Lizard inference engineering: Stop oversized models from thrashing
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Inference Engineering · Day 2 · Evening
A model that almost fits can create the worst failure mode: it runs, but it thrashes.
On a tight GPU budget, repeatedly evicting and re-uploading layers can reduce decode to a crawl. A single “GPU or CPU” decision is too coarse.
Lizard plans prefill and decode independently. It can keep GPU-assisted prompt processing while moving decode to a bounded, stable path when full residency is unsafe.
The engineering lesson: split the phases before you split the blame.
Engineering fact: When a model exceeds the usable GPU weight budget, Lizard can keep GPU-assisted prompt processing and use bounded hybrid decode instead of repeated eviction.
#VRAM #LLMInference #GPUPerformance #LizardNative #LocalAI
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