Helix is a distributed system that delivers high-throughput, low-latency LLM serving across heterogeneous GPU clusters by modeling inference as a max-flow problem on weighted graphs.

• Transforms complex resource allocation into a directed, weighted graph where nodes represent GPUs and edges capture hardware capabilities
• Uses mixed integer linear programming to optimize model placement and request scheduling
• Achieves higher throughput and lower latency than existing systems when serving LLMs across diverse GPU environments
• Effectively handles hardware heterogeneity, a common challenge in real-world deployment environments

This engineering breakthrough matters because organizations can now efficiently serve LLMs across their existing GPU infrastructure without requiring uniform hardware, significantly reducing deployment costs while maintaining performance.

Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow