Unverified50% confidenceFactExact time
In memory note reading, looking only at the data after the change, the waste from tiered reading is only 1% compared with reading the whole file.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/13/2026
First Seen
Valid until: 10/27/2026
Sources
Related Entities
Related Claims
UnverifiedThe optimization ceiling for splitting large memory notes is about 1%, but tiered reading has already solved that problem.78% similarUnverifiedOn a 64-bit system, a struct containing a 1-byte char and an 8-byte long may occupy 16 bytes rather than 9 bytes due to memory alignment, resulting in a waste rate as high as 44%.66% similarUnverifiedWriting to memory is a one-time cost, as the first processing of text still requires full KV state computation; the KV states for 50 million tokens occupy several terabytes of local NVMe disk space.65% similarUnverifiedCaching frequently reused data in on-chip shared memory can reduce repeated reads from global memory.65% similarUnverifiedIn actual production environments, large endpoints applying this cache adjustment have seen throughput improvements of up to 2x, reduced storage layer read counts, and lower overall latency.64% similar
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