---
title: "Discussion on \"TensorRT-LLM Production Deployment: FP8, NVFP4, MoE & Disaggregated Serving\" | Hashnode"
description: "Discussion on \"TensorRT-LLM Production Deployment: FP8, NVFP4, MoE & Disaggregated Serving\". An SRE blueprint for PyTorch backend selection, quantization, MoE parallelism, NIXL disaggregated serving, and bare-metal GPU infrastructure."
url: "https://hashnode.com/posts/deploying-tensorrt-llm-bare-metal/6aed91451054b27567c89d32"
---

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Discussion

# [TensorRT-LLM Production Deployment: FP8, NVFP4, MoE & Disaggregated Serving](https://servermo.hashnode.dev/deploying-tensorrt-llm-bare-metal?utm_source=hashnode&utm_medium=feed)

An SRE blueprint for PyTorch backend selection, quantization, MoE parallelism, NIXL disaggregated serving, and bare-metal GPU infrastructure.

5d ago · 8 min read · servermo.hashnode.dev  
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-   [#tensorrt](https://hashnode.com/tag/tensorrt)
-   [#ai](https://hashnode.com/tag/ai)
-   [#mlops](https://hashnode.com/tag/mlops)
-   [#devops](https://hashnode.com/tag/devops)
-   [#nvidia](https://hashnode.com/tag/nvidia)

## Written by

[Jakson Tate](https://hashnode.com/@jakson-tate)

@jakson-tate

  
[View profile](https://hashnode.com/@jakson-tate)

Server Tech @ ServerMO ⚡ Managing 60K+ Bare Metal & GPU Servers

Hi! 👋 I'm Jakson, Server Technician @ ServerMO. I spend my days deep in the Linux terminal, fixing crazy server crashes, and rescuing enterprise customers from their tech nightmares. We build unthrottled Bare-Metal & AI infrastructures. Let's talk tech!

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