Alternatives and similar repositories for KubeShare

Users that are interested in KubeShare are comparing it to the libraries listed below

• NTHU-LSALAB / Gemini
  An efficient GPU resource sharing system with fine-grained control for Linux platforms.
  ☆83Updated last year
• pokerfaceSad / GPUMounter
  A kubernetes plugin which enables dynamically add or remove GPU resources for a running Pod
  ☆125Updated 3 years ago
• elastic-ai / elastic-gpu-scheduler
  elastic-gpu-scheduler is a Kubernetes scheduler extender for GPU resources scheduling.
  ☆141Updated 2 years ago
• Project-HAMi / HAMi-core
  HAMi-core compiles libvgpu.so, which ensures hard limit on GPU in container
  ☆167Updated last week
• tkestack / vcuda-controller
  ☆530Updated 11 months ago
• volcano-sh / devices
  Device plugins for Volcano, e.g. GPU
  ☆121Updated 2 months ago
• tkestack / gpu-admission
  ☆132Updated 4 years ago
• kubedl-io / morphling
  Automatic tuning for ML model deployment on Kubernetes
  ☆80Updated 7 months ago
• AliyunContainerService / gpushare-device-plugin
  GPU Sharing Device Plugin for Kubernetes Cluster
  ☆481Updated 2 years ago
• Mellanox / k8s-rdma-shared-dev-plugin
  ☆260Updated last week
• AliyunContainerService / et-operator
  Kubernetes Operator for AI and Bigdata Elastic Training
  ☆85Updated 4 months ago
• alibaba / GPU-scheduler-for-deep-learning
  GPU-scheduler-for-deep-learning
  ☆205Updated 4 years ago
• Mellanox / network-operator
  NVIDIA Network Operator
  ☆249Updated last week
• kubeflow / mpi-operator
  Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)
  ☆480Updated 3 weeks ago
• microsoft / hivedscheduler
  Kubernetes Scheduler for Deep Learning
  ☆262Updated 3 years ago
• elastic-ai / elastic-gpu-agent
  elastic-gpu-agent is a Kubernetes device plugin for GPU resources allocation on node.
  ☆54Updated 2 years ago
• NVIDIA / gpu-feature-discovery
  GPU plugin to the node feature discovery for Kubernetes
  ☆300Updated last year
• heyfey / vodascheduler
  GPU scheduler for elastic/distributed deep learning workloads in Kubernetes cluster (IC2E'23)
  ☆34Updated last year
• Cambricon / cambricon-k8s-device-plugin
  ☆51Updated 3 weeks ago
• NVIDIA / kubevirt-gpu-device-plugin
  NVIDIA k8s device plugin for Kubevirt
  ☆253Updated this week
• NVIDIA / k8s-dra-driver-gpu
  Dynamic Resource Allocation (DRA) for NVIDIA GPUs in Kubernetes
  ☆363Updated this week
• NVIDIA / mig-parted
  MIG Partition Editor for NVIDIA GPUs
  ☆198Updated 2 weeks ago
• coreweave / nccl-tests
  NVIDIA NCCL Tests for Distributed Training
  ☆91Updated 2 weeks ago
• NVIDIA / go-gpuallocator
  Go Abstraction for Allocating NVIDIA GPUs with Custom Policies
  ☆113Updated 10 months ago
• sakjain92 / Fractional-GPUs
  Splits single Nvidia GPU into multiple partitions with complete compute and memory isolation (wrt to performace) between the partitions
  ☆159Updated 6 years ago
• everpeace / k8s-scheduler-extender-example
  An example of kubernetes scheduler extender
  ☆183Updated last year
• Deepomatic / shared-gpu-nvidia-k8s-device-plugin
  Fork of NVIDIA device plugin for Kubernetes with support for shared GPUs by declaring GPUs multiple times
  ☆88Updated 2 years ago
• Mellanox / k8s-rdma-sriov-dev-plugin
  Kubernetes Rdma SRIOV device plugin
  ☆111Updated 4 years ago
• tkestack / gpu-manager
  ☆875Updated last year
• kubernetes-sigs / lws
  LeaderWorkerSet: An API for deploying a group of pods as a unit of replication
  ☆457Updated last week