Unverified50% confidencePredictionExact time
When the context approaches 512K tokens, the prefill-decode disaggregated architecture ensures that users still receive the first response token within 800 milliseconds after reading an entire specification.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/12/2026
First Seen
Valid until: 1/10/2027
Sources
Related Entities
Related Claims
UnverifiedIn large model API call scenarios, cache hit rate refers to the reuse ratio of the KV Cache (key-value cache), where the model can directly read the attention key-value pairs of already-processed tokens from the cache.71% similarUnverifiedA log study measured the tokens each harness sends before reading the user's prompt: OpenCode approximately 7,000 tokens, CloudCode approximately 33,000 tokens, and Pi approximately 1,300 tokens.71% similarUnverifiedIn actual testing, the prefill read speed for a 32K context reached 3,860 tokens per second.71% similarUnverifiedREMORY's encoder accepts raw history of up to 64K tokens and a human-readable summary of approximately 250 tokens, using a 12-layer Transformer with a 768-dimensional hidden state.69% similarUnverifiedThe REMORY encoder adds approximately 120ms of latency on a single A100, which can be avoided by pre-computing residual tokens for predictable workflows.68% similar
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