e-footprint documentation
How to model a machine learning workflow
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e-footprint documentation
Introduction
Tutorial
Explanation
Explanation
Explanation overview
e-footprint scope
Why e-footprint ?
How to get started
The e-footprint methodology
e-footprint design choices deep dive
How-to guides
How-to guides
How to model a machine learning workflow
How to model a database
How to model the evolution of a system across time
How to model server to server interaction
e-footprint objects reference
e-footprint objects reference
How to read the object reference
Hardware
Hardware
Servers
Servers
Server
GPU Server
Boavizta cloud server
Devices
Network
Storage
Edge
Edge
Edge device
Edge device
Edge device (base object)
Edge computer
Edge computer
Edge computer
Edge computer RAM
Edge computer CPU
Edge appliance
Edge appliance
Edge appliance
Edge appliance component
Edge components
Edge components
RAM component
CPU component
Storage component
Services
Services
Web application
Web application
Web application service
Web application job
Video streaming
Video streaming
Video streaming service
Video streaming job
Gen AI
Gen AI
Gen AI service
Gen AI job
Usage
Usage
Usage pattern
Usage journey
Usage journey step
Job
GPU job
Edge
Edge
Edge usage pattern
Edge usage journey
Edge function
Edge device need
Edge device need
Edge device need
Recurrent edge workload
Recurrent edge workload
Recurrent edge workload
Recurrent edge workload need
Recurrent edge process
Recurrent edge process
Recurrent edge process
Recurrent edge process ram need
Recurrent edge process cpu need
Recurrent edge process storage need
Edge component need
Edge component need
Edge component need
Edge storage need
System
Country
FAQ
FAQ
What about best practices ?
What about measurement tools ?
What about the build process of the service ?
Why only CO2 ?
External links
Changelog
How to model a machine learning workflow
Work in progress