Lizard inference engineering: Keep model weights resident
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Inference Engineering · Day 1 · Evening
Move tokens—not the model.
A common local-inference cost is repeated setup and data movement. lizard-native takes a resident-weight approach: load the GGUF weights onto the Direct3D 12 device once, keep them there across calls, and reuse the warmed execution path.
That does not make memory limits disappear. It makes residency an explicit planning decision instead of an accidental runtime surprise.
The useful question becomes: does the model, cache and current workload fit safely on this device?
Engineering fact: lizard-native uploads model weights once and keeps them resident on a Direct3D 12 GPU across calls.
#LizardNative #D3D12 #GPUInference #LocalAI #LizardLLM
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