AMD Enterprise AI Documentation#

Modern enterprise AI goes beyond experimentation. To unlock the potential of AI, enterprises need the ability to run sophisticated AI solutions in production, across a range of use cases. From data exploration to production-grade inference, AMD provides the essential components to run AI use cases, efficiently, securely and at scale.

How AMD Helps Enterprises Scale AI#

AMD enables enterprises to move from experimentation to production-grade AI through industry-leading hardware, partner solutions, and composable open-source software built on Kubernetes. Adopt individual components, combine them, or integrate them with existing platforms according to your business and technical priorities:

  • Open-source components: Modular building blocks such as AMD Inference Microservices (AIMs) to streamline deployment and reduce time to production

  • Solution Blueprints: Ready-to-deploy reference applications built with AIMs for rapid demonstration and to act as starting points for development — see the Solution Blueprints Catalog

  • Reference architectures: Guidance on how components fit together on AMD infrastructure - See Reference Stacks for more information.

See also

Continue to AMD Enterprise AI Solutions to explore the technical documentation.

Enterprise AI Use Case Examples#

AMD supports the enablement of high-value enterprise AI applications, including but not limited to the examples below.

Agentic AI

Enable autonomous agents that reason, plan, and act across models and tools, increasing productivity and accelerating business outcomes. For example:

  • Deploy intelligent research and coding agents

  • Customize and enhance agentic capabilities through domain-specific knowledge and proprietary data

Explore the Solution Blueprint Catalog

Solution Blueprints Overview
AI Inference at Scale

Run production-grade inference with optimized model serving, intelligent workload orchestration, and high utilization of AMD Instinct™ GPUs and EPYC™ CPUs:

  • Scale infrastructure with dynamic resource sharing

  • Improve cost and performance management with granular visibility through GPU usage telemetry

Explore AIMs

AIMs Overview
Data Science

Support end-to-end AI lifecycle execution, moving from experimentation to production with fine-tuning and inference-ready solutions.

  • Automate optimized model deployments

Explore AMD AI Workbench

AMD AI Workbench Overview

Support#

The AMD Enterprise AI team provides expert support to ensure your success. We’re here to help you resolve any issues and answer your questions.

The contact channel for all support requests is amd-eai-support@amd.com. Please provide a detailed description of your issue when you contact us, and a member of our team will respond as soon as possible. Please be aware that, while we strive to address all inquiries in a timely manner, we cannot guarantee specific resolution times.