---
title: "Discussion on \"From GPU PIDs to Model IDs: Which vLLM Model Is Using My GPU?\" | Hashnode"
description: "Discussion on \"From GPU PIDs to Model IDs: Which vLLM Model Is Using My GPU?\". When running LLM inference workloads, tools like nvidia-smi and nvtop help identify GPU utilization, memory consumption, and the processes using those resources.\nBut they don't directly answer another"
url: "https://hashnode.com/posts/from-gpu-pids-to-model-ids-which-vllm-model-is-using-my-gpu/6af45b9e6c263bd581ab7c77"
---

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# [From GPU PIDs to Model IDs: Which vLLM Model Is Using My GPU?](https://practical-ml-systems.hashnode.dev/from-gpu-pids-to-model-ids-which-vllm-model-is-using-my-gpu?utm_source=hashnode&utm_medium=feed)

When running LLM inference workloads, tools like nvidia-smi and nvtop help identify GPU utilization, memory consumption, and the processes using those resources. But they don't directly answer another

12h ago · 11 min read · practical-ml-systems.hashnode.dev  
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-   [#vllm](https://hashnode.com/tag/vllm)
-   [#gpu](https://hashnode.com/tag/gpu)
-   [#gputaskman](https://hashnode.com/tag/gputaskman)
-   [#nvtop](https://hashnode.com/tag/nvtop)
-   [#opensourceproject](https://hashnode.com/tag/opensourceproject)

## Written by

[reshmi aravind](https://hashnode.com/@raravind007)

@raravind007 · Munich, Germany

  
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