Unverified50% confidenceSolutionExact time
Near-Data Computing moves part of the computational logic down to the storage layer, reducing the round-trip data transfer between storage and compute units.
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50%
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Long-term
Relevance
9/12/2026
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UnverifiedIn a disaggregated storage architecture, each data read may involve a network round trip, making data access latency a core performance challenge.71% similarUnverifiedCompute caching reduces the number of accesses to remote storage by caching hot data locally on compute nodes.70% similarUnverified主机卸载用带宽换显存空间，代价是数据传输延迟；激活重计算用算力换显存，二者可互补配合69% similarUnverifiedUnified memory architecture can significantly reduce the overhead of moving data between different processing units, making it particularly well-suited for scenarios such as running local large models and code-assist tools.68% similarUnverifiedDA operates at the computational logic layer and is orthogonally complementary in optimization dimensions to KV cache compression techniques that operate at the storage-transfer layer, such as quantization and eviction, and can be used in combination.68% similar
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