nebuly-ai / nos
Module to Automatically maximize the utilization of GPU resources in a Kubernetes cluster through real-time dynamic partitioning and elastic quotas - Effortless optimization at its finest!
☆658Updated last year
Alternatives and similar repositories for nos
Users that are interested in nos are comparing it to the libraries listed below
Sorting:
- NVIDIA device plugin for Kubernetes☆48Updated last year
- KAI Scheduler is an open source Kubernetes Native scheduler for AI workloads at large scale☆549Updated this week
- Dynamic Resource Allocation (DRA) for NVIDIA GPUs in Kubernetes☆355Updated this week
- Controller for ModelMesh☆230Updated this week
- JobSet: a k8s native API for distributed ML training and HPC workloads☆226Updated last week
- User documentation for KServe.☆106Updated this week
- GPU environment and cluster management with LLM support☆605Updated last year
- Distributed Model Serving Framework☆165Updated this week
- Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Serv…☆476Updated 3 weeks ago
- PyTriton is a Flask/FastAPI-like interface that simplifies Triton's deployment in Python environments.☆790Updated 3 months ago
- Triton Model Navigator is an inference toolkit designed for optimizing and deploying Deep Learning models with a focus on NVIDIA GPUs.☆200Updated 3 weeks ago
- Module, Model, and Tensor Serialization/Deserialization☆227Updated this week
- LeaderWorkerSet: An API for deploying a group of pods as a unit of replication☆442Updated this week
- AWS virtual gpu device plugin provides capability to use smaller virtual gpus for your machine learning inference workloads☆204Updated last year
- GPU plugin to the node feature discovery for Kubernetes☆300Updated 11 months ago
- Run Slurm in Kubernetes☆221Updated this week
- A curated list of awesome projects and resources related to Kubeflow (a CNCF incubating project)☆209Updated 2 weeks ago
- Kubernetes Operator, ansible playbooks, and production scripts for large-scale AIStore deployments on Kubernetes.☆96Updated this week
- Model Deployment at Scale on Kubernetes 🦄️☆811Updated last year
- Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)☆475Updated this week
- Practical GPU Sharing Without Memory Size Constraints☆264Updated last month
- Resource-adaptive cluster scheduler for deep learning training.☆439Updated 2 years ago
- TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and sup…☆362Updated last week
- CUDA checkpoint and restore utility☆333Updated 3 months ago
- elastic-gpu-scheduler is a Kubernetes scheduler extender for GPU resources scheduling.☆141Updated 2 years ago
- A top-like tool for monitoring GPUs in a cluster☆86Updated last year
- MIG Partition Editor for NVIDIA GPUs☆198Updated last week
- ☆207Updated last week
- deployKF builds machine learning platforms on Kubernetes. We combine the best of Kubeflow, Airflow†, and MLflow† into a complete platform…☆431Updated 9 months ago
- Run your deep learning workloads on Kubernetes more easily and efficiently.☆521Updated last year