Product Documentation for Red Hat AI Inference Server 3.4

Version:

Early Access

3.4 Early Access (EA1) Release Notes

Overview of the new features included in the 3.4 Early Access (EA1) release
Getting started

Getting started with Red Hat AI Inference Server
Product life cycle

Understand the product life cycle to plan deployments and support applications using the product

Deploying Red Hat AI Inference Server in OpenShift Container Platform

Deploy Red Hat AI Inference Server in OpenShift Container Platform clusters that have supported AI accelerators installed
Deploying Red Hat AI Inference Server in a disconnected environment

Deploy Red Hat AI Inference Server in a disconnected environment using OpenShift Container Platform and a disconnected mirror image registry
Supported product and hardware configurations

Supported product and hardware configurations for deploying Red Hat AI software
Validated models

Red Hat AI validated models

Inference serving language models in OCI-compliant model containers

Inferencing OCI-compliant models in Red Hat AI Inference Server
Inference serving Mistral 3 models

Inference serving Mistral 3 models with Red Hat AI Inference Server
Inference serving geospatial foundation models

Inference serving geospatial foundation models with Red Hat AI Inference Server
Red Hat AI Model Optimization Toolkit

Compressing large language models with the LLM Compressor library
Extending Red Hat AI Inference Server with tool calling capabilities

Configuring tool calling and chat templates for AI Inference Server
vLLM server arguments

Server arguments for running Red Hat AI Inference Server

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