Blackstone, DeepSeek and data center

Blackstone holds firm on data center investments despite DeepSeek turmoil
Blackstone said on Thursday its massive investments in data centers would not be undermined by the low-cost artificial intelligence models from China's DeepSeek, as the need for physical infrastructure was still vital for AI.
How DeepSeek could impact Blackstone's $100-billion data-center bet. 'We're watching what's happening very closely.'
Blackstone is a leading investor in data centers and other computing infrastructure. COO Jon Gray addressed the DeepSeek threat in an earnings call.
Blackstone Still Bullish on A.I. Data Centers Despite DeepSeek
Blackstone, a major global investor in data centers that run A.I. systems, expects use of the technology to rise as the cost of computing power falls.
Big Tech Firms, Blackstone Tamp Down DeepSeek Data Center Fears
Meta, Microsoft and Blackstone executives say DeepSeek's advancements in AI training won't impact data center demand — at least not yet.
Blackstone defends data center investment vision, but admits it's watching DeepSeek concerns "very closely"
Blackstone took a defensive stance in its latest earnings call after China's DeepSeek caused tech stocks to tumble. After previously using the call to push the benefits of AI infrastructure, the subject was not broached until Morgan Stanley asked about DeepSeek-instigated data center buildout concerns.
Blackstone defends $80bn data centre investment as DeepSeek shakes market
Blackstone generated $2.2bn in distributable earnings in the quarter, a proxy for cash flows favoured by analysts, significantly beating forecasts. Those results were buoyed by $1.4bn in performance revenues earned mostly from perpetual infrastructure and credit funds that either own or lend money to data centres.
Why DeepSeek Is Great for AI and HPC and No Big Deal for Data Centers
The announcement of DeepSeek's R1 model led to significant market reactions, with notable declines in tech stocks, including a substantial drop in Nvidia's valuation. This downturn was driven by concerns that more efficient AI models could reduce the demand for high-end hardware and, by extension, the expansive data centers that house them.
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