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Vidya Ranganathan on Muck Rack

Vidya Ranganathan

Verified
  • Global Breaking News Editor, Finance and Market, Reuters
Singapore
As seen in: Reuters, MSN, MSN Canada, MSN Money Canada, MSN Singapore, MSN UK, UOL, Business Insider, Daily Mail, ETCIO, ETTelecom and
Reuters global breaking news editor for financial & markets news. Interested in market intelligence, flows, quirks, deals, charts...
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Articles

Private credit roundup: Blue Owl redemptions ease, tech and refinancing risks persist

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By Patturaja Murugaboopathy, Vidya Ranganathan Verified
| MarketScreener
Oct 5 (Reuters) - Withdrawal requests at Blue Owl Capital's flagship non-traded private credit fund dropped again in the third quarter, signalling redemption pressure is easing across parts of the US market even as stress remains in some vehicles and refinancing risks loom. Investors sought to withdraw $4.2 billion from Blue Owl's two non-traded private credit funds in the quarter, down from $4.7 billion in the second quarter and a record $5.4 billion in the first.
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Private credit roundup: Nvidia's half trillion for chips financing, plus others

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By Vidya Ranganathan Verified
| Zawya Verified
Nvidia's colossal financing deal for AI infrastructure buildouts is the talk of private markets this week. The chip giant said it has partnered with six major financial institutions to launch compute financing platforms aimed ‌at raising over $500 billion in third-party capital for AI infrastructure. The move shows how surging demand for AI computing capacity is drawing institutional investors, as governments, companies and startups race to build out data centres to support AI workloads.
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AI data-centre race builds $1 trillion lease burden for Big Tech

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By Vidya Ranganathan Verified, Patturaja Murugaboopathy
| techpartner.news Verified
Microsoft Corp, Meta Platforms Inc, Oracle Corp, Amazon and Alphabet have ⁠committed about $1.09 ⁠trillion in future payments under leases that have not yet begun, mostly for data centres needed to power the artificial intelligence boom. The commitments show that a substantial part of Big Tech's AI spending spree has already been locked in, ‌without yet appearing as debt-like lease liabilities on company balance ‌sheets.
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