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exec-slurm-compile

Compile TensorRT-LLM on a SLURM cluster via enroot container batch jobs.

Updated May 23, 2026
Search Tags:#slurm#job monitoring#tensorrt-llm#enroot#containerized build#gpu compilation#wheel build
One-click install
npx skills add https://github.com/yo-steven/skills-exploration-20260522 --skill exec-slurm-compile
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: exec-slurm-compile
Source: https://github.com/yo-steven/skills-exploration-20260522/tree/main/skills/TensorRT-LLM/exec-slurm-compile
Command: npx skills add https://github.com/yo-steven/skills-exploration-20260522 --skill exec-slurm-compile

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill streamlines compiling TensorRT-LLM on a remote SLURM cluster by coordinating container preparation, job submission, live monitoring, and build verification so you don’t need to compile directly on your local machine.

Core Features & Use Cases

  • SLURM batch compilation workflow: Submits a containerized compilation job using sbatch and runs the build inside an enroot container.
  • enroot container pre-dumping: Optionally pre-imports the Docker image into a .sqsh image via a dedicated SLURM job to reduce compile-time download overhead.
  • Live monitoring and log-based verification: Actively polls SLURM status, tails the srun log, and validates success via SLURM exit code and build log messages.
  • Use Case: You need to build TensorRT-LLM for a specific GPU architecture on a cluster partition with the right TensorRT environment packaged in an NVIDIA container.

Quick Start

Use the enroot-import step to generate a .sqsh from the TensorRT-LLM Docker image, then submit the compilation with sbatch using that .sqsh, your TensorRT-LLM repo path, and your SLURM partition and account.

Frequently Asked Questions about exec-slurm-compile

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I compile TensorRT-LLM on a SLURM cluster?▼

To compile TensorRT-LLM on a SLURM cluster, you can submit a containerized batch job using sbatch that runs the build inside an enroot container, allowing remote and repeatable compilation.

What is the best way to reduce download overhead when building TensorRT-LLM remotely?▼

Pre-importing your Docker image into a .sqsh file using enroot pre-dumping reduces download overhead during the TensorRT-LLM build by preparing the container image via a dedicated SLURM job beforehand.

Do I need a pre-built .sqsh container image to run a TensorRT-LLM SLURM compilation job?▼

You need either a pre-built .sqsh container image or a Docker image URL to import, along with access to your TensorRT-LLM repository directory and correct SLURM partition and account parameters.

How does SLURM job monitoring work for remote containerized builds?▼

SLURM job monitoring actively polls job status, tails the srun log, and validates build success by checking the SLURM exit code alongside specific build log messages for verification.

Can I target a specific GPU architecture when compiling TensorRT-LLM via SLURM?▼

Yes, you can target a specific GPU architecture by submitting the compilation job to a SLURM cluster partition that has the correct TensorRT environment packaged in an NVIDIA container.

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