Hong Kong firm bets on Chinese open-weight models to rival CoreWeave
The rise of Chinese open-weight models has shaken up the global artificial intelligence (AI) market in recent months. With China’s systems offering high performance at a lower cost, businesses around the world are looking at shifting away from Silicon Valley’s leading providers. Now, a new Hong Kong-based company aims to turn that trend into a billion-dollar business. The “neo-cloud” provider…
A new Hong Kong-based company, Antimatter, is capitalizing on the growing popularity of Chinese open-weight models to challenge the dominance of US AI infrastructure providers like CoreWeave. As the global demand for AI continues to surge, businesses are seeking alternatives to US tech giants, with many opting for closed frontier AI models that offer potential cost savings and greater data control.
Antimatter, founded in May, is a collaborative effort between Data Factory, a US energy provider, PoliCloud, a French modular data centre operator, and HiveNet, a Swiss AI inference platform. The company's goal is to provide specialized cloud infrastructure tailored to AI workloads running on high-performance GPUs, with a focus on the neo-cloud sector.
Antimatter expects to see substantial growth in the coming years, with revenue projected to reach €1 billion by 2028. The company is currently raising €300 million in equity financing and has already secured a significant deal with a French accounting firm, which reduced its AI costs by 40% by deploying Antimatter's infrastructure.
By the end of the year, Antimatter aims to deploy 100 Policloud data centres, housing over 40,000 GPUs, and plans to expand to 1,000 Policlouds with more than 400,000 GPUs by 2030. Antimatter's research and development team is actively testing chips from various Chinese suppliers and working to optimize them for different large language models.
Written by urgent.news from SCMP Tech's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
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