skai-x / elastic-jupyter-operator

Related projects: ⓘ

• pokerfaceSad / GPUMounter
  A kubernetes plugin which enables dynamically add or remove GPU resources for a running Pod
  ☆118Updated 2 years ago
• AliyunContainerService / et-operator
  Kubernetes Operator for AI and Bigdata Elastic Training
  ☆84Updated last month
• volcano-sh / devices
  Device plugins for Volcano, e.g. GPU
  ☆98Updated this week
• elastic-ai / elastic-gpu-scheduler
  elastic-gpu-scheduler is a Kubernetes scheduler extender for GPU resources scheduling.
  ☆134Updated last year
• kubeflow / common
  Common APIs and libraries shared by other Kubeflow operator repositories.
  ☆51Updated last year
• kubedl-io / kubedl
  Run your deep learning workloads on Kubernetes more easily and efficiently.
  ☆498Updated 6 months ago
• tkestack / gpu-admission
  ☆126Updated 3 years ago
• PaddleFlow / paddle-operator
  Elastic Deep Learning Training based on Kubernetes by Leveraging EDL and Volcano
  ☆31Updated last year
• alauda / kubeflow-chart
  Kubeflow helm chart
  ☆136Updated last year
• elastic-ai / elastic-gpu
  Using CRDs to manage GPU resources in Kubernetes.
  ☆185Updated last year
• kleveross / ormb
  Docker for Your ML/DL Models Based on OCI Artifacts
  ☆452Updated 7 months ago
• caicloud / ciao
  Kernel for Kubeflow in Jupyter Notebook
  ☆67Updated 5 years ago
• kleveross / klever
  Cloud Native ML/DL Platform
  ☆127Updated 4 years ago
• Mellanox / k8s-rdma-shared-dev-plugin
  ☆187Updated this week
• kleveross / klever-model-registry
  Cloud Native Machine Learning Model Registry
  ☆80Updated last year
• kubedl-io / morphling
  Automatic tuning for ML model deployment on Kubernetes
  ☆78Updated 4 months ago
• Project-HAMi / HAMi-core
  HAMi-core compiles libvgpu.so, which ensures hard limit on GPU in container
  ☆72Updated last week
• AliyunContainerService / gpushare-device-plugin
  GPU Sharing Device Plugin for Kubernetes Cluster
  ☆459Updated last year
• kubeflow / mpi-operator
  Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)
  ☆426Updated 4 months ago
• NVIDIA / go-gpuallocator
  Go Abstraction for Allocating NVIDIA GPUs with Custom Policies
  ☆104Updated last month
• Deepomatic / shared-gpu-nvidia-k8s-device-plugin
  Fork of NVIDIA device plugin for Kubernetes with support for shared GPUs by declaring GPUs multiple times
  ☆87Updated 2 years ago
• NVIDIA / k8s-dra-driver
  Dynamic Resource Allocation (DRA) for NVIDIA GPUs in Kubernetes
  ☆227Updated this week
• tkestack / vcuda-controller
  ☆490Updated 3 months ago
• kleveross / ftlib
  Fault-tolerant for DL frameworks
  ☆68Updated last year
• project-codeflare / multi-cluster-app-dispatcher
  Holistic job manager on Kubernetes
  ☆107Updated 6 months ago
• NVIDIA / gpu-feature-discovery
  GPU plugin to the node feature discovery for Kubernetes
  ☆287Updated 3 months ago
• kube-queue / kube-queue
  ☆105Updated last year
• kuberenetes-learning-group / fuse-device-plugin
  kubernetes device plugin for using /dev/fuse without privilege
  ☆58Updated 2 years ago
• NTHU-LSALAB / KubeShare
  Share GPU between Pods in Kubernetes
  ☆196Updated last year
• DataTunerX / datatunerx
  Large language model fine-tuning capabilities based on cloud native and distributed computing.
  ☆87Updated 6 months ago