LLM Reference
RHEL AI

RHEL AI

Researched 60d agoPlatformTier 3

Red Hat

Hyperscaler

RHEL AI offers 4 tracked models (0 with output token pricing). This catalog covers general LLM work; open any model detail page for benchmarks, batch tiers, and migration prompts.

Covers 0 workload areas across 4 tracked models; last verified 2026-05-19.

Use it for

  • Getting oriented before committing to a specific model

Do not use it for

  • Final benchmark picks without opening the relevant model detail page
  • Strict price-per-token comparisons until output pricing is sourced

Tracked models

4

Models available through this provider

Priced output routes

0

Output pricing not yet tracked

Cheapest output

Unknown

Output pricing not yet tracked

Batch-ready models

0

No batch pricing tracked

Latest model release

2024-05-06

803d since newest release

Freshness

2026-05-19

Researched 60d ago

aging

Information

TypePlatform
TierTier 3
Models4
CompanyRed Hat
Founded1993
Raleigh, North Carolina, United States

Red Hat, a subsidiary of IBM since 2019, is a pioneering technology company that has been at the forefront of open-source software development since its founding in 1993. Known for its commitment to innovation and collaboration, Red Hat has established itself as a leader in providing enterprise-level solutions that leverage the power of open-source communities. The company's portfolio extends beyond traditional software offerings, encompassing a range of products and services that enable organizations to navigate the complexities of modern IT environments, including cloud computing and artificial intelligence. At its core, Red Hat is dedicated to connecting enterprises with cutting-edge open-source technologies, fostering a culture of transparency and meritocracy. The company's influence spans various aspects of the software stack, from operating systems and middleware to advanced cloud solutions. Red Hat's emphasis on hybrid cloud infrastructure and container technologies has positioned it as a key player in the digital transformation landscape, offering businesses the tools they need to enhance agility, efficiency, and innovation in an increasingly complex technological ecosystem.

Catalog freshness

The newest model tracked on this provider was released 2024-05-06 (803d ago).

Where this host wins

Not enough capability or benchmark coverage yet to call strengths for this provider.

Getting started

Official product, docs, and pricing links — confirm quotas and regions in the vendor docs.

Compliance notes

No verified compliance claims (SOC 2, ISO, HIPAA) tracked for this provider yet — check the vendor's trust center for current certifications.

Platform Overview

Red Hat OpenShift AI is a comprehensive platform designed for developing, deploying, and managing AI and machine learning workloads across hybrid cloud environments. It integrates essential tools like TensorFlow, PyTorch, and Jupyter, enabling seamless collaboration between data scientists and developers. The platform facilitates rapid model development, operationalizes AI/ML models using Kubernetes, and supports both small-scale experiments and large-scale production models. With advanced security measures and a cloud-native architecture, it offers flexible deployment options as either a managed service or self-managed software. A standout feature of Red Hat OpenShift AI is its support for retrieval-augmented generation (RAG), allowing users to derive AI insights from their own reference documents. The platform enhances model serving with multi-model server capabilities and distributed workloads, utilizing technologies such as KServe and Ray for efficient data processing. It emphasizes community-driven innovation through open-source principles, enabling enterprises to modernize their applications and infrastructure, and ultimately drive productivity and competitive advantage in the AI landscape.

Compare per-model pricing, input and output token costs, batch availability, and benchmark coverage.

Available Models(4)

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All models available as Serverless

Contact provider for pricing

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