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Chainguard Image for nemo

NVIDIA NeMo Framework is an end-to-end, cloud-native framework to build, customize, and deploy generative AI models anywhere.

Chainguard Images are regularly-updated, minimal container images with low-to-zero CVEs.

Download this Image

This image is available on cgr.dev:

docker pull cgr.dev/ORGANIZATION/nemo:latest

Be sure to replace the ORGANIZATION placeholder with the name used for your organization's private repository within the Chainguard registry.

Running the Image

To run the NeMo Chainguard Image interactively in an environment with connected GPU:

docker run -it --rm \
  --gpus all \
  --shm-size=8g \
  --ulimit memlock=-1 \
  --ulimit stack=67108864 \
  cgr.dev/chainguard/nemo:latest

These options allow access to connected GPU, allocate more shared memory to the container, and put an upper bound on container memory use. If you are running the image in an environment without connected GPU, omit the --gpus all option.

Testing GPU Access

If your environment has connected GPUs, you can check that NeMo has access. First, run the NeMo Chainguard Image interactively with the above command. At the container prompt, run:

$ python
Python 3.11.9 (main, Apr  2 2024, 15:40:32) [GCC 13.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from nemo.core import pytorch_lightning
>>> len(pytorch_lightning.accelerators.find_usable_cuda_devices())
1

The above result shows that the environment has one connected GPU.

Testing NeMo

You can run the below commands on your host machine to download and execute a script to test NeMo functionality. The script uses two pretrained models to generate audio output from plain text (text to speech).

mkdir nemo-test && cd nemo-test
curl https://raw.githubusercontent.com/chainguard-dev/nemo-examples/main/tts.py > tts.py
docker run -it --rm \
  --gpus all \
  --user root \
  --shm-size=8g \
  --ulimit memlock=-1 \
 --ulimit stack=67108864 \
  -v $PWD:/home/nonroot/nemo-test \
  cgr.dev/chainguard/nemo:latest \
  -c "python /home/nonroot/nemo-test/tts.py"

After running the below, you should have a test.wav file in the current working directory on your host machine. The above example uses a root login in order to write the output to the volume. Remember not to use root or privileged access in a production scenario.

Resources

For more information on using NVIDIA NeMo, see the following resources.

  • NeMo Overview
  • NeMo Tutorials
  • NeMo Playbooks
  • NeMo on GitHub

Contact Support

If you have a Zendesk account (typically set up for you by your Customer Success Manager) you can reach out to Chainguard's Customer Success team through our Zendesk portal.

What are Chainguard Images?

Chainguard Images are a collection of container images designed for security and minimalism.

Many Chainguard Images are distroless; they contain only an open-source application and its runtime dependencies. These images do not even contain a shell or package manager. Chainguard Images are built with Wolfi, our Linux undistro designed to produce container images that meet the requirements of a secure software supply chain.

The main features of Chainguard Images include:

-dev Variants

As mentioned previously, Chainguard’s distroless Images have no shell or package manager by default. This is great for security, but sometimes you need these things, especially in builder images. For those cases, most (but not all) Chainguard Images come paired with a -dev variant which does include a shell and package manager.

Although the -dev image variants have similar security features as their distroless versions, such as complete SBOMs and signatures, they feature additional software that is typically not necessary in production environments. The general recommendation is to use the -dev variants only to build the application and then copy all application artifacts into a distroless image, which will result in a final container image that has a minimal attack surface and won’t allow package installations or logins.

That being said, it’s worth noting that -dev variants of Chainguard Images are completely fine to run in production environments. After all, the -dev variants are still more secure than many popular container images based on fully-featured operating systems such as Debian and Ubuntu since they carry less software, follow a more frequent patch cadence, and offer attestations for what they include.

Learn More

To better understand how to work with Chainguard Images, we encourage you to visit Chainguard Academy, our documentation and education platform.

Licenses

Chainguard Images contain software packages that are direct or transitive dependencies. The following licenses were found in the "latest" version of this image:

  • Apache-2.0

  • BSD-1-Clause

  • BSD-2-Clause

  • BSD-3-Clause

  • BSD-4-Clause-UC

  • CC-PDDC

  • FTL

For a complete list of licenses, please refer to this Image's SBOM.

Software license agreement

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ai-gpu

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