# AliyunContainerService/gpushare-scheduler-extender

GPU Sharing Scheduler for Kubernetes Cluster

Repository: https://github.com/AliyunContainerService/gpushare-scheduler-extender
Canonical: https://ross.abutalabs.com/products/gpushare-scheduler-extender
Language: Go
License: Apache-2.0
License Family: permissive
Last push: 2023-12-29T07:04:43+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2753, "days_push": 978, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1532, forks 311 (observed 2026-08-28T04:04:59.533730+00:00)

## What it is
A Kubernetes scheduler extender that enables multiple pods to share the same NVIDIA GPU device, increasing GPU utilization for inference and training workloads. It works with a companion device plugin to schedule GPU memory requests across pods on native Kubernetes clusters.

## Use cases
- share a single GPU between multiple pods in Kubernetes
- increase GPU utilization for inference workloads
- schedule pods by GPU memory requests
- binpack pods onto the same GPU device
- run data science workloads on shared GPUs
- avoid dedicating a whole GPU to small tasks

## When to choose
- you run Kubernetes with NVIDIA GPUs and pods need only a fraction of a GPU
- you want to improve GPU utilization without switching to a full GPU operator
- you use Alibaba Cloud Kubernetes and want a Helm-installable GPU sharing solution

## When to avoid
- you need hard GPU isolation or QoS guarantees between tenants
- you require MIG-based partitioning or vendor-supported GPU sharing
- you need actively maintained software with recent releases and support

## Facets
- artifact type: service
- maturity: maintenance
- function: container-orchestration, scheduling, gpu-computing, deployment
- domain: cloud-computing, infrastructure-as-code, gpu-computing, machine-learning
- platform: go, cloud
- tags: gpu-sharing, scheduler-extender, device-plugin, kubernetes-scheduler, nvidia-gpu, binpack, resource-scheduling, containers, kubernetes, docker, linux

## Member repositories
- AliyunContainerService/gpushare-scheduler-extender (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:59.533730+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:31:16.945894+00:00, confidence not recorded.
  - readme: https://github.com/AliyunContainerService/gpushare-scheduler-extender (fetched 2026-08-28T04:04:59.533730+00:00, sha d1a99d2e9d53)
- Data as of 2026-08-30T08:39:29.467469+00:00.