AliyunContainerService / et-operatorLinks
Kubernetes Operator for AI and Bigdata Elastic Training
☆86Updated 5 months ago
Alternatives and similar repositories for et-operator
Users that are interested in et-operator are comparing it to the libraries listed below
Sorting:
- A kubernetes plugin which enables dynamically add or remove GPU resources for a running Pod☆125Updated 3 years ago
- Device plugins for Volcano, e.g. GPU☆123Updated 2 months ago
- HAMi-core compiles libvgpu.so, which ensures hard limit on GPU in container☆171Updated this week
- Automatic tuning for ML model deployment on Kubernetes☆80Updated 7 months ago
- ☆133Updated 4 years ago
- ☆116Updated 2 years ago
- Common APIs and libraries shared by other Kubeflow operator repositories.☆52Updated 2 years ago
- ☆267Updated last week
- Elastic Deep Learning Training based on Kubernetes by Leveraging EDL and Volcano☆32Updated 2 years ago
- Using CRDs to manage GPU resources in Kubernetes.☆200Updated 2 years ago
- ☆51Updated last month
- Run your deep learning workloads on Kubernetes more easily and efficiently.☆523Updated last year
- Fault-tolerant for DL frameworks☆70Updated last year
- Kubernetes Rdma SRIOV device plugin☆111Updated 4 years ago
- ☆530Updated last year
- RDMA device plugin for Kubernetes☆215Updated last year
- elastic-gpu-scheduler is a Kubernetes scheduler extender for GPU resources scheduling.☆141Updated 2 years ago
- Go Abstraction for Allocating NVIDIA GPUs with Custom Policies☆113Updated this week
- Device-plugin for volcano vgpu which support hard resource isolation☆85Updated 2 weeks ago
- Yoda is a kubernetes scheduler based on GPU metrics. Yoda是一个基于GPU参数指标的 Kubernetes 调度器☆139Updated 3 years ago
- The API (CRD) of Volcano☆43Updated 2 weeks ago
- A CLI for Kubeflow.☆60Updated last year
- Kubernetes Scheduler for Deep Learning☆262Updated 3 years ago
- A general-purpose GPU monitor, witch can monitor GPU cards and the usage of each pods or containers.☆19Updated 3 years ago
- Large language model fine-tuning capabilities based on cloud native and distributed computing.☆92Updated last year
- Cloud-native way to provide elastic Jupyter Notebooks on Kubernetes. Run remote kernels, natively.☆199Updated 3 years ago
- An example of kubernetes scheduler extender☆183Updated last year
- A federation scheduler for multi-cluster☆44Updated 2 weeks ago
- GPU-scheduler-for-deep-learning☆206Updated 4 years ago
- ☆32Updated 4 years ago