THE METER
SECTION 03
ISSUE 001
Semantic Caches Store Work Products
Projection: NVIDIA demonstrates transferable serving state; PaperBench shows complex work can be decomposed into checkable outputs. Caches may preserve verified plans, calculations, retrievals, and tool results—not only token prefixes. The forecast requires safe reuse across tasks, with freshness and provenance strong enough to prevent a cached mistake from scaling.
Why this idea is here
What the evidence establishes.
NVIDIA documents separately scalable prefill and decode pools, KV-state transfer, cache-aware routing, and distributed inference; PaperBench evaluates end-to-end AI research replication and reports large remaining headroom on the tested agents. These are source-backed premises for this projection; they do not by themselves prove broad adoption or the eventual outcome.
Source ledger
Read the sources.
- S01NVIDIA Dynamo: Disaggregated Serving
official technical documentation / published 2026-07-09 / retrieved 2026-07-09
- S02PaperBench
official benchmark release / published 2025-04-02 / retrieved 2026-07-09