#red-hat

#red-hat

The company said the launch of Red Hat Developer Lightspeed, a portfolio of AI solutions, will equip developer teams with "intelligent, context-aware assistance" through virtual assistants. Available on the Red Hat Developer Hub, the first of these AI tools is accessible through the hub's chat interface. The company said this will help speed up non-coding-related tasks, including development of test plans, troubleshooting applications, and creating documentation. This AI assistant can be used via both publicly available and self-hosted large language models (LLMs).

Red Hat has unveiled key enhancements to its global partner program, including the full launch of the Red Hat Specialized Partner Program to improve partner engagement.

Red Hat AI Inference Server is intended to meet the demand for high-performing, responsive inference at scale while keeping resource demands low, providing a common inference layer that supports any model, running on any accelerator in any environment.

"Modern developers need to be able to move at their own pace to deliver innovative applications, but must do so without increasing friction with IT operations teams or production systems."

We have reached a crucial point for the future of open source - the approach that has been central to my entire career at the company.

The Red Hat Advanced Developer Suite introduces an integrated suite of tools, enhancing collaboration between developer and platform engineering teams for effective application development.

The new approach, which will be available with the launch of Red Hat Enterprise Linux 10, offers users preconfigured, ready-to-use images designed to handle the unique characteristics of different hyperscalers.

Red Hat previews support for MCP in Ansible Lightspeed, enabling AI agents to execute IT tasks and enhancing policy enforcement with OPA for safe automation.

Delivering AI-enabled applications is a top priority for organizations around the globe, but many IT teams already struggle with the complexities associated with hybrid cloud computing, let alone bringing these intelligent applications to life.

AI inferencing is crucial for unlocking the full potential of artificial intelligence, as it enables models to apply learned knowledge to real-world situations.