#Slurm
Showing 33 of 33 repositories tagged #slurm, ranked by stars
Machine Learning Engineering Open Book
Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).
A DSL for data-driven computational pipelines
Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.
A WDL, CWL and Python API supporting easy-to-use workflow engine. It is scalable, efficient and cross-platform (Linux/macOS).
A Slurm cluster using docker-compose
TUI for the Slurm Workload Manager
Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS.
TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.
Run Slurm in Kubernetes
Create clusters of VMs on the cloud and configure them with Ansible.
Run Slurm on Kubernetes. A Slinky project.
An open-source toolkit for deploying and managing high performance clusters for HPC, AI, and data analytics workloads.
A Cross-Platform, Multi-Cloud High-Performance Computing Platform
Funnel is a toolkit for distributed task execution via a simple, standard API.
Contains example recipes that demonstrate how to build HPC systems using AWS services and solutions.
This repository provides scripts for running NPT MD simulations using OpenMM, specifically designed for use on the PHX cluster.
Slurm Docker Container on CentOS 7
Run Slurm as a Kubernetes scheduler. A Slinky project.
Slurm TUI
A lightweight, single-node GPU job scheduler implemented in Rust.
A Prometheus exporter and a REST API server to export metrics of compute units of resource managers like SLURM, LSF, Openstack, k8s
A Slurm-based HPC workload management environment, driven by Ansible.
IPython magic for SLURM.
like lazygit/lazydocker but for slurm
:microscope: Collection of the Finnish Grid and Cloud Infrastructure Ansible playbooks
☁️ Export Ploomber pipelines to Kubernetes (Argo), Airflow, AWS Batch, SLURM, and Kubeflow.
GPU Observability with workload attribution. One OTLP agent per node ties hardware metrics (NVIDIA, AMD, Intel Gaudi) to the K8s pod or Slurm job burning the GPU.
Connect to Slurm Compute Nodes Directly from VSCode. Do your debugging and development easily.
slurm-docker-integration provides HPC-Kubernetes integration artifacts
Manage (create, list, modify and delete) and starting jupyter kernels using sbatch
User interface for launching interactive software through SLURM. Supports launching standard graphical applications X11 application (software and hardware accelerated), Jupyter Notebooks/Labs and Windows based applications (through RDP).
Run Jupyter on Orchestra 2