aws / sagemaker-hyperpod-cliLinks
A CLI tool that helps manage training jobs on the SageMaker HyperPod clusters orchestrated by Amazon EKS
☆27Updated this week
Alternatives and similar repositories for sagemaker-hyperpod-cli
Users that are interested in sagemaker-hyperpod-cli are comparing it to the libraries listed below
Sorting:
- Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS.☆334Updated this week
- ☆52Updated 2 weeks ago
- Create, List, Update, Delete Amazon EKS clusters. Deploy and manage software on EKS. Run distributed model training and inference example…☆60Updated last week
- A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)☆251Updated last month
- Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stac…☆249Updated 4 months ago
- Some crazy experiments☆35Updated 6 months ago
- EFA/NCCL base AMI build Packer and CodeBuild/Pipeline files. Also base Docker build files to enable EFA/NCCL in containers☆44Updated last year
- Example code for AWS Neuron SDK developers building inference and training applications☆147Updated this week
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆56Updated 3 years ago
- ☆114Updated this week
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at h…☆141Updated 10 months ago
- ☆145Updated 2 years ago
- Create and manage Amazon SageMaker HyperPod clusters, run distributed model training☆25Updated last week
- ☆14Updated 9 months ago
- ☆63Updated last week
- Use the two different methods (deepspeed and SageMaker model parallelism library) to fine tune llama model on Sagemaker. Then deploy the …☆24Updated 2 years ago
- A high-throughput and memory-efficient inference and serving engine for LLMs☆19Updated 3 weeks ago
- Hands-on workshop for distributed training and hosting on SageMaker☆146Updated 3 weeks ago
- This Guidance demonstrates how to deploy a machine learning inference architecture on Amazon Elastic Kubernetes Service (Amazon EKS). It …☆44Updated 2 months ago
- A TensorFlow Serving solution for use in SageMaker. This repo is now deprecated.☆172Updated last year
- ☆73Updated last year
- WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolk…☆186Updated 5 years ago
- ☆113Updated 7 months ago
- Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.☆127Updated last year
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆205Updated 2 months ago
- Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆407Updated last year
- Amazon SageMaker Local Mode Examples☆258Updated 3 months ago
- Powering AWS purpose-built machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and i…☆535Updated last week
- Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆516Updated 2 weeks ago
- CloudFormation to setup Kubeflow and Sagemaker Operators on EKS☆25Updated 2 years ago