Apr 20
The Illusion of Equivalence: Systematic FP16 Divergence in KV-Cached Autoregressive Inference
★★★★★
significance 3/5
This research identifies a systematic divergence in token generation caused by FP16 precision non-associativity during KV-cached inference. The study demonstrates that the order of floating-point accumulation in KV-caching leads to deterministic differences in output compared to cache-free computation.
Why it matters
Precision-driven discrepancies in KV-caching threaten the reliability and reproducibility of large-scale inference-as-a-service architectures.
Tags
#transformers #numerical stability #inference optimization #precision #kv-cacheRelated coverage
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