kubeflow / mpi-operatorLinks
Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)
☆510Updated 2 weeks ago
Alternatives and similar repositories for mpi-operator
Users that are interested in mpi-operator are comparing it to the libraries listed below
Sorting:
- GPU plugin to the node feature discovery for Kubernetes☆308Updated last year
- elastic-gpu-scheduler is a Kubernetes scheduler extender for GPU resources scheduling.☆145Updated 3 years ago
- Device plugins for Volcano, e.g. GPU☆131Updated 10 months ago
- Run your deep learning workloads on Kubernetes more easily and efficiently.☆532Updated last year
- ☆334Updated this week
- NVIDIA DRA Driver for GPUs☆553Updated this week
- Common APIs and libraries shared by other Kubeflow operator repositories.☆53Updated 2 years ago
- Kubernetes Operator for AI and Bigdata Elastic Training☆90Updated last year
- Share GPU between Pods in Kubernetes☆216Updated 2 years ago
- Fork of NVIDIA device plugin for Kubernetes with support for shared GPUs by declaring GPUs multiple times☆87Updated 3 years ago
- GPU Sharing Device Plugin for Kubernetes Cluster☆492Updated 3 years ago
- NVIDIA Network Operator☆320Updated this week
- ☆132Updated 4 years ago
- A kubernetes plugin which enables dynamically add or remove GPU resources for a running Pod☆127Updated 3 years ago
- A CLI for Kubeflow.☆810Updated last week
- MIG Partition Editor for NVIDIA GPUs☆241Updated this week
- AWS virtual gpu device plugin provides capability to use smaller virtual gpus for your machine learning inference workloads☆204Updated 2 years ago
- Holistic job manager on Kubernetes☆116Updated last year
- LeaderWorkerSet: An API for deploying a group of pods as a unit of replication☆656Updated last week
- NVIDIA k8s device plugin for Kubevirt☆278Updated this week
- A batch scheduler of kubernetes for high performance workload, e.g. AI/ML, BigData, HPC☆1,092Updated 2 years ago
- Go Abstraction for Allocating NVIDIA GPUs with Custom Policies☆121Updated last month
- ☆122Updated 3 years ago
- Cloud-native way to provide elastic Jupyter Notebooks on Kubernetes. Run remote kernels, natively.☆204Updated 3 years ago
- Kubernetes (k8s) device plugin to enable registration of AMD GPU to a container cluster☆368Updated 2 weeks ago
- ☆540Updated last year
- JobSet: a k8s native API for distributed ML training and HPC workloads☆304Updated this week
- Automatic tuning for ML model deployment on Kubernetes☆81Updated last year
- HAMi-core compiles libvgpu.so, which ensures hard limit on GPU in container☆272Updated this week
- Controller for ModelMesh☆242Updated 7 months ago