Unverified50% confidenceFactExact time
Under a NUMA architecture, each CPU accesses its local memory far faster than remote memory under other CPUs' jurisdiction, and cross-NUMA-node data transfers significantly reduce actual bandwidth utilization.
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Long-term
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10/3/2026
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Related Claims
UnverifiedTraditional storage access paths require data to pass through CPU memory multiple times as an intermediary, consuming CPU cycles and creating a performance gap between GPUs and storage.72% similarUnverifiedcuObject's approach is in the same vein as NVIDIA's earlier GPUDirect Storage, with the core goal of shortening the data path from storage to compute units and reducing CPU involvement.71% similarUnverified现代 x86-64 服务器采用 NUMA 拓扑，同一 socket 内核心访问本地内存延迟约 80ns，跨 socket 访问可能高达 160–300ns69% similarUnverifiedTo ensure inference speed within 16 GB of VRAM, the core principle is to avoid having weights offloaded to memory, because there is nearly a 10x difference between GPU VRAM bandwidth and CPU memory bandwidth.68% similar
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