kubeflow / mpi-operator
Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)
☆461Updated last month
Alternatives and similar repositories for mpi-operator:
Users that are interested in mpi-operator are comparing it to the libraries listed below
- GPU plugin to the node feature discovery for Kubernetes☆298Updated 9 months ago
- Run your deep learning workloads on Kubernetes more easily and efficiently.☆517Updated 11 months ago
- GPU Sharing Device Plugin for Kubernetes Cluster☆476Updated 2 years ago
- Device plugins for Volcano, e.g. GPU☆115Updated 5 months ago
- Dynamic Resource Allocation (DRA) for NVIDIA GPUs in Kubernetes☆323Updated this week
- ☆226Updated last week
- Kubernetes Operator for AI and Bigdata Elastic Training☆85Updated last month
- Share GPU between Pods in Kubernetes☆207Updated 2 years ago
- ☆113Updated 2 years ago
- A CLI for Kubeflow.☆754Updated last week
- Fork of NVIDIA device plugin for Kubernetes with support for shared GPUs by declaring GPUs multiple times☆88Updated 2 years ago
- Common APIs and libraries shared by other Kubeflow operator repositories.☆52Updated last year
- JobSet: a k8s native API for distributed ML training and HPC workloads☆192Updated this week
- Kubernetes Scheduler for Deep Learning☆259Updated 2 years ago
- Controller for ModelMesh☆221Updated this week
- A kubernetes plugin which enables dynamically add or remove GPU resources for a running Pod☆122Updated 3 years ago
- ☆130Updated 3 years ago
- AWS virtual gpu device plugin provides capability to use smaller virtual gpus for your machine learning inference workloads☆203Updated last year
- A batch scheduler of kubernetes for high performance workload, e.g. AI/ML, BigData, HPC☆1,084Updated last year
- Go Abstraction for Allocating NVIDIA GPUs with Custom Policies☆113Updated 7 months ago
- MIG Partition Editor for NVIDIA GPUs☆188Updated 2 weeks ago
- RDMA device plugin for Kubernetes☆207Updated last year
- elastic-gpu-scheduler is a Kubernetes scheduler extender for GPU resources scheduling.☆140Updated 2 years ago
- Automatic tuning for ML model deployment on Kubernetes☆81Updated 4 months ago
- HAMi-core compiles libvgpu.so, which ensures hard limit on GPU in container☆133Updated this week
- Cloud-native way to provide elastic Jupyter Notebooks on Kubernetes. Run remote kernels, natively.☆195Updated 2 years ago
- ☆517Updated 8 months ago
- Kubernetes (k8s) device plugin to enable registration of AMD GPU to a container cluster☆307Updated this week
- NVIDIA Network Operator☆235Updated this week
- LeaderWorkerSet: An API for deploying a group of pods as a unit of replication☆296Updated last week