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Naftogaz Secures Preliminary Deal for Winter LNG from Greece’s DEPA

Greece’s state-owned DEPA Commercial SMSA on Sunday signed a letter of intent (LOI) to supply Ukraine an unspecified volume of liquefied natural gas (LNG) from the United States for the 2025-26 winter via Ukraine’s state-owned Naftogaz Group. This follows Naftogaz’s agreement earlier this month with Atlantic-See LNG Trade SA, formed early November by DEPA and […]

Greece’s state-owned DEPA Commercial SMSA on Sunday signed a letter of intent (LOI) to supply Ukraine an unspecified volume of liquefied natural gas (LNG) from the United States for the 2025-26 winter via Ukraine’s state-owned Naftogaz Group.

This follows Naftogaz’s agreement earlier this month with Atlantic-See LNG Trade SA, formed early November by DEPA and Aktor Group, for the importation of LNG from the U.S. into Ukraine and other European countries.

Naftogaz and Atlantic-See “agreed to jointly develop the supply of LNG from the U.S. to Europe and Ukraine through Greek LNG terminals and the Vertical Corridor”, Naftogaz said in a statement on its website November 7.

DEPA Commercial chief executive Konstantinos Xifaras said in an online statement Sunday about the LOI, “The supply of U.S. LNG will be facilitated through Atlantic-See, in which DEPA holds a 40 percent stake, underlining the company’s commitment to providing practical and secure energy solutions across Southeast Europe”.

DEPA Commercial said, “Under the framework of the prospective agreement, LNG volumes originating from the U.S. are expected to be transported through ‘Route 1’ [of the Vertical Corridor], offered jointly by the gas transmission system operators (TSOs) of Greece (DESFA), Bulgaria (Bulgartransgaz), Romania (Transgaz), Moldova (VestMoldTransgaz) and Ukraine (GTSOU)”.

Newly Proposed Gas Routes

Recently the TSOs requested their national regulators to approve more flows on the Vertical Corridor, a network of existing gas infrastructure allowing multidirectional flow across seven European countries, via two routes: Routes 2 and 3.

“TSOs request the regulators’ approval on the availability of Routes 2 and 3 until April 2026; and the possibility of simultaneous provision of Route 1, Route 2 and Route 3 special capacity products in competing auctions”, said a statement posted on DESFA’s website November 7, announcing a joint letter to regulators.

“All participating TSOs have agreed to apply significant discounts – ranging from 25 percent to 50 percent across their interconnection points, to encourage market use of the new capacity and facilitate diversified gas flows. The coordinated tariff reductions and the availability of multiple route options will help mitigate potential disruptions, support uninterrupted deliveries to Ukraine, and ensure the most efficient use of existing infrastructure across the region.

“The TSOs underline that as identified by the European Commission, the Trans-Balkan corridor, part of the Vertical Corridor, is a key component of the EU’s strategy to diversify gas transportation and phaseout reliance on Russian gas. Approving the availability of Routes 2 and 3 is directly in line with this strategy, as it leverages LNG and Caspian gas to reinforce long-term energy security and market integration”.

Route 2 would start at the Amfitriti interconnection point on the DESFA grid, cross the Greece-Bulgaria interconnector (ICGB) and continue through the Trans-Balkan corridor. Route 3 would originate at the ICGB pipeline’s interconnection point with TAP and continue through the same path, according to the statement.

“Faster approval of these additional products will significantly enhance the potential for LNG to reach Ukraine via Greek terminals, strengthening energy security and enabling traders to select the optimal supply routes based on their needs”, the statement said.

EIB Grant

On November 13 Naftogaz and the European Investment Bank (EIB) announced a grant of EUR 127 million ($147.3 million) for the procurement of gas for Ukraine, in addition to a EUR 300-milllion EIB loan to Naftogaz that was disbursed October for the same purpose.

The loans are guaranteed under the Ukraine Investment Framework, part of the European Union’s Ukraine Facility. The facility is a platform to mobilize up to EUR 50 billion – EUR 33 billion in loans and EUR 17 billion in grants – from 2024 to 2027, according to the European Council, which gave the final greenlight for the facility February 2024. The UIF aims to mobilize up to EUR 40 billion of investments for recovery, reconstruction and modernization, according to its implementer the European Commission.

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AMD outlines ambitious plan for AI-driven data centers

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Building the Regional Edge: DartPoints CEO Scott Willis on High-Density AI Workloads in Non-Tier-One Markets

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Key takeaways from Cisco Partner Summit

Brian Ortbals, senior vice president from World Wide Technology, which is one of Cisco’s biggest and most important partners stated: “Cisco engaged partners early in the process and took our feedback along the way. We believe now is the right time for these changes as it will enable us to capitalize on the changes in the market.” The reality is, the more successful its more-than-half-a-million partners are, the more successful Cisco will be. Platform approach is coming together When Jeetu Patel took the reigns as chief product officer, one of his goals was to make the Cisco portfolio a “force multiple.” Patel has stated repeatedly that, historically, Cisco acted more as a technology holding company with good products in networking, security, collaboration, data center and other areas. In this case, product breadth was not an advantage, as everything must be sold as “best of breed,” which is a tough ask of the salesforce and partner community. Since then, there have been many examples of the coming together of the portfolio to create products that leverage the breadth of the platform. The latest is the Unified Edge appliance, an all-in-one solution that brings together compute, networking, storage and security. Cisco has been aggressive with AI products in the data center, and Cisco Unified Edge compliments that work with a device designed to bring AI to edge locations. This is ideally suited for retail, manufacturing, healthcare, factories and other industries where it’s more cost effecting and performative to run AI where the data lives.

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AI networking demand fueled Cisco’s upbeat Q1 financials

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When the Cloud Leaves Earth: Google and NVIDIA Test Space Data Centers for the Orbital AI Era

On November 4, 2025, Google unveiled Project Suncatcher, a moonshot research initiative exploring the feasibility of AI data centers in space. The concept envisions constellations of solar-powered satellites in Low Earth Orbit (LEO), each equipped with Tensor Processing Units (TPUs) and interconnected via free-space optical laser links. Google’s stated objective is to launch prototype satellites by early 2027 to test the idea and evaluate scaling paths if the technology proves viable. Rather than a commitment to move production AI workloads off-planet, Suncatcher represents a time-bound research program designed to validate whether solar-powered, laser-linked LEO constellations can augment terrestrial AI factories, particularly for power-intensive, latency-tolerant tasks. The 2025–2027 window effectively serves as a go/no-go phase to assess key technical hurdles including thermal management, radiation resilience, launch economics, and optical-link reliability. If these milestones are met, Suncatcher could signal the emergence of a new cloud tier: one that scales AI with solar energy rather than substations. Inside Google’s Suncatcher Vision Google has released a detailed technical paper titled “Towards a Future Space-Based, Highly Scalable AI Infrastructure Design.” The accompanying Google Research blog describes Project Suncatcher as “a moonshot exploring a new frontier” – an early-stage effort to test whether AI compute clusters in orbit can become a viable complement to terrestrial data centers. The paper outlines several foundational design concepts: Orbit and Power Project Suncatcher targets Low Earth Orbit (LEO), where solar irradiance is significantly higher and can remain continuous in specific orbital paths. Google emphasizes that space-based solar generation will serve as the primary power source for the TPU-equipped satellites. Compute and Interconnect Each satellite would host Tensor Processing Unit (TPU) accelerators, forming a constellation connected through free-space optical inter-satellite links (ISLs). Together, these would function as a disaggregated orbital AI cluster, capable of executing large-scale batch and training workloads. Downlink

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John Deere unveils more autonomous farm machines to address skill labor shortage

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2025 playbook for enterprise AI success, from agents to evals

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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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