ThunderServe offers a breakthrough approach to deploying Large Language Models in cloud environments with heterogeneous GPU resources, addressing both performance and cost challenges.

• Efficiently utilizes diverse cloud GPUs to overcome hardware shortages
• Implements intelligent scheduling algorithms optimized for heterogeneous environments
• Achieves superior performance while maintaining cost-effectiveness
• Provides resilience against node failures in distributed deployments

This research advances Engineering solutions for LLM deployment by enabling organizations to leverage varied cloud resources rather than depending on homogeneous in-house GPU clusters, significantly reducing costs while maintaining performance.

ThunderServe: High-performance and Cost-efficient LLM Serving in Cloud Environments