Alibaba Cloud maintain network performance for high-demand virtual machines (VMs) without spending more on SmartNIC-accelerated virtual switches (vSwitches). Nezha, a distributed vSwitch load-sharing system, identifies idle SmartNICs and uses them to create a remote resource pool for high-demand virtual NICs (vNICs). Alibaba has tested the system in its data centers for a year and said in the paper that “Nezha effectively resolves vSwitch overloads and removes it as a bottleneck.” With the number of concurrent flows improved by up to 50x, and the number of vNICs by up to 40x, the bottleneck s now the VM kernel stack, the researchers wrote. Dai’s Forrester said that Nezha’s stateless offloading and cluster-wide pooling design is superior to solutions being pursued by rival cloud service providers. Separately, Alibaba’s cloud computing division has also been working on another software update that will enable it to provide better network performance for AI workloads.

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AI networking success requires deep, real-time observability

Most research participants also told us they need to improve visibility into their data center network fabrics and WAN edge connectivity services. (See also: 10 network observability certifications to boost IT operations skills) The need for real-time data Observability of AI networks will require many enterprises to optimize how their tools collect network data. For instance, most observability tools rely on SNMP polling to pull metrics from network infrastructure, and these tools typically poll devices at five minute intervals. Shorter polling intervals can adversely impact network performance and tool performance. Sixty-nine percent of survey participants told EMA that AI networks require real-time infrastructure monitoring that SNMP simply cannot support. Real-time telemetry closes visibility gaps. For instance, AI traffic bursts that create congestion and packet drops may last only seconds, an issue that a five-minute polling interval would miss entirely. To achieve this level of metric granularity, network teams will have to adopt streaming network telemetry. Unfortunately, support of such technology is still uneven among network infrastructure and network observability vendors due to a lack of industry standardization and a perception among vendors that customers simply don’t need it. Well, AI is about to create a lot of demand for it.  In parallel to the need for granular infrastructure metrics, 51% of respondents told EMA that they need more real-time network flow monitoring. In general, network flow technologies such as NetFlow and IPFIX can deliver data nearly in real-time, with delays of seconds or a couple minutes depending on the implementation. However, other technologies are less timely. In particular, the VPC flow logs generated by cloud providers are do not offer the same data granularity. Network teams may need to turn to real-time packet monitoring to close cloud visibility gaps.  Smarter analysis for smarter networks Network teams also need their network

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Equinix Bets on Nuclear and Fuel Cells to Meet Exploding Data Center Energy Demand

A New Chapter in Data Center Energy Strategy Equinix’s strategic investments in advanced nuclear and fuel cell technologies mark a pivotal moment in the evolution of data center energy infrastructure. By proactively securing power sources like Oklo’s fast reactors and Radiant’s microreactors, Equinix is not merely adapting to the industry’s growing energy demands but is actively shaping the future of sustainable, resilient power solutions. This forward-thinking approach is mirrored across the tech sector. Google, for instance, has partnered with Kairos Power to develop small modular reactors (SMRs) in Tennessee, aiming to supply power to its data centers by 2030 . Similarly, Amazon has committed to deploying 5 gigawatts of nuclear energy through partnerships with Dominion Energy and X-energy, underscoring the industry’s collective shift towards nuclear energy as a viable solution to meet escalating power needs . The urgency of these initiatives is underscored by projections from the U.S. Department of Energy, which anticipates data center electricity demand could rise to 6.7%–12% of total U.S. production by 2028, up from 4.4% in 2023. This surge, primarily driven by AI technologies, is straining existing grid infrastructure and prompting both public and private sectors to explore innovative solutions. Equinix’s approach, i.e. investing in both immediate and long-term energy solutions, sets a precedent for the industry. By integrating fuel cells for near-term needs and committing to advanced nuclear projects for future scalability, Equinix exemplifies a balanced strategy that addresses current challenges while preparing for future demands. As the industry moves forward, the collaboration between data center operators, energy providers, and policymakers will be crucial. The path to a sustainable, resilient energy future for data centers lies in continued innovation, strategic partnerships, and a shared commitment to meeting the digital economy’s power needs responsibly.

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Evolving to Meet AI-Era Data Center Power Demands: A Conversation with Rehlko CEO Brian Melka

On the latest episode of the Data Center Frontier Show Podcast, we sat down with Brian Melka, CEO of Rehlko, to explore how the century-old mission-critical power provider is reinventing itself to support the new realities of AI-driven data center growth. Rehlko, formerly known as Kohler Energy, rebranded a year ago but continues to draw on more than a century of experience in power generation and backup systems. Melka emphasized that while the name has changed, the mission has not: delivering reliable, scalable, and flexible energy solutions to support always-on digital infrastructure. Meeting Surging AI Power Demands Asked how Rehlko is evolving to support the next wave of data center development, Melka pointed to two major dynamics shaping the market: Unprecedented capacity needs driven by AI training and inference. New, “spiky” usage patterns that strain traditional backup systems. “Power generation is something we’ve been doing longer than anyone else, starting in 1920,” Melka noted. “As we look forward, it’s not just about the scale of backup power required — it’s about responsiveness. AI has very large short-duration power demands that put real strain on traditional systems.” To address this, Rehlko is scaling its production capacity fourfold over the next three to four years, while also leveraging its global in-house EPC (engineering, procurement, construction) capabilities to design and deliver hybrid systems. These combine diesel or gas generation with battery storage and short-duration modulation, creating a more responsive power backbone for AI data centers. “We’re the only ones out there that can deliver that breadth of capability on a full turnkey basis,” Melka said. “It positions us to support customers as they navigate these new patterns of energy demand.” Speed to Power Becomes a Priority In today’s market, “speed to power” has become the defining theme. Developers and operators are increasingly considering

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Data Center Chip Giants Negotiate Political Moves, Tariffs, and Corporate Strategies

And with the current restrictions being placed on US manufacturers selling AI parts to China, reporting says NVIDIA is developing a Blackwell-based China chip, more capable than the current H20 but still structured to comply with U.S. export rules. Reuters reported that it would be  a single-die design (roughly half the compute of the dual-die B300), with HBM and NVLink, sampling as soon as next month. A second compliant workstation/inference product (RTX6000D) is also in development. Chinese agencies have reportedly discouraged use of NVIDIA H20 in government work, favoring Huawei Ascend. However, there have been reports describing AI training using the Ascend to be “challenging”, forcing some AI firms to revert to NVIDIA for large-scale training while using Ascend for inference. This keeps China demand alive for compliant NVIDIA/AMD parts—hence the U.S. interest in revenue-sharing. Meanwhile, AMD made its announcements at June’s “Advancing AI 2025” to set MI350 (CDNA 4) expectations and a yearly rollout rhythm that’s designed to erase NVIDIA’s time lead as much as fight on absolute perf/Watt. If MI350 systems ramp aligns with major cloud designs in 2026, AMD’s near-term objective is defending MI300X momentum while converting large customers to multi-vendor strategies (often pairing MI clusters with NVIDIA estates for redundancy and price leverage). The 15% China license fee will shape how AMD prices MI-series export SKUs and whether Chinese hyperscalers still prefer them to the domestic alternative (Huawei Ascend), which continue to face software/toolchain challenges. If Chinese buyers balk or Beijing discourages purchases, the revenue-share may be moot; if they don’t, AMD has a path to keep seats warm in China while building MI350 demand elsewhere. Beyond China export licenses, the U.S. and EU recently averted a larger trade war by settling near 15% on certain sectors, which included semiconductors, as opposed to the far more

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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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The connected customer

In partnership withNiCE As brands compete for increasingly price conscious consumers, customer experience (CX) has become a decisive differentiator. Yet many struggle to deliver, constrained

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