Iluvatar Corex

Manufacturer

Iluvatar Corex: Leading Chinese GPGPU and AI Computing Solutions Provider Iluvatar Corex (Tianshu Zhixin) is a premier Chinese developer of high-performance general-purpose GPU (GPGPU) chips and integrated computing systems. The company is dedicated to creating independent, globally competitive, and sustainable computing engines to power the AI era. Core Product Lines The company’s hardware portfolio is built around three main series designed for diverse computational needs: Tiangai (天垓) Series: Specialized for high-end cloud training. The Tiangai 100, released in March 2021, was China’s first fully self-developed cloud-based training chip using a GPU architecture, marking a significant technological breakthrough. It supports traditional machine learning, encryption, and digital signal processing. Zhikai (智铠) Series: Focused on AI inference. With the launch of Zhikai 100 in December 2022, Iluvatar Corex became the only domestic provider capable of offering a complete "training + inference" solution under a unified GPU architecture. This chip supports multi-precision computing (FP32, FP16, INT8) and advanced video decoding. Tongyang (彤央) Series: Includes models such as the TY1000, TY1100, and TY1200. Software Stack: All hardware is supported by the proprietary Tianshu Zhisuan (天数智算) software stack. Community and Ecosystem Iluvatar Corex leads the DeepSpark Open Source Community. This platform is designed to build a collaborative ecosystem for AI and general computing, featuring hundreds of open-source algorithms and models tailored for various industry scenarios to help customers accelerate application deployment. Market Applications Their solutions are widely applied across multiple sectors, including: Finance and Retail: Data processing and analytics. Healthcare and Education: Intelligent diagnostics and educational platforms. Smart Manufacturing and Energy: Industrial automation and resource exploration. Autonomous Driving: Supporting vehicle-road coordination systems. Multimedia: Content generation, modeling, and rendering.