Unverified50% confidenceOpinionExact time
At hyperscale, caching needs deep coordination with the multi-tenant model and storage backend rather than simply adding a Redis layer.
1
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50%
Confidence
Long-term
Relevance
10/23/2026
First Seen
Sources
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Related Claims
UnverifiedIn multi-instance deployments, the nonce cache requires shared storage (such as Redis) or sticky routing, otherwise the same frame may be accepted once on each of different instances, creating a protection gap.77% similarUnverifiedThe cache layer needs to work in coordination with the storage backend rather than exist in isolation.72% similarUnverifiedomlx的SSD缓存机制允许将部分模型权重或KV缓存卸载到高速固态硬盘，从而在有限内存下运行更大的模型或支持更长的上下文69% similarUnverifiedStorage-compute separation architecture achieves second-level elastic scaling of compute resources by decoupling the storage layer from the compute layer, allowing storage to scale independently without data migration.68% similarVerifiedThe cost of persistent KV caching is a significant increase in storage space, along with the engineering challenge of efficiently locating and loading relevant segments from a massive cache.68% similar
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