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Red Hat AI
Red Hat Solutions

Red Hat AI

Accelerate the development and deployment of enterprise AI solutions with a trusted foundation that supports any model and any agent, running on any hardware accelerator, across the hybrid cloud. Enable reliable training, fine-tuning, and inference pipelines.

Key Features & Capabilities

AI Lifecycle Foundation

Optimize environments for model training, retrieval augmented generation (RAG), model validation, and inference hosting.

Hardware Acceleration

Direct access to hardware resources, fully supporting NVIDIA GPUs, AMD Instinct, and Intel AI accelerators.

Hybrid Portability

Execute AI workloads on public clouds, private datacenters, or resource-constrained edge sites.

Intelligent Agents

Deploy enterprise-grade AI agents, connect databases, and orchestrate automated model operations.

Applications & Use Cases

LLM Fine-Tuning & Training

Deploy specialized frameworks to process local enterprise data, customising base models securely without public cloud leaks.

Intelligent Chat Agent Hosting

Deploy interactive conversational agents, retrieval engines, and workflow executors on containerized nodes.

Technical Specifications & Business Value

Optimized Compute Utilization

Enables shared GPU access, virtual GPU partitions, and automated scheduling to maximize accelerator hardware usage.

Consistent Hybrid Run-times

Build model containers once and execute them reliably on public clouds or remote processing gateways.

Technical Enablement & Scope

  • OpenShift AI platform deployment, custom notebook configurations, and model storage integration.
  • GPU partitioning, hardware accelerator drivers setup, and virtualization configurations.
  • Inference pipelines orchestration, model API gateways, and deployment monitors.
  • DevSecOps for AI: Secure pipeline integrations, validation stages, and identity protection.

Deploy Solutions Today

Consult with our certified specialists to customize your implementation roadmap.

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