User Management

Policy Management

Third Party Accounts

IAM Docs

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The vault to explore all the features  of Scalifi Ai’s 
Identity and Access Management.

Identity and Access Management

Documentation Hub

Model Designs

Model Jobs

Model Building Docs

The vault to explore all the features  of Scalifi Ai’s 
Model Building Service.

Model Building

Usage

Quota

BUC Docs

The vault to explore all the features  of Scalifi Ai’s 
Billing and Usage Center.

Billing and Usage

Model Management

Metadata

Model Version

Model Catalog Docs

The vault to explore all the features of Scalifi Ai’s Model Catalog.

Model Catalog

The Model Build Job is a robust feature designed for constructing and testing machine learning model architectures.It validates models against various hardware requirements and architectural constraints, providing a detailed report of memory and CPU needs along with errors if any. Users can choose the computational environment, such as shared or private virtual machines, to optimize performance and security.

What is a Model Build Job?

From the model design canvas, go to Build Model → Submit Build Job.

You will be shown the requirement data like Total Memory, Total Peak Memory along with the model design layers/nodes information.

Next, select the virtual machine as per the requirement.

Review the virtual machine information and click on Submit Build Job

To view the build job information, go to Model Jobs from the header menu and click on the job you want to view. You will have the entire job information like Job Type, Progress, Status, Job Result, VM Configuration, Design Quick View, and a lot more organized in a single view.

Submit a Build Job

The Model Export Job facilitates the seamless transition from model development to deployment. It allows users to export their trained models in various formats, including framework-specific code or weight files. This feature also integrates with Scalifi Ai's Data Ingestion service to support a range of connectors, enabling efficient deployment across diverse environments like databases, cloud storage, or API endpoints.

What is a Model Export Job?

Scalifi Ai currently supports model export as a python script or jupyter notebook. You can export the model design including both options.

Once the model design is ready, you can export the model design, by clicking on the Export button.

Next, Save and Build the model design → Select source connector → Select target path.

Select the export options and virtual machine (if needed) in Configure Export Options.

Finally, review the export configuration and click on Export Model. You will find the exported file on the path you have chosen in the connector.

Submit an Export Job

Go to the Model Jobs section from the header menu, select the job you want to delete → go to Actions → Terminate.

From the model job page, select Action → Terminate

Terminate Job

Go to the Model Jobs section from the header menu, select the job you want to delete → go to Actions → Delete.

From the model job page, select Action → Delete.

Delete Job

Model Jobs within Scalifi Ai's MBS are comprehensive tasks or processes designed to handle different aspects of the machine learning model lifecycle. They include building, testing, exporting, and managing models with a focus on ease of use, efficiency, and adaptability to various computational needs. Each job type, from building the architecture to exporting for deployment, is tailored to streamline the workflow, reduce errors, and optimize performance for both high-demand and routine modeling tasks. They enable users to handle complex model operations with minimal coding, offering a user-friendly approach to sophisticated machine learning tasks.

Allowed operations that users can perform on the platform are: