清华系国产算力软件企业清程极智再获过亿融资

Core Insights - Tsinghua-affiliated AI company Qingcheng Jizhi has recently completed over 100 million yuan in financing, less than six months after its previous round [1] - The latest funding round was led by a well-known industry player, with participation from various notable investment institutions [1] Company Overview - Qingcheng Jizhi focuses on developing intelligent computing system software, acting as a crucial bridge between intelligent computing and AI applications [1] - The company's software efficiently links underlying hardware computing power with upper-layer AI model training, inference, and application needs, facilitating seamless collaboration among different hardware devices [1] Technological Advancements - The company has achieved significant improvements in training efficiency for domestic chips, which will enhance the utilization and performance of domestic computing resources while reducing costs for enterprises [2] - Qingcheng Jizhi's "Bagualu" high-performance large model training system has been validated on multiple large-scale domestic computing clusters, showing notable acceleration in training tasks for dense models and mixed expert models [2] - The "Chitu" inference engine, developed by Qingcheng Jizhi, is optimized for domestic computing, offering low latency, high throughput, and low memory usage, thus meeting diverse intelligent computing needs [3] Strategic Collaborations - The company collaborates with Tsinghua University to optimize key aspects of model algorithms and system design, enhancing the overall efficiency of large model training [2] - The open-source Chitu inference engine project aims to accelerate the establishment of a complete ecosystem comprising domestic intelligent computing chips, system software, and large models [3]