Reasoning Performance Level 3 Acceleration Program
Based on the hybrid expert architecture features, 5-10x inference acceleration can be achieved by:
- Specialist Activation Restrictions: Modify the MoE routing policy (usually in the
config.json), willnum_experts_per_tokAdjusted from default value of 4 to 2-3 - Batch optimization: Using SGLang's
--batch-sizeparameter for dynamic batch processing, in conjunction with theprefill_chunk_size=512Optimize video memory utilization - kernel-level optimization: Compiles and installs a program withTritonSGLang for 2.0 backend, enable the
--enable-flash-attncap (a poem)--fused-kernelsoptions (as in computer software settings)
Practical tests show that after the above optimization in A100×8 environment, the text generation speed can be increased from 120token/s to 800token/s. However, it is necessary to pay attention to the balance between the speed and the quality of generation, and it is recommended to pass thetemperature=0.7cap (a poem)top_p=0.9Parameters control output stability.
This answer comes from the articleGrok-2: xAI's Open Source Hybrid Expert Large Language ModelThe
May not be reproduced without permission:AI productivity tools " How to optimize the inference speed of Grok-2 to improve business scenario response efficiency?
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