Power & Sites · Asia-Pacific

Socomec Expands Investment in South Korea’s AI Data Center Power Market

Credited to TheElec · thelec.net · 20h ago

French power solutions provider Socomec plans to increase investment in South Korea, expanding its power infrastructure business with a focus on artificial intelligence (AI) data centers and the semiconductor industry.

Socomec Korea said on Nov. 6 that it held its “2026 Designer Day Korea” event at the JW Marriott Hotel in Seoul on Nov. 5. Attendees included representatives from domestic data center developers, architectural design firms and engineering companies.

At the event, Socomec introduced next-generation power supply technologies for AI data centers and high-efficiency power system designs. It also unveiled DELPHYS XL+, a new uninterruptible power supply (UPS) incorporating silicon carbide (SiC) power semiconductors. The product is designed to address rising power density in data centers as high-performance graphics processing unit (GPU) servers become more widespread.

Socomec has been expanding its South Korean operations since appointing Yu Gi-tae as country manager in April. Yu is an engineer with more than 20 years of experience in power infrastructure.

The company plans to strengthen its sales and service organizations focused on data centers and the semiconductor industry while expanding technical support for domestic customers. It also intends to broaden its power solutions business into biotechnology and advanced industrial facilities.

“South Korea is an important strategic market for data centers and digital infrastructure,” said Wai Tai Yeap, Socomec’s Asia-Pacific managing director. “We will build long-term partnerships with Korean customers and expand our investment and support.”

Founded in 1922, Socomec specializes in power solutions, supplying UPS systems, static transfer switches (STS), energy storage systems (ESS) and power monitoring systems. The company currently operates in approximately 80 countries worldwide.

Chips & SupplyAsia-Pacific

Global AI memory crunch drives Taiwan to launch advanced memory initiative

Credited to DigiTimes$ · digitimes.com16h ago

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The boom in AI demand has triggered a global memory crunch, creating persistent supply shortages and price hikes. The market is currently dominated by Samsung Electronics, SK Hynix, and Micron Technology. While China's ChangXin Memory Technologies (CXMT) has expanded its…

View the article · $DigiTimes

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Models & Labs · Asia-Pacific

The gap between open and closed AI models in cyber capabilities keeps shrinking

Credited to The Decoder · the-decoder.com · 13h ago

AI agents can break into realistic corporate networks on their own, Vals AI finds

The Vals CyberOffense benchmark simulates realistic corporate networks to test this. Each agent operates solo on an isolated attack machine, starting with nothing but a public web address and zero human help.

GPT-6 Sol, part of OpenAI's restricted Daybreak cyber program, posted the best result at 80.8 percent of objectives. Deepseek V4.1 Flash 1017, a freely available open-weight model, isn't far behind at 72.8 percent and costs only about $3 per run instead of roughly $22. Once a model's weights are public, no provider can control or restrict how it's used, Vals researchers say. Ad

In the harder Lighthouse test, Daybreak took over admin control of the first company, stole passwords, and used them to break into the second company. It completed 27 of 31 objectives in under three hours. Deepseek managed 21 objectives at a tenth of the cost and wasn't limited solely by safety guardrails. Ad

Longer runtimes turned out to be critical as well. Deepseek scored zero results in its first 25 million tokens and made most of its progress only after 100 million tokens. Short tests therefore underestimate the real potential of open models.

Vals points out that the same findings create an opportunity for defenders, because the very models that exploit vulnerabilities can help companies find and fix them first. Attacks on real networks are likely to increase in the coming months, according to Vals. Ad

Open models close the gap fast, earlier studies confirm

The results align with a recent analysis by the UK's AI Security Institute (AISI) from July. The gap between open and closed frontier models in cyber capabilities has shrunk to four to seven months. For most of 2025, that gap still stood at six to ten months.

Open models are also much cheaper. A cyber-range run with Deepseek V4-Pro costs just $1.19 according to AISI, compared with $85 for Anthropic's Opus 4.5. The safety measures on the open models proved largely ineffective. Ad

A recent study by Anthropic also showed that the freely available model GLM-5-3 can build exploits at nearly the same level as the internal top model Mythos. Ad

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