HexGen-2 introduces a novel approach to disaggregated LLM inference that optimizes deployment across heterogeneous GPU environments, offering a cost-effective alternative to homogeneous high-performance setups.

• Separates prefill and decoding phases to eliminate interference and optimize resource allocation
• Implements specialized scheduling algorithms for heterogeneous GPU environments
• Achieves significant improvements in serving throughput and efficiency
• Provides an economical alternative to deployment on homogeneous high-end GPUs

Why It Matters: As organizations deploy LLMs at scale, HexGen-2's approach enables more cost-effective infrastructure utilization while maintaining performance, making advanced AI more accessible across varying hardware environments.

HexGen-2: Disaggregated Generative Inference of LLMs in Heterogeneous Environment