Urgent.News

What's breaking now, across thousands of outlets.

AI

Sources: Chinese AI chipmakers Huawei, Cambricon, MetaX, and Iluvatar CoreX have raised prices for current and next-gen chips by 20%-50% due to rising HBM costs (Reuters)

Chinese AI chipmakers including Huawei Technologies [RIC:RIC:HWT.UL] and Cambricon (688256.SS) have sharply raised prices …

Chinese AI chipmakers Huawei, Cambricon, MetaX, and Iluvatar CoreX have increased prices for their current and next-generation chips by 20-50%. According to Reuters, this price hike is due to rising HBM costs.

Several Chinese AI firms are preparing for initial public offerings. DeepSeek, a frontier artificial intelligence lab, has hired underwriters, including Citic Securities, for a domestic IPO on the Shanghai Stock Exchange's Star market. The company is valued at around 500 billion yuan, or $74 billion, before investment.

DeepSeek is not the only firm pursuing an IPO. Moonshot AI, a Beijing-based company, has confidentially filed for a Hong Kong IPO and is valued at around $50 billion before the IPO, aiming to raise $3-5 billion. Other firms, such as Z.ai and MiniMax, have also been working towards funding and IPOs.

Brief written by urgent.news from Techmeme, South China Morning Post, SCMP Tech, SCMP Business — 4 reports on this story. Machine-written — may contain errors; check the original before relying on it.

This story

This is one outlet's version. Read the fullest account.

Read the original at reuters.com →

More in AI

New German AI research lab Grubel raises €3 million to build systems that adapt to individual legal cases

Grubel, a Munich- and Tübingen-based AI research lab developing systems that adapt to individual legal matters, has raised €3 million in pre-Seed funding to support research, product development, and…

  • Grubel, an AI lab in Munich and Tübingen, raises €3 million for legal case-specific AI systems.
  • Investment led by Point Nine and angel investors Jeff Dean, Chris Ré, Ion Stoica, and Gabe Pereyra.
  • Grubel's co-founder Reinhard Heckel explains need for AI adaptation in complex legal matters.

More from Thursday 10 September →