I would like to ask if there is any way to speed up report generation in Quarto?

[hasibagen]

Description

I would like to ask if there is any way to speed up report generation in quarto?
We are currently using quarto to generate a large number of data analysis result reports, and currently we may generate 1000-2000 copies at a time.
This is an example of the running time of one of our reports in the Ubuntu system

time quarto render try.qmd --to docx

Executing 'tryquarto_ipynb'
Cell 1/8: ''................Done
~
Cell 8/8: '.............Done

pandoc
to: docx
output-file: try.docx
default-image-extension: png
reference-doc: try.docx

metadata
title: try
jupyter: python3

Output created: try.docx

real 0m2.929s
user 0m0.626s
sys 0m0.166s

I would like to ask if there is any way to speed up report generation?
We are currently trying out for loops and parallel loops, but it seems that quarto has intermediate ipynb files when running, so there will be problems with parallel loops.

Your environment

Operating System: Ubuntu 22.04
Jupyter Lab Version: 
IPython          : 8.18.1
ipykernel        : 6.29.4
ipywidgets       : 8.1.2
jupyter_client   : 8.6.1
jupyter_core     : 5.7.2
jupyter_server   : 2.14.0
jupyterlab       : 4.1.8
nbclient         : 0.10.0
nbconvert        : 7.16.4
nbformat         : 5.10.4
notebook         : 7.1.3
qtconsole        : 5.5.2
traitlets        : 5.14.3

Quarto check output

Quarto 1.5.45
[✓] Checking versions of quarto binary dependencies...
      Pandoc version 3.2.0: OK
      Dart Sass version 1.70.0: OK
      Deno version 1.41.0: OK
      Typst version 0.11.0: OK
[✓] Checking versions of quarto dependencies......OK
[✓] Checking Quarto installation......OK
      Version: 1.5.45
      Path: /opt/quarto/bin

[✓] Checking tools....................OK
      TinyTeX: v2024.06
      Chromium: (not installed)

[✓] Checking LaTeX....................OK
      Using: TinyTex
      Path: /home/jade/.TinyTeX/bin/x86_64-linux
      Version: 2024

[✓] Checking basic markdown render....OK

[✓] Checking Python 3 installation....OK
      Version: 3.9.6 (Conda)
      Path: /home/jade/anaconda3/envs/fnirs/bin/python
      Jupyter: 5.7.2
      Kernels: python3

[✓] Checking Jupyter engine render....OK

[✓] Checking R installation...........OK
      Version: 4.4.0
      Path: /usr/lib/R
      LibPaths:
        - /home/jade/R/x86_64-pc-linux-gnu-library/4.4
        - /usr/local/lib/R/site-library
        - /usr/lib/R/site-library
        - /usr/lib/R/library
      knitr: 1.46
      rmarkdown: 2.26

[✓] Checking Knitr engine render......OK

[mcanouil]

Unfortunately, not at this point.

• Epic: Execution Planner #6518

A "workaround" is to use freeze/cache.

[hasibagen]

sad.
I have tried caching, maybe it will improve the generation of large reports? But in my scenario, I tried to enable caching and there was no obvious improvement.