Neocloud Lambda secures $1 billion in private debt to acquire Nvidia AI chips for lease to Microsoft
The AI cloud company, which buys and rents out computing chips, raised the short-dated debt in a deal arranged by JPMorgan Chase. This latest financing follows a $1 billion secured credit facility in May and a $926 million loan this week to fund Nvidia GB300 GPUs for Nvidia itself. The move underscores the high cost of the AI boom, with over $400 billion in AI-related debt raised globally in 2026 so far.
No AI analysis yet. Tap the "AI Analysis" button above to generate one now.
Disclaimer: This content reflects the author's personal views only and does not constitute investment advice.
24H Trending
-
1
China's futures exchanges to tighten leash on quant trading, defining violations and punishments
-
2
Bybit Launches USDC-Funded Trading for Over 1,000 US Stocks and ETFs
-
3
The 2026 Nobel Memorial Prize in Economic Sciences has been awarded to Robert E. Hall and Michael Woodford.
-
4
Saudi Arabia plans to increase its oil export capacity beyond the Persian Gulf to 10 million barrels per day within two years, and will temporarily use natural gas pipelines for oil transport.
-
5
Dutch pensions manager PGGM agrees to take on part of the risk on €5 billion of ING loans backing energy transition
-
6
Harneys and dropRWA plan Bermuda tokenized catastrophe bond issuance next year, aiming to bridge disaster-insurance gap
-
7
Yemen's Southern Giants Brigades cut off the main road connecting Mocha and the Bab al-Mandab Strait, marking the first major military achievement for anti-Houthi forces in years.
-
8
Iran escalates attacks on "non-compliant" oil tankers, putting crude oil shipments through the Strait of Hormuz under pressure, with multiple empty VLCCs avoiding the Persian Gulf.
-
9
Iran's Revolutionary Guard Corps states it has designated the "US-UAE" Strait of Hormuz oil shuttle system as a clear target.
-
10
XRP Ledger Foundation Faces Backlash Over Low Bounty Payouts for Critical Bug
Markets Today
Recommended Reading


