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Intel® oneAPI AI Analytics Toolkit
Intel® oneAPI AI Analytics Toolkit - Achieve End-to-End Performance for Data Science and AI Workloads
Accelerate Data Science & AI Pipelines
The Intel® oneAPI AI Analytics Toolkit gives data scientists, AI developers, and researchers familiar Python* tools and frameworks to accelerate end-to-end data science and machine learning pipelines on Intel® architectures. The components are built using oneAPI libraries for low-level compute optimizations. This toolkit maximizes performance from preprocessing through machine and deep learning phases and provides interoperability for efficient model development and deployment across single and multinodes.
Using this toolkit, you can:
The Intel® oneAPI AI Analytics Toolkit includes the following components:
Documentation and Resources
For even more examples and information on AI Kit optimizations consider visiting the following resources:
Intel® oneAPI AI Analytics Toolkit Website
Intel® oneAPI AI Analytics Toolkit Code Samples
Intel® oneAPI AI Analytics Toolkit Release Notes
Intel® oneAPI AI Analytics Toolkit Support Forum
The following information was extracted from the dockerfile and other sources.
| Canonical image ID | Intel® oneAPI AI Analytics Toolkit |
| Summary | This Intel oneAPI Toolkit Container provides a comprehensive set of interoperable AI software tools that help to accelerate end to end data science and Machine learning pipelines on Intel architectures with familiar Python libraries and frameworks. |
| Description | The s2i-core image provides any images layered on top of it with all the tools needed to use source-to-image functionality while keeping the image size as small as possible. |
| Provider | INTEL CORP |
| Maintainer | abolfazl.shahbazi@intel.com;sharvil.shah@intel.com |
| Repository name | Intel\u00ae oneAPI Toolkit |
| Image version | v2023.0 |
| Architecture | amd64 |
| Exposed ports | 8080:http |
The following evidence verifies the image's security and build process compliance with mandated internal standards.
| Security audit date | 4/15/2024, 3:00:00 PM |
| Container certification |
Use a registry service account token to authenticate your container client. This allows you to pull images without using your personal Red Hat credentials, which is recommended for CI/CD pipelines and automated deployments.
Run the following command, then enter your registry token credentials when prompted by the terminal.
Pull the image
Use the following instructions to get images from a Red Hat container registry using your Red Hat login.
Run the following command, then enter your login credentials when prompted by the terminal.
Pull the image