#red-hat

#red-hat

Red Hat aims to enhance AI capabilities across hybrid cloud by acquiring Neural Magic, focusing on optimizing open-source AI amid growing enterprise demands.

RHEL AI simplifies enterprise AI model development and deployment in hybrid cloud environments.

The Free Software Foundation criticized Red Hat's decision to close-source RHEL, stressing it contradicts the spirit of the GNU GPL.

Red Hat champions open enterprise AI as essential for improving business AI strategies.

Open-source AI is reshaping the industry, emphasizing practical applications over theoretical goals like AGI.

Red Hat's Konveyor AI integrates generative AI to streamline app migration to cloud-native setups.

The tool offers advanced functionalities such as static code analysis and migration intelligence.

OpenShift 4.18 enhances management of VMs and containers for greater consistency across various applications.

User-defined networks now support advanced segmentation and BGP for improved flexibility.

Live storage migration feature enables non-disruptive data movement in VMs.

Red Hat OpenShift AI introduces advanced features like model registry, data drift detection, bias detection, and LoRA capabilities for improved AI and machine learning operations.

Red Hat launched OpenShift Virtualization Engine for efficient management of virtualization workloads, responding to market shifts and customer concerns over VMware changes.

Red Hat OpenShift 4.16 enhances hybrid cloud application development and security, enabling organizations to balance modern infrastructure with legacy workloads.

Red Hat extends Lightspeed generative AI to OpenShift and RHEL for enhanced user experience and efficiency.