kubeflow / mpi-operatorLinks
Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)
☆483Updated last month
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☆300Updated last year
- ☆270Updated this week
- Dynamic Resource Allocation (DRA) for NVIDIA GPUs in Kubernetes☆377Updated last week
- Run your deep learning workloads on Kubernetes more easily and efficiently.☆524Updated last year
- NVIDIA Network Operator☆257Updated this week
- Device plugins for Volcano, e.g. GPU☆124Updated 3 months ago
- Share GPU between Pods in Kubernetes☆209Updated 2 years ago
- A CLI for Kubeflow.☆782Updated last week
- GPU Sharing Device Plugin for Kubernetes Cluster☆483Updated 2 years ago
- Common APIs and libraries shared by other Kubeflow operator repositories.☆52Updated 2 years ago
- MIG Partition Editor for NVIDIA GPUs☆201Updated last week
- elastic-gpu-scheduler is a Kubernetes scheduler extender for GPU resources scheduling.☆141Updated 2 years ago
- JobSet: a k8s native API for distributed ML training and HPC workloads☆236Updated last week
- AWS virtual gpu device plugin provides capability to use smaller virtual gpus for your machine learning inference workloads☆205Updated last year
- LeaderWorkerSet: An API for deploying a group of pods as a unit of replication☆491Updated this week
- Cloud-native way to provide elastic Jupyter Notebooks on Kubernetes. Run remote kernels, natively.☆201Updated 3 years ago
- NVIDIA k8s device plugin for Kubevirt☆257Updated 3 weeks ago
- Fork of NVIDIA device plugin for Kubernetes with support for shared GPUs by declaring GPUs multiple times☆88Updated 3 years ago
- ☆117Updated 2 years ago
- Kubernetes Operator for AI and Bigdata Elastic Training☆87Updated 5 months ago
- HAMi-core compiles libvgpu.so, which ensures hard limit on GPU in container☆172Updated this week
- RDMA device plugin for Kubernetes☆215Updated last year
- A batch scheduler of kubernetes for high performance workload, e.g. AI/ML, BigData, HPC☆1,091Updated 2 years ago
- ☆133Updated 4 years ago
- Go Abstraction for Allocating NVIDIA GPUs with Custom Policies☆113Updated last week
- Kubernetes Scheduler for Deep Learning☆262Updated 3 years ago
- Holistic job manager on Kubernetes☆116Updated last year
- Collection of tools and examples for managing Accelerated workloads in Kubernetes Engine☆235Updated last week
- Kubernetes (k8s) device plugin to enable registration of AMD GPU to a container cluster☆330Updated last week
- ☆532Updated last year