How GLM5.3 Sparse Attention Affects HBM Memory Usage
How Sparse Attention Affects DRAM/NAND Memory

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Key points
- How does sparse attention affect the TAM of memory, including HBM and NAND?
- Sparse attention selects top-k most relevant tokens to attend to, reducing the memory consumption and bandwidth requirements during the core Scaled Dot-Product Attention (SDPA) operation.
- To reduce the cache miss latency, HiSparse overlaps KV cache loading of layer N with the execution of layer N-1 (layer-wise overlapping), introduced in HiSparse’s prior work HiCache.
- In addition, HiSparse shows that system optimizations can overcome sparse attention’s memory capacity limitations, so sparse attention memory profile alone cannot sufficiently portray the full picture of system KV cache efficiency.
Sources (1)
- [1]How GLM5.3 Sparse Attention Affects HBM Memory UsageSemiAnalysis · Sep 28, 07:26 PM
How Sparse Attention Affects DRAM/NAND Memory
How does sparse attention affect the TAM of memory, including HBM and NAND?
Extractive summary: sentences quoted from the sources.
Before this
- Sep 5, 2026sgl-project/sglang v0.5.19
- Aug 22, 2026sgl-project/sglang v0.5.18
- Jul 25, 2026sgl-project/sglang v0.5.16
- Jul 10, 2026sgl-project/sglang v0.5.15
- Jun 29, 2026vllm-project/vllm v0.24.0
- Jun 13, 2026sgl-project/sglang v0.5.13