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Recently, AI computing power chip company Yizhu Technology completed more than 1 billion yuan in financing. The funds will support R&D investment, product iteration, and industrialization promotion. The company continues to deploy general storage and computing integration and hyperheterogeneous technology. According to Tianyan Research, Suzhou Yizhu Intelligent Technology Co., Ltd.'s “heterogeneous processor system, task scheduling method, electronic equipment and storage medium” patent was granted on July 21 this year. The abstract discloses that graphics processor cores and tensorflow processor cores are stacked through hybrid bonding technology, and memory cores are stacked with graphics processor cores, and the two types of processors perform computational tasks collaboratively. The company's other “data transmission method, device, electronic device and storage medium” patent was granted on September 11. The solution involves transmitting data to multiple target nodes and aggregating and returning messages. According to the patent abstract, it can reduce the resource cost of source nodes in one-to-many reliable communication and reduce the overall latency of the cluster.
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Recently, AI computing power chip company Yizhu Technology completed more than 1 billion yuan in financing. The funds will support R&D investment, product iteration, and industrialization promotion. The company continues to deploy general storage and computing integration and hyperheterogeneous technology. According to Tianyan Research, Suzhou Yizhu Intelligent Technology Co., Ltd.'s “heterogeneous processor system, task scheduling method, electronic equipment and storage medium” patent was granted on July 21 this year. The abstract discloses that graphics processor cores and tensorflow processor cores are stacked through hybrid bonding technology, and memory cores are stacked with graphics processor cores, and the two types of processors perform computational tasks collaboratively. The company's other “data transmission method, device, electronic device and storage medium” patent was granted on September 11. The solution involves transmitting data to multiple target nodes and aggregating and returning messages. According to the patent abstract, it can reduce the resource cost of source nodes in one-to-many reliable communication and reduce the overall latency of the cluster.
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