en.Wedoany.com Reported - Suanova Technology Limited, a wholly-owned subsidiary of Yeebo (International Holdings) Limited (stock code: 00259.HK), has signed a comprehensive strategic cooperation agreement with InfiX.ai, a global provider of enterprise-level generative AI infrastructure solutions. The two parties will leverage Suanova's self-developed high-density computing infrastructure, "Shanghai Cube," to jointly advance the deployment of a training-inference integrated AI platform with continuous self-learning capabilities in the healthcare sector. As part of the collaboration, Suanova will contribute its expertise in domestic computing infrastructure, providing core computing power and foundational support. Focusing initially on healthcare, the partners have already initiated clinical validation with leading medical institutions in areas such as generative AI for cancer, foundational large language models for basic medicine, and personalized cancer treatment plans.
The training-inference integrated AI platform deployed under this cooperation is powered by Shanghai Cube, combining InfiX.ai's training, inference, and multimodal AI capabilities to build a unified, integrated hardware-software medical AI infrastructure. Developed with Suanova's participation, Shanghai Cube is one of the first products of its kind in China and currently the highest-density domestic GPU supernode product. It adopts a high-density deployment architecture, with 128 GPUs per rack and liquid cooling support, enabling compact and efficient deployment of large-scale computing clusters. Shanghai Cube integrates a series of domestic core components, including liquid cooling systems, high-performance parallel storage systems, retimers, and motherboard capacitors, providing a one-stop efficient solution for large-scale deployment of domestic computing systems and models.
InfiX.ai is a research-driven AI infrastructure company serving the global market, with capabilities spanning IaaS, PaaS, and MaaS. The company is building a Decentralized Co-GenAI Network that connects computing power, models, platforms, and intelligent applications, aiming to help enterprises and organizations train, deploy, and own domain-specific AI based on their proprietary data, expertise, and business processes. InfiX.ai brings together top global talent in AI research and industrial deployment, led by founder and Chief Scientist Prof. Hongxia Yang, with co-founder and Vice President Haiqing Chen and Chief AI Architect Jianmin Wu forming the core management and technical team. Prof. Yang is also a Chair Professor at The Hong Kong Polytechnic University and has previously served as Head of Large Language Models at ByteDance (USA), AI Scientist and Director at Alibaba Group, Chief Data Scientist at Yahoo, and Researcher at IBM T.J. Watson Research Center. She has published over 150 papers, holds more than 50 patents, and has received the World Artificial Intelligence Conference SAIL Award, the National Science and Technology Progress Award, and the title of Global AI2000 Most Influential Scholar.
By combining InfiX.ai's training and inference algorithms with Suanova's high-performance computing platform, the solution significantly reduces memory footprint and computing resource requirements, thereby achieving higher throughput on the same hardware configuration and supporting the training and deployment of larger-scale models. The system also continuously captures data for incremental training, integrates user feedback for fine-tuning and reinforcement learning, ensuring model performance evolves with changing business needs. Additionally, the infrastructure supports local execution of the entire AI workflow from training and fine-tuning to inference, thereby ensuring data security by design and meeting stringent security requirements in industries such as healthcare, finance, and government.
Mr. Daliang Chen, CEO of Suanova, stated that the cooperation with InfiX.ai marks a significant milestone in Suanova's expansion into the medical AI field. Leveraging the high-density domestic computing platform Shanghai Cube, the aim is to accelerate the application of medical AI in real clinical settings. This collaboration not only integrates the complementary strengths of both parties at the technical level but also represents a crucial step in advancing the domestic computing ecosystem.
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