For AI agents: the complete documentation index is available at https://docs.us.ovhcloud.com/en/llms.txt, the full documentation bundle is available at https://docs.us.ovhcloud.com/en/llms-full.txt, and this page is available as Markdown at https://docs.us.ovhcloud.com/en/public-cloud/ai-machine-learning/ai-deploy-apps-portfolio.md.
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AI Deploy - Apps portfolio

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AI Deploy allows you to deploy AI apps or models. To test or use the product, you can build on existing AI models. For example, you can rely on open-source models or apps.

Info

AI Deploy is covered by OVHcloud Public Cloud Special Conditions.

 

Portfolio of AI apps and models

To test AI Deploy, you can quickly deploy apps based on those proposed in our portfolio.

 

Quick examples

Hello world
  • Description: Launch your first API with Flask
  • Documentation: AI Deploy - Getting started
  • Dockerfile: Dockerfile - Hello world
  • Docker image: ij8m5ic1.c1.va1.container-registry.ovh.us/ai-deploy-portfolio/ai-deploy-hello-world
  • CLI command: ovhai app run ij8m5ic1.c1.va1.container-registry.ovh.us/ai-deploy-portfolio/ai-deploy-hello-world
  • Usage: API - interact with the API with a curl command or a Python script
EDA and interactive prediction
Sketch recognition
Spam classification
Sentiment analysis
Speech-to-Text

If you want to launch these apps from the OVHcloud control panel, fill in the name of the docker image in Step 2 - Application to deploy.

Info

Each of the following apps launches on port 8080. You don't need to enter it in the launch command.

Info

By default, an app is launched with 1 GPU. However, you can customize the resources you wish to use.

 

Build you own apps and models to deploy

Below are examples of existing models that can be deployed with AI Deploy. However, you are free to deploy any other AI model or app of your choice.

YOLO

YOLO ('You only look once'), is an Object Detection algorithms family.

References:

DALL-E mini

DALL-E mini is an AI model that can draw images from any text prompt (Text-to-Image).

References:

Stable Diffusion

Stable Diffusion is Text-to-Image model that generates images from text.

References:

EfficientNet

EfficientNet is a family of Image Classification models. There are eight different EfficientNet models (b0 -> b7)

References:

ResNet

ResNet are AI models based residual neural network whose aim is to solve Image Classification tasks.

References:

MobileNet V2

MobileNet are Computer Vision models designed to be used in mobile applications. They are known for their small size and low latency.

References:

GPT-2

GPT-2 is a Text Generation model developed by Open AI.

References:

BERT

Famous NLP models based on BERT can also be deployed for Text Classification for example.

References:

BART

BART-based models can also be deployed for Zero-Shot Classification tasks.

References:

 

Go further

You can also refer to our GitHub repository to find examples of AI apps to deploy.

Browse all the AI & Machine Learning guides.

Browse the rest of the OVHcloud US documentation for guides on our other products and services.

Learn more about AI & Machine Learning on the OVHcloud US website.

If you need training or technical assistance to implement our solutions, contact your sales representative or click on this link to get a quote and ask our Professional Services experts for a custom analysis of your project.