Fast PyTorch3D Installation (No Builds, No Pain)

The official installation guide for PyTorch3D is outdated — it really takes 9 seconds now.

Other Medium posts suggest building from source.

In practice, this usually means:

• long build times
• random failures
• especially painful on Windows

There’s a simpler way.

Use Prebuilt Wheels

Instead of building, just use prebuilt wheels.

They already exist for most combinations of:

• CUDA
• PyTorch
• Python

👉 https://github.com/MiroPsota/torch_packages_builder 👉 https://miropsota.github.io/torch_packages_builder/pytorch3d/

Find your setup:

• PyTorch (e.g. 2.7.0)
• CUDA (e.g. 12.8)
• Python (e.g. 3.12)

Install in Seconds

Pick the wheel matching your setup and install it:

uv pip install "<wheel_url>"

or with pip:

pip install "<wheel_url>"

Example

(PyTorch 2.7.0 + CUDA 12.8 + Python 3.12):

uv pip install "https://github.com/MiroPsota/torch_packages_builder/releases/download/pytorch3d-0.7.9%2Bd9839a9/pytorch3d-0.7.9%2Bd9839a9pt2.7.0cu128-cp312-cp312-linux_x86_64.whl"

Why This Matters

On my setup:

• build from source: ~10 minutes (may fail)
• wheel install: ~10–20 seconds

If you work with multiple environments, this saves a lot of time.

If You Really Need to Build

Use:

pip install --no-build-isolation

So it reuses your existing PyTorch instead of pulling a new one.

Takeaway

If a package requires CUDA compilation:

👉 check for wheels first

It’s almost always faster and more reliable.