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hpc @aws
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Stars
Seamlessly invoke Amazon Bedrock or your custom models, enabling a smooth experience with AWS GenAI services.
A multi-platform experimentation framework written in python.
A validation and profiling tool for AI infrastructure
Contains example recipes that demonstrate how to build HPC systems using AWS services and solutions.
This repository contains HPC application best practices, specifically designed and optimized to run on AWS.
Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS.
System performance analysis and characterization tool
A CLI tool to gather performance data and visualize using HTML graphs. Data from multiple collection runs can be viewed side-by-side, allowing for easy comparison of the same workload across differ…
Research and Engineering Studio (RES) is an AWS supported open source product that enables IT administrators to provide an easy-to-use web portal for scientists and engineers to run technical compu…
Dragon distributed runtime for HPC and AI applications and workflows
The Chef cookbook used to build and bootstrap AWS ParallelCluster
Scripts to collect data for collectives selection tuning
Notebooks for showcasing basic functionalities of python and jupyter
The public home of NOAA EMC's FV3GFS Modeling System.
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
AWS ParallelCluster is an AWS supported Open Source cluster management tool to deploy and manage HPC clusters in the AWS cloud.
Template scripts to setup Docker Images compatible with running on MNP Batch
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Natural language processing & computer vision models optimized for AWS
An HPC workload manager and job scheduler for desktops, clusters, and clouds.