AMD-AGI / AMD-AGI/Infera

Framework: SLA-aware scheduling

Open
#53 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Python
Stars
21
Forks
4
Avg merge
2d 7h
Merged PRs (30d)
28

Description

From the 2026 Q3 roadmap.

Today: Relative cost heuristic; throughput only.
Goal: Settable SLO targets and goodput reporting.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

The issue names no files, tests, or entry points; begin with the linked 2026 Q3 roadmap issue (#9) and trace the current relative-cost and throughput scheduling design. Done means the scheduler supports settable SLO targets and reports goodput, with the expected behavior defined before implementation.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
backend, distributed-systems, performance
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Mostly clear
Newbie friendliness
35/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.