ResidualQuant KV Cache Compression Boosts Decode Throughput Up to 4.15x on RTX 5090

sehoonkim418 · x · 2026-10-12

ResidualQuant, a KV cache compression method, was benchmarked on Ouro-1.4B with an RTX 5090: compressing the KV cache cuts per-request memory traffic and frees GPU memory to serve more concurrent requests. Peak decode throughput rises 3.27x at 8K context and 4.15x at 16K context versus the BF16 baseline. The work is by Heejun Kim (project lead), Junyoung Lee, Bill Cho, Dongsu Han, and Insu Han — the tweet author's lab's first paper with his own students.

Related event: KAIST's ResidualQuant: 2-bit Residual Quantization Cuts Looped Transformer KV Cache by 80%(10 posts)→

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