Machine Learning environment reproduction on Openlab via ML metadata description file #197
Description
If you are interested in testing and improving support for the cloud-related SDKs/Tools as well as platforms in OpenLab, please fill out the details below. You can always find more information about OpenLab at https://openlabtesting.org
What is your focus?
- Performance
- Scale
- Reliability
- Resiliency
- Integration
- Multi-Cloud
- Operational Tooling
- Edge or IoT
- Machine Learning
- Artificial Intelligence
- Application Ecosystem
- Other
If this is for an open source project what is it?
Yes
Brief project description
Allow Machine Learning operators to reproduce the ML environment via a ML metadata description file for training or inferring .
Is project code 100% open source? If so, what is the URL or URLs where it is located?
What kind of machines (VMs or Baremetal) and how many do you expect to use?
VMs with GPU support. 3-4 VMs are fine.
What OS are you planning to use?
Ubuntu
Any special network configuration you expect or anticipate implementing?
The VMs should have public IP. So that operators can login or host inference server for a while.
Any architecture or other specifications/requirements (CPU, RAM, GPU, etc)?
GPU is needed.
What testing are you planning to implement or need assistance implementing?
We'll test the ability for reproducing ML environment via ML metadata file.
How will this testing advance application and/or tooling built on-top of open infrastructure?
N/A
Will you publish blog or paper from your testing?
- Yes
- [X ] No - if no, how will you present your results?
Via webpage: https://moo-ai.github.io
Any other relevant details we should know about while preparing the infrastructure?
N/A