Red Hat Unveils RHEL AI and Assembly on OSTREE and BOOTC

Red Hat introduced distribution red hat enterprise linux ai (Rhel ai), which is specially adapted to perform tasks machine learning is designed to simplify the creation of server solutions using large dialogue models. The composition includes a selection of tools and frameworks for machine learning, as well as drivers for the use of various hardware accelerators AMD, Intel and NVIDIA, and components for involving the capabilities of the Dell, Cisco, HPE, Lenovo and Supermicro servers, optimized for AI systems.

RHEL AI is designed to develop, test and implement machine learning systems based on a large language model granite , open company IBM under the Apache 2.0 license, capable of taking into account when generating the text up to 4 thousand tokens and covering 7 billion parameters. To interact with the Granite model, the open tools of instructs are integrated into the distribution t For Chatbots) to fit their needs and optimize models, as well as for adding additional knowledge and the implementation of the new skills in pre-trained models .

The platform can be used to develop AI applications for corporate needs and for the implementation of services for generating content, create dialogue systems and integration into the application of virtual assistants that support skills such as the ability to answer natural language questions, solve mathematical problems, generate meaningful text on a given topic, make a brief presentation of the contents, correct errors in the text, perform rewriting in other words, help in writing code in various programming languages, form letters and documents on the template.


In addition, the company Red Hat presented The new mode for creating and managing system images based on the Red Hat Enterprise Linux-“ Image Mode “, which allows you to use tools and technologies used to deploy the operating system used to create and launch applications containers. The new regime manipulates with monolithic system images formed using the instrumentation RPM-STREE

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