DiscoverChinAI Newsletter“ChinAI #305: Computing Power Shifts in the AI Inference Era” by Jeffrey Ding
“ChinAI #305: Computing Power Shifts in the AI Inference Era” by Jeffrey Ding

“ChinAI #305: Computing Power Shifts in the AI Inference Era” by Jeffrey Ding

Update: 2025-03-24
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Thank you for reading and engaging



These are Jeff Ding's (sometimes) weekly translations of Chinese-language musings on AI and related topics. Jeff is an Assistant Professor of Political Science at George Washington University.



Check out the archive of all past issues here & please subscribe here to support ChinAI under a Guardian/Wikipedia-style tipping model (everyone gets the same content but those who can pay for a subscription will support access for all).



Any suggestions or feedback? Let me know at chinainewsletter@gmail.com or on Twitter at @jjding99

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First published:

March 24th, 2025



Source:

https://chinai.substack.com/p/chinai-305-computing-power-shifts


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Narrated by TYPE III AUDIO.


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Images from the article:

Slide translation: Computing power aggregation: Drawing support from the existing computing power supplier network, integrating intelligent computing resources from various regions building distributed inference cloud services. 1000P+ computing power; 1200+ city coverage; 3900+ computing power nodes.

Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

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“ChinAI #305: Computing Power Shifts in the AI Inference Era” by Jeffrey Ding

“ChinAI #305: Computing Power Shifts in the AI Inference Era” by Jeffrey Ding