AI Research
FineServe: A Fine-Grained Dataset and Characterization of Global LLM Serving Workloads
Large language models (LLMs) are increasingly deployed as always-on online services, making efficient LLM serving a critical systems challenge. Achieving low latency and high throughput under volatile demand requires deep understanding of real-world serving workloads, yet existin...
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ArXiv CS.AI
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ArXiv CS.AI
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Understanding the fine-grained, real-world demands of LLM serving workloads is crucial for optimizing performance and cost in commercial deployments. This new dataset enables more accurate benchmarking and development of efficient systems for diverse LLM applications.
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