AI Model & Agent Platforms

Red Hat AI Inference

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01 / Overview

What is Red Hat AI Inference?

Red Hat AI Inference serves AI models through an enterprise inference stack based on vLLM.

Who is Red Hat AI Inference for?

Teams evaluating ai model serving and accelerator flexibility. Assess inference scaling alongside the team’s data, permissions and deployment requirements.

02 / Capabilities

Red Hat AI Inference features

The core capabilities to consider for your workflow.

  • AI model serving
  • Accelerator flexibility
  • Inference scaling
03 / Plans & costs

Red Hat AI Inference pricing

Plan availability

Check product licensing

Request current licensing for the exact product, deployment and usage scope. Confirm required platform subscriptions, optional modules, implementation and support separately; no unverified price is quoted here.

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Free access & evaluation

Confirm current trial eligibility, academic access and any included allowances for this specific product. A trial or access to another product in the vendor’s portfolio does not establish a permanent free production plan.

04 / Buying checklist

Before you choose Red Hat AI Inference

  • Confirm supported models, accelerators and deployment requirements and test actual workload latency and throughput.

05 / Comparisons

Compare Red Hat AI Inference

06 / Related software

Explore related software

07 / Questions answered

Red Hat AI Inference FAQs

Does Red Hat AI Inference have a free plan?

Confirm current trial eligibility, academic access and any included allowances for this specific product. A trial or access to another product in the vendor’s portfolio does not establish a permanent free production plan.

Who is Red Hat AI Inference for?

Teams evaluating ai model serving and accelerator flexibility. Assess inference scaling alongside the team’s data, permissions and deployment requirements.

What should I compare before buying?

Check the tier that contains your essential features, confirm plan limits and compare the total quote with your own expected usage.