Lizard inference engineering: CPU-only should remain a first-class path
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Inference Engineering · Day 19 · Evening
A local runtime still needs a truthful path when no compatible GPU backend is available.
Lizard can execute supported GGUF graphs on CPU and records the backend decision. Hardware capability, model support, and memory evidence determine whether GPU, hybrid, or CPU execution is appropriate.
A slower supported path is better than an opaque fallback pretending to be GPU acceleration.
Does your runtime expose when a request actually fell back to CPU?
Engineering fact: Lizard retains a native CPU execution path and uses hardware capability and memory evidence to decide when GPU or hybrid execution is unavailable or inappropriate.
#LizardNative #LizardLLM #LocalAI #GGUF #InferenceEngineering
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