Alternatives and similar repositories for pod-gpushare-metrics-exporter

Users that are interested in pod-gpushare-metrics-exporter are comparing it to the libraries listed below

• kubedl-io / morphling
  Automatic tuning for ML model deployment on Kubernetes
  ☆81Updated last year
• alibaba / GPU-scheduler-for-deep-learning
  GPU-scheduler-for-deep-learning
  ☆210Updated 5 years ago
• pokerfaceSad / GPUMounter
  A kubernetes plugin which enables dynamically add or remove GPU resources for a running Pod
  ☆127Updated 3 years ago
• microsoft / hivedscheduler
  Kubernetes Scheduler for Deep Learning
  ☆262Updated 3 years ago
• AliyunContainerService / et-operator
  Kubernetes Operator for AI and Bigdata Elastic Training
  ☆90Updated last year
• kzhang28 / Optimus
  An Efficient Dynamic Resource Scheduler for Deep Learning Clusters
  ☆41Updated 8 years ago
• pengyanghua / optimus
  A Deep Learning Cluster Scheduler
  ☆37Updated 5 years ago
• cjg / GVirtuS
  This repository is an archive. Refer to https://github.com/gvirtus/GVirtuS
  ☆44Updated 4 years ago
• kleveross / ftlib
  Fault-tolerant for DL frameworks
  ☆70Updated 2 years ago
• NTHU-LSALAB / Gemini
  An efficient GPU resource sharing system with fine-grained control for Linux platforms.
  ☆88Updated last year
• SymbioticLab / Salus
  Fine-grained GPU sharing primitives
  ☆148Updated 6 months ago
• ai-dynamo / aiconfigurator
  Offline optimization of your disaggregated Dynamo graph
  ☆177Updated this week
• sakjain92 / Fractional-GPUs
  Splits single Nvidia GPU into multiple partitions with complete compute and memory isolation (wrt to performace) between the partitions
  ☆165Updated 6 years ago
• NTHU-LSALAB / KubeShare
  Share GPU between Pods in Kubernetes
  ☆216Updated 2 years ago
• SymbioticLab / Tiresias
  Tiresias is a GPU cluster manager for distributed deep learning training.
  ☆166Updated 5 years ago
• tkestack / gpu-admission
  ☆132Updated 4 years ago
• volcano-sh / devices
  Device plugins for Volcano, e.g. GPU
  ☆131Updated 10 months ago
• elastic-ai / elastic-gpu-scheduler
  elastic-gpu-scheduler is a Kubernetes scheduler extender for GPU resources scheduling.
  ☆145Updated 3 years ago
• stanford-futuredata / gavel
  Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which appeared at OSDI 2020
  ☆137Updated last year
• netx-repo / PipeSwitch
  PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications
  ☆127Updated 3 years ago
• Bruce-Lee-LY / cuda_hook
  Hooked CUDA-related dynamic libraries by using automated code generation tools.
  ☆172Updated 2 years ago
• NVIDIA / go-gpuallocator
  Go Abstraction for Allocating NVIDIA GPUs with Custom Policies
  ☆121Updated last month
• kubeflow / common
  Common APIs and libraries shared by other Kubeflow operator repositories.
  ☆53Updated 2 years ago
• sgl-project / rbg
  A workload for deploying LLM inference services on Kubernetes
  ☆167Updated this week
• zw0610 / zw0610.github.io
  ☆58Updated 5 years ago
• heyfey / vodascheduler
  GPU scheduler for elastic/distributed deep learning workloads in Kubernetes cluster (IC2E'23)
  ☆34Updated 2 years ago
• hustcat / k8s-rdma-device-plugin
  RDMA device plugin for Kubernetes
  ☆226Updated 2 years ago
• virtaitech / orion
  ☆277Updated 2 years ago
• Mellanox / k8s-rdma-sriov-dev-plugin
  Kubernetes Rdma SRIOV device plugin
  ☆114Updated 5 years ago
• tkestack / vcuda-controller
  ☆540Updated last year