Enabling Disaggregated Multi-Stage MLLM Inference via GPU-Internal Scheduling and Resource Sharing
Published:Dec 19, 2025 13:40
•1 min read
•ArXiv
Analysis
This research paper from ArXiv focuses on improving the efficiency of Multi-Stage Large Language Model (MLLM) inference. It explores methods for disaggregating the inference process and optimizing resource utilization within GPUs. The core of the work likely revolves around scheduling and resource sharing techniques to enhance performance.
Key Takeaways
Reference
“The paper likely presents novel scheduling algorithms or resource allocation strategies tailored for MLLM inference.”