NVIDIA / cloud-native-stackLinks
Run cloud native workloads on NVIDIA GPUs
☆186Updated 2 months ago
Alternatives and similar repositories for cloud-native-stack
Users that are interested in cloud-native-stack are comparing it to the libraries listed below
Sorting:
- MIG Partition Editor for NVIDIA GPUs☆202Updated this week
- An Operator for deployment and maintenance of NVIDIA NIMs and NeMo microservices in a Kubernetes environment.☆115Updated this week
- NVIDIA Data Center GPU Manager (DCGM) is a project for gathering telemetry and measuring the health of NVIDIA GPUs☆542Updated 2 months ago
- GPU plugin to the node feature discovery for Kubernetes☆301Updated last year
- Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)☆487Updated last month
- The NVIDIA GPU driver container allows the provisioning of the NVIDIA driver through the use of containers.☆115Updated last week
- NVIDIA Network Operator☆262Updated this week
- Kubernetes Operator, ansible playbooks, and production scripts for large-scale AIStore deployments on Kubernetes.☆102Updated last week
- Fork of NVIDIA device plugin for Kubernetes with support for shared GPUs by declaring GPUs multiple times☆88Updated 3 years ago
- NVIDIA DRA Driver for GPUs☆392Updated this week
- Share GPU between Pods in Kubernetes☆210Updated 2 years ago
- Collection of tools and examples for managing Accelerated workloads in Kubernetes Engine☆237Updated last week
- Kubernetes (k8s) device plugin to enable registration of AMD GPU to a container cluster☆333Updated 2 weeks ago
- NVIDIA k8s device plugin for Kubevirt☆256Updated last week
- Controller for ModelMesh☆233Updated last month
- Model Registry provides a single pane of glass for ML model developers to index and manage models, versions, and ML artifacts metadata. I…☆133Updated this week
- ☆253Updated 2 weeks ago
- A Slurm cluster for Kubernetes☆61Updated 11 months ago
- Bitfusion with Kubernetes Integration Support☆50Updated last year
- ☆83Updated 7 months ago
- NVIDIA vGPU Device Manager manages NVIDIA vGPU devices on top of Kubernetes☆135Updated last week
- NVIDIA NCCL Tests for Distributed Training☆97Updated 2 weeks ago
- An open-source toolkit for deploying and managing high performance clusters for HPC, AI, and data analytics workloads.☆259Updated this week
- Tools to deploy GPU clusters in the Cloud☆31Updated 2 years ago
- Enabling Kubernetes to make pod placement decisions with platform intelligence.☆175Updated 5 months ago
- Tools for building GPU clusters☆1,369Updated last week
- Splits single Nvidia GPU into multiple partitions with complete compute and memory isolation (wrt to performace) between the partitions☆159Updated 6 years ago
- ☆62Updated last week
- AWS virtual gpu device plugin provides capability to use smaller virtual gpus for your machine learning inference workloads☆205Updated last year
- Distributed Model Serving Framework☆173Updated last month