Popular GitHub Repositories for Slurm

Machine Learning Engineering Open Book

dstack is a lightweight, open-source alternative to Kubernetes & Slurm, simplifying AI container orchestration with multi-cloud & on-prem support. It natively supports NVIDIA, AMD, TPU, and Intel accelerators.

Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.

An open-source toolkit for deploying and managing high performance clusters for HPC, AI, and data analytics workloads.

这个项目提供了一个在 Kubernetes 中运行 Slurm 的框架。

A template for starting reproducible Python machine-learning projects with hardware acceleration. Find an example at https://github.com/CLAIRE-Labo/no-representation-no-trust

Walkthroughs for DSL, AirSim, the Vector Institute, and more

A toolkit featured artificial intelligence × ab initio for computational chemistry research.

Efficient LLM inference on Slurm clusters using vLLM.

Class of High Performance Computing taken at U.T.P 2017

Singularity recipe for AlphaFold

Run Slurm as a Kubernetes scheduler. A Slinky project.

Slurm Spank plugins for Quantum resources and jobs support

Simple High performance Infrastructure for Neural network Experiments

Transformers training in a supercomputer with the ? Stack and Slurm

pip install the deep learning & HPC starter pack to begin your project.

? Automated deployment stack for AMD MI300 GPUs with optimized ML/DL frameworks and HPC-ready configurations

Identify and reduce instances of underutilization by the users of high-performance computing systems

Terminal user interface for Slurm HPC clusters

Neural Architecture Search Pipeline on HPC for Earth Observation Data