Red Hat rolls out the AI Inference Server, which helps with LLM implementation and increases cooperation and support for the hybrid cloud in South Asia.

Red Hat has launched the AI Inference Server to expedite and simplify the deployment of LLMs across diverse cloud scenarios. Alongside integration with Red Hat OpenShift AI and Red Hat Enterprise Linux AI, the solution can operate by itself.

The server relies on the VLLM (Very Large Language Model) project made at UC Berkeley, which helps it perform better in generative AI tasks and is compatible with NVIDIA GPUs, AMD GPUs, and Google TPUs. That is how Red Hat executives say they strengthen their enduring commitment to support different hardware types and an open network of partners.

Red Hat also took the opportunity at the Red Hat Summit 2025 to say it is widening the availability of OpenShift Virtualization on AWS, Azure, Google Cloud, and Oracle Cloud. This enables the management of diverse workloads on a single platform.

In the region of South Asia, Red Hat is paying special attention to building cooperation with Indian software vendors and system integrators. Enhancing AI use and moving enterprises to the cloud are the main objectives. The AWS DSOR program from Red Hat makes it possible for customers to choose how to run their cloud applications.

Red Hat stressed its idea of an agent-based AI system and confirmed its place as a main contributor to the evolving AI technologies for businesses..