TokenGate Enables 1.4-11.3x Faster LLM Prefill via Token Pruning
October 18, 2026
TokenGate is a drop-in component for existing models that uses token-gated attention to prune unimportant tokens during long-context processing. This approach achieves up to 11.3x faster time-to-first-token by mimicking human-like skimming to reduce memory and compute costs.
HOW THIS AFFECTS YOU
●
builderIntegrate this component to significantly reduce latency and compute costs for long-context RAG or document processing applications.