About Iluvatar CoreX
Iluvatar CoreX designs general-purpose GPUs for AI training and inference, along with the software stack and systems that run on them. Its Tiangai series targets training and its Zhikai series targets inference, and it also sells edge chips. General-purpose here means the chips are programmable like Nvidia GPUs, not fixed to one task. The company is based in Shanghai and listed on the Hong Kong Stock Exchange on 8 January 2026 under the ticker 9903. Wikipedia dates its founding to December 2015.
Iluvatar CoreX was founded in 2015 and is based in Shanghai, China. It is listed under GPUs, AI Accelerators. Reported funding is HKEX IPO Jan 2026 raised ~$474M.
Compute Technologies
- GPUs
- AI Accelerators
What Iluvatar CoreX works on
GPUs
A GPU, or graphics processing unit, is a chip with thousands of small cores that can run the same operation on a lot of data at the same time. It was first built to draw images in games. The same design suits any job that applies simple maths to large arrays of numbers.
AI Accelerators
An AI accelerator is a chip, or a part of a chip, designed to run machine learning faster or with less energy than a general-purpose processor. The category includes GPUs, TPUs, neural processing units (NPUs) and chips from many startups.
Also in China
Biren Technology, VeriSilicon, Denglin Technology, Moore Threads, Shanghai Tianshu Zhixin
