DynaServe introduces a flexible system architecture that dynamically allocates GPU resources based on changing workload demands in LLM serving.

• Combines the advantages of colocated execution (high throughput) and disaggregated execution (interference avoidance)
• Implements elastic tandem-style execution that adapts to varying prompt and response lengths
• Achieves up to 35% higher throughput while maintaining low latency for diverse workloads
• Features a unified GPU service pool that intelligently assigns resources based on real-time demand

This research matters for Engineering teams by providing a practical solution to the efficiency challenges of serving LLMs at scale, especially when handling unpredictable workloads with varying computational needs.

DynaServe: Unified and Elastic Tandem-Style Execution for Dynamic Disaggregated LLM Serving