In today’s briefing:
- Ohayo Japan|Global Yields Hit 20Yr High, Tech Investors Head for Exits; NUGGET: Trapped in Russia?
- China Property Developers In Distress – Weekly News & Announcements Tracker | 11-17 August 2023
- Southeast Asia Is Looking Mighty Fine to China’s Data Center Firms
Ohayo Japan|Global Yields Hit 20Yr High, Tech Investors Head for Exits; NUGGET: Trapped in Russia?
- OVERSEAS. Global Yields hit 20 year high; US Yield continue upward trajectory; US Mortgage Rates above 7%; Tech Investors heading to exits; China steps up battle to protect Yuan.
- JAPAN. NKY Futures -0.9% vs Cash; USDJPY 145.9; Japan Authorities adopt wait and see approach on the USDJPY; Unpopular Kishida to call snap election ?
- NUGGET. Russia-Ukraine conflict/proxy war vs West recently saw Russia seizing the local operations of Calsberg and Danone. Japanese companies hanging in Russia could be at risk.
China Property Developers In Distress – Weekly News & Announcements Tracker | 11-17 August 2023
- A weekly curated selection of Chinese news articles and company announcements focused on developers in distress
- We look for their deals, updates, specific project progress news (‘local signals’), as well as relevant local research commentaries about the market
- We do not verify the underlying data or provide any opinion, we only select and summarize the information; see direct links to sources
Southeast Asia Is Looking Mighty Fine to China’s Data Center Firms
- Chinese data center firms are ramping up their overseas expansion to ride the artificial intelligence (AI) wave, especially in Southeast Asia, said a senior executive at GDS Holdings Ltd., one of the country’s largest data center operators.
- While traditional computing requires proximity to the end-use market, AI computing power is more oriented towards natural resources, and Southeast Asia has both resources and cost advantages, said Jimmy Yu, senior vice president of international business at GDS in an interview with Caixin on July 27.
- “Developing AI computing power requires a resource-rich region to carry out training and inference in large models. Southeast Asia has rich land and power resources, and the costs are much lower than in the Middle East, Americas, or Europe,” Yu said.
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