PowerInfer

Fast LLM inference on consumer GPUs using neuron-aware sparse computation.

Open SourceSelf HostedOffline CapableGPU Required (4GB+ VRAM)
0.0 (0)

About

PowerInfer from Shanghai Jiao Tong University is a CPU and GPU inference engine that exploits activation locality in large language models, keeping frequently activated hot neurons on the GPU and cold neurons on the CPU. This design speeds up inference on a single consumer GPU, reporting up to an eleven-fold gain over llama.cpp for large ReLU-based models with limited VRAM. Released under the MIT license.

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Details

Price
Free
Platform
Local/Desktop
Difficulty
Advanced (4/5)
License
MIT
Minimum VRAM
4 GB
Added
Apr 3, 2026

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