Conversational AI

New on NGC: One Click Deploy, AI Models for Speech and Computer Vision, and More

The NGC catalog is a hub for GPU-optimized deep learning, machine learning, and HPC applications. With highly performant software containers, pretrained models, industry-specific SDKs, and Jupyter Notebooks, the content helps simplify and accelerate end-to-end workflows. 

There are new features, software, and updates to help you streamline your workflow and build your solutions faster on NGC.

One-click deploy

Developing AI with your favorite tool, Jupyter Notebooks, just got easier with simplified software deployment using the NGC catalog’s new one-click deploy feature.

On the software page in the NGC catalog, choose Deploy to Vertex AI. Under the hood, this feature launches the JupyterLab instance on Google Cloud Vertex AI Workbench with the optimal configuration; preloads the software dependencies; and downloads the NGC notebook in one go. You can also change the configuration before launching the instance.

Release highlights

  • Jupyter Notebooks for popular AI use cases
  • One-click deploy runs NGC Jupyter Notebooks on a Google Cloud Vertex AI Workbench
  • Automated setup with an optimal configuration, preloaded dependencies, and ready-to-run notebooks
  • Data scientists can focus on building production-grade models for faster time to market.

For more information, see the collection of AI software and Notebooks that you can deploy with one click.

For more information, register for the upcoming Building and Running an End-to-End Machine Learning Workflow, 5x Faster webinar.

NVIDIA virtual machine image

Virtual machine images (VMIs) or AWS AMIs are like operating systems that run on top of the hypervisor on cloud platforms.

An NVIDIA GPU-optimized VMI provides a standardized image across IaaS platforms so you can develop your AI application one time, whether on NVIDIA-Certified Systems or any GPU cloud instance. You can then deploy the application on any cloud without code changes.

Figure 1. NVIDIA VMI provides a standardized stack across clouds for organizations to deploy their applications anywhere without code change.

Available from the respective cloud marketplaces, NVIDIA VMIs are tested on NVIDIA AI software from the NGC catalog to deliver optimized performance and are updated quarterly with the latest drivers, security patches, and support for the latest GPUs.

Organizations may purchase enterprise support of NVIDIA AI software so developers can outsource technical issues and instead focus on building and running AI.

Build your AI today with NVIDIA VMI on AWS, Azure, and Google Cloud.

Deep learning software

The most popular deep learning frameworks for training and inference are updated monthly. Pull the latest version (v22.04):

New speech and computer vision models

We are constantly adding state-of-the-art models for a variety of speech and vision models. Here is a list of a handful of new models: 

  • STT Hi Conformer: Transcribes speech in Hindi characters along with spaces.
  • Riva Conformer ASR Spanish: Transcribes speech in the lowercase Spanish alphabet.
  • EfficientNet v2-S: A family of image classification models, which achieve state-of-the-art accuracy, being an order-of-magnitude smaller and faster.
  • GatorTron-S: A Megatron BERT model trained on synthetic clinical discharge summaries.
  • BioMegatron345m: This NeMo model delivers improved results on a range of biomedical downstream tasks.

For more information, see the NGC Models page.

Sample speech training data

To help you customize pretrained models for your speech application, Defined.AI, an NVIDIA partner, is offering 30 minutes of free sample data for eight languages.

Access it now through the Defined.AI Speech Datasets collection.

HPC applications

The latest versions of popular HPC applications are also available in the NGC catalog:

  • HPC SDK: A comprehensive suite of compilers, libraries, and HPC tools.
  • MATLAB: Provides algorithms, pretrained models, and apps to create, train, visualize, and optimize deep neural networks.

For more information about how GPU-optimized software can help simplify workflows and speed up solution times, see the NGC catalog.

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