DeepSeek-V3/R1 inference system

The DeepSeek-V3/R1 inference system is a high-performance inference architecture developed by the DeepSeek team to optimize the inference efficiency of large-scale sparse models. It uses cross-node expert parallelism (EP) technology to significantly improve GPU matrix computing efficiency and reduce latency. The system adopts a double-batch overlapping strategy and a multi-level load balancing mechanism to ensure efficient operation in a large-scale distributed environment. Its key benefits include high throughput, low latency, and optimized resource utilization for high-performance computing and AI inference scenarios.

This system is mainly targeted at developers and enterprises that require high-performance AI inference, especially those who process large-scale sparse models. It is suitable for scenarios that require processing large amounts of data in a short time, such as natural language processing, image recognition, and machine learning tasks. By optimizing resource utilization and reducing latency, the DeepSeek-V3/R1 inference system can help users achieve higher inference efficiency under limited hardware resources.