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ChinAI Newsletter

“ChinAI #249: China’s idle AI computing centers” by Jeffrey Ding

Jan 8, 2024
In this podcast, Jeff Ding discusses the issue of high idle rates in China's computing centers and the challenges they pose. The conversation also explores the implementation gap for large language models and the unfair scrutiny faced by Asian American officials. Furthermore, the podcast delves into investigative reporting on China, Hong Kong, and Taiwan, along with China's strategy in the AI race.
07:04

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • The construction of idle AI computing centers in China is a result of irresponsible investments and insufficient demand, leading to high operating costs and unsustainability.
  • Asian American officials are facing unfair scrutiny and job restrictions in the US-China espionage shadow war, highlighting the treatment of foreign-born Chinese Americans and its impact on American interests.

Deep dives

High Idle Rates in China's Computing Centers

The construction of intelligent computing centers has been on the rise in China due to the increased interest in large models. However, a report highlights a major issue of these centers remaining idle or shutting down due to irresponsible investments and insufficient demand. The operating and depreciation costs of these centers, particularly at the 10,000 GPU scale, are extremely high, estimated at around 1 billion Renman B annually. The lack of impressive large model native applications and the focus on training rather than inference contributes to the unsustainable demand for these centers.

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