Batch Compute

A low-cost distributed computing platform that intelligently schedules resources to process jobs of any size

Overview

Batch Compute is a cost-effective and easy-to-use computing service for enterprises and research institutes engaged in big data computing. It intelligently manages jobs and schedules the optimal resources necessary based on the configured batch size, allowing you to focus on analyzing and processing data results.

Benefits

Fully Managed Service

Batch Compute can fully manage resource and process scheduling for batch computing, so you only need to pay attention to the batch computing status once jobs are defined and submitted. Batch Compute takes care of the creation and termination of the CVMs used for computing, deployment and execution of the computing environment as well as storage and management of the raw data and results.

Cost Optimization

Batch Compute can dynamically allocate and elastically scale the computing resources created for your batch tasks based on the number of tasks and resource requirements, reducing the costs of resource usage. Additionally, Batch Compute requires zero upfront costs, allowing you to make full use of resources for computing jobs with even lower overhead.

Powerful Features and Ease of Use

Batch Compute comes with suite of complementary features that help you define and submit computing jobs, such as defining a variety of implementation methods, orchestrating the computing process and monitoring running status. In addition, it can work in tandem with other relevant Tencent Cloud services such as COS. Batch Compute provides one-stop closed-loop services for computing material acquisition, computing job submission and execution and computing result upload.

Features

Batch Compute offers various powerful functions, including automatic resource management, job scheduling and data loading, significantly improving the usage efficiency.
Fine Task Definition

After you specify the specs of the CVMs used to process the batch tasks, images and code or commands to be executed, Batch Compute will schedule resources and start computing tasks based on the configuration.

Defining CVM Specs

Intended for specifying the CPU, memory, disk capacity and other information of the cloud server.

Defining Executing Image

Intended for specifying the execution environment on which the batch tasks depend; CVM images and Docker can be used to specify the execution environment.

Running Command Lines and Parameters

After the CVMs are created and images deployed, Batch Compute will execute the user-specified command lines and add the user-configured parameters.

Scenarios

Life Sciences

Business Type

DNA sequencing, drug screening

Suggestions for Cloudification

High-performance computing environments are necessary for enabling labs or genetic companies to quickly obtain the analytical results of high volumes of data and the scientific insights that facilitate product launches. Batch Compute can be readily used in applications such as computational chemistry, clinical modeling, genome sequencing and analytics across an organization.

Digital Media

Business Types

Movie, television and design sketch rendering

Suggestions for Cloudification

Media and entertainment companies need highly scalable batch computing resources to accelerate and automate data processing. Batch Compute gives users the ability to automate content rendering workflows. Users can build their own rendering-dependent processes, while leveraging Batch Compute's abilities to schedule massive volumes of resources and jobs to efficiently complete visual creation work.

Pricing

Batch Compute is completely free of charge. The CVM instances automatically created by Batch Compute are charged in a post-paid manner based on usage according to the CVM pricing rules.