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Data · towardsdatascience.com · Sunday, 14 June 2026

GPU Time‑Slicing doubles LLM agent tail latency on a $150 GTX 1080

When two LLM agents share a single low‑cost GTX 1080 via Kubernetes CUDA time‑slicing, average throughput stays flat but the latency‑sensitive agent’s p99 jumps by 66 % and jitter rises 67 %. The hidden tail cost means dashboards based on averages can miss deadline breaches, warning that cheap GPU sharing isn’t free.

Read the source: towardsdatascience.com ↗In the 14 June issue →