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.
You will have to create a model design first before submitting a build job. It is a good practice to run quick build before submitting a build job to validate any base level errors in the model design.
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.