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Tuto05 - Deployment of our AI services for our clients.md

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Tuto 05 - Deployment of our AI services for our clients

Version 2024.03.29.2, Author : Dominique Delaire

This module is part of a series of 4 other modules which constitute the Shellbots OS and framework for creating innovative AI services.

In this tutorial, we will detail the operation of the 4th module and which concerns the deployment of ai services created with shellbots for our customers.

Representative diagram of AI services deployment process (click to expand) :

deploymentshellbotsv3

OS Shellbots Virtual Machine

  • Our OS, encapsulated in a VirtualBox virtual machine, is based on a modified Linux Mint distribution. We have changed the boot sequences, the graphical interface as well as the basic programs which are dedicated to AI.
  • We created a framework in Python and integrated market AI engines, market machine learning engines as well as specific tools to create AI services and thus have accelerator tools.
  • This virtual machine and os can run on Windows 10, Windows 11, macOS X and Linux OS. It is not possible to run it at the moment with the latest processors M1, M2, M3 from apple (intel only)
  • Each AI service created with the framework is integrated into a context which therefore has specific vector databases, specific models, etc.

OS Optimized Shellbots Virtual Machine for Customer

  • Once the AI ​​service is created for the client's specific needs and tested, we can generate an optimized OS image with only the objects and engines dependent on the created AI service.
  • At this stage, we can also enter all the enterprise version API keys for the AI ​​engines or others specific to the customer.
  • We can also wait for the delivery stage and add these keys in the target environment of use.
  • Add connections to source data to link to production data.

Delivery on differents platforms

  • The AI ​​service can be delivered on different platforms :
    • A virtual machine hosted on Google Cloud
    • A virtual machine hosted on Microsoft Azure
    • A virtual machine hosted on Amazon Cloud Ec2
    • Containers such as Docker, VmWare, ...
    • And the same technology as source : virtual box on Windows, Linux or MacOS.

If you have any questions, feel free to send me a connection on Linkedin at https://www.linkedin.com/in/dominiquedelaire/