---
title: "How does DeepSeek serving handle concurrent requests on one GPU?"  
description: "How does DeepSeek serving handle concurrent requests on one GPU?"  
author: "Björn Ólafsson"  
published: 2026-10-15  
updated: 2026-10-15  
canonical: https://www.mindstick.com/forum/162382/how-does-deepseek-serving-handle-concurrent-requests-on-one-gpu  
category: "LLM Inference Serving"  
tags: ["DeepSeek", "LLM inference", "GPU serving"]  
reading_time: 1 minute  

---

# How does DeepSeek serving handle concurrent requests on one GPU?

I’m looking at running a DeepSeek model on a single GPU for a small internal service. Most benchmarks I’ve found focus on one prompt at a time, but my concern is what happens when several users send requests together.

Has anyone measured how **concurrent requests on one GPU** affect queueing, time to first token, or memory use? I’m trying to work out what to test before choosing a serving setup.


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Original Source: https://www.mindstick.com/forum/162382/how-does-deepseek-serving-handle-concurrent-requests-on-one-gpu

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