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Moonshot AI Collaborates with Tsinghua University to Launch PrfaaS Architecture, Breaking the Bottleneck of Large Model Computing Power

The efficiency of large language model inference has made a breakthrough. Tsinghua University and Moonshot AI jointly proposed a new architecture called "Prefill-as-a-Service," which splits the inference process into two stages: prefilling and decoding, and optimizes the allocation of computing resources, effectively solving hardware limitations and significantly improving model service performance.

13.7k 7 minutes ago
Moonshot AI Collaborates with Tsinghua University to Launch PrfaaS Architecture, Breaking the Bottleneck of Large Model Computing Power

Innovation Across Data Centers: Moonshot AI and Tsinghua University Propose the PrfaaS Architecture

Moonshot AI and Tsinghua University proposed a new architecture called Pre-Fill as a Service (PrfaaS) to address the computational resource bottleneck in large language model inference. The architecture separates the computationally intensive pre-fill stage (generating key-value cache) from the decoding stage to optimize resource utilization and break through traditional service limitations.

11.3k 16 minutes ago
Innovation Across Data Centers: Moonshot AI and Tsinghua University Propose the PrfaaS Architecture
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