# batch-samples

**Repository Path**: mirrors_GoogleCloudPlatform/batch-samples

## Basic Information

- **Project Name**: batch-samples
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-07-09
- **Last Updated**: 2026-03-21

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Batch

## Scripts, Tools and Sample Jobs

This repository contains step-by-step tutorials and code samples to learn how to use [Batch](https://cloud.google.com/batch).

- [api-samples](api-samples): Simple snippets of how to reference a specific feature in the API.
- [build-custom-image](build-custom-image): Instructions on how to create a Batch compatible image with various operating system types.
- [gen-ai](gen-ai): Examples for Generative AI use cases, including fine-tuning large language models.
- [transcoding](transcoding): Quickstart tutorial of transcoding videos using Batch.
- [busybox](busybox): A simple sample to run a container as a Batch job.
- [primegen](primegen): An end-to-end sample of using Workflows and Cloud Build with Batch to automate the lifecycle of Batch jobs.
- [wrf](wrf): A sample for running the [Weather Research and Forecasting
  Model](https://www.mmm.ucar.edu/weather-research-and-forecasting-model) in a
  Batch Job with MPI.

This alternate [GCP PyBatch](https://github.com/GoogleCloudPlatform/scientific-computing-examples/tree/main/python-batch) repository contains a Python wrapper using the [Google Cloud Batch Python API](https://cloud.google.com/python/docs/reference/batch/latest).

# About Batch

High-performance computing and throughput-oriented batch computing are expected to perform at scale and with speed. Many workloads, such as drug discovery and genomics, financial services, and VFX rendering, require access to a large and diverse set of computing resources on demand. With more and faster computing power, you can convert an idea into a discovery, a hypothesis into a cure, or an inspiration into a product. Google Cloud provides customers flexible, on-demand access to large amounts of cutting-edge high-performance resources with Compute Engine.

Batch is a fully-managed cloud service for managing HPC, AI/ML, and data processing batch workloads on Google Cloud in a cloud-native manner. With the introduction of Batch, we seek to work with the community to define a new way to do batch computing that is cloud-optimized.

This public preview release brings traditional batch scheduler functionality into a cloud-first world. Simply focus on your workload and let Google Cloud manage the infrastructure and lifecycle of the resources. To the end-user, Batch presents a familiar interface that supports well-understood batch concepts, including:

- Support for submitting shell scripts as batch jobs
- Support for containerized batch jobs
- The ability to easily specify resources required by a job (vCPU, memory, GPUs, disks)
- Retries and Priorities
- This repository contains scripts, tools and sample jobs for use with Batch.

For more information about Batch, see

- https://cloud.google.com/batch
- https://github.com/googleapis/googleapis/tree/master/google/cloud/batch

# Community

You can go to the [Cloud Forum](https://www.googlecloudcommunity.com/gc/Infrastructure-Compute-Storage/bd-p/cloud-infrastructure) to engage with the Batch community for assistance.