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Create a framework-agnostic Linux package with an exposed interface that allows the utilization of a fraction of a GPU, similar to how cgroups works. This package will enable users to efficiently allocate and manage GPU resources for their applications.
-Framework-Agnostic Linux Package:
-Develop a Linux package with an exposed interface for managing GPU resources.
- Implement functionality to allocate and control a fraction of a GPU for application usage.
Plugin for Docker Compose:
Create a plugin for Docker Compose that integrates with the framework-agnostic Linux package.
Enable users to specify GPU resource requirements for their Docker Compose services.
Plugin for Kubernetes (K8S):
Develop a plugin for Kubernetes that utilizes the framework-agnostic Linux package.
Allow users to specify GPU resource limits and requests in Kubernetes pods.
Setup/Installation
No response
Expected Outcome
A framework-agnostic Linux package that provides an interface for managing GPU resources.
A Docker Compose plugin enabling users to specify GPU resource requirements for their services.
A Kubernetes plugin allowing users to specify GPU resource limits and requests for pods.
Acceptance Criteria
The Linux package interface allows users to allocate and control a fraction of a GPU.
The Docker Compose plugin seamlessly integrates with the Linux package, enabling GPU resource specification.
The Kubernetes plugin effectively utilizes the Linux package for managing GPU resources in pods.
Extensive testing is conducted to ensure compatibility and reliability across different environments.
Implementation Details
Develop the framework-agnostic Linux package with a clear and intuitive interface for GPU resource management.
Implement the Docker Compose plugin to communicate with the Linux package and translate resource specifications.
Create the Kubernetes plugin to interact with the Linux package and enforce GPU resource limits and requests in pods.
Ticket Contents
Description
Create a framework-agnostic Linux package with an exposed interface that allows the utilization of a fraction of a GPU, similar to how cgroups works. This package will enable users to efficiently allocate and manage GPU resources for their applications.
https://docs.run.ai/v2.15/Researcher/Walkthroughs/walkthrough-fractions/
Goals & Mid-Point Milestone
Goals
-Framework-Agnostic Linux Package:
-Develop a Linux package with an exposed interface for managing GPU resources.
- Implement functionality to allocate and control a fraction of a GPU for application usage.
Setup/Installation
No response
Expected Outcome
Acceptance Criteria
Implementation Details
Mockups/Wireframes
No response
Product Name
BharatSahAIyak
Organisation Name
SamagraX
Domain
Open Source Library
Tech Skills Needed
Docker
Mentor(s)
@ChakshuGautam
Category
AI
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