Unleashing Enterprise AI with the AMD Enterprise AI Suite

The coming decade of AI will redefine how businesses innovate, operate, and compete. The organizations that lead will be those that act now — adopting AI strategically to deliver measurable impact. Success requires more than experimentation; it demands enterprise-ready hardware and software that scale seamlessly from pilot projects to full production while being flexible enough to quickly adopt rapidly evolving AI models and frameworks.

Key Enterprise Pain Points

Across industries, enterprises face similar barriers on the path to productive AI adoption when deploying AI and generative AI at scale:

• Converting AI Investment into ROI: organizations struggle to identify and apply AI’s potential, which results in failure to convert AI investment into measurable outcomes or increased business value.
• Scaling AI workloads: Running LLMs or multi-agent workloads in production demands high GPU utilization, distributed orchestration, and optimized performance tuning, all of which are difficult without deep hardware integration.
• Proprietary ecosystem limitations: Closed AI platforms restrict flexibility and generate infrastructure lock-in, leading to lack of control over the organization’s AI roadmap and increased business risks.
• Unpredictable costs and fragmented infrastructure: This makes it challenging to obtain and maintain resource visibility and utilization control, while idle GPUs wastes valuable resources.

To meet these challenges, AMD is introducing the AMD Enterprise AI Suite — a cohesive, modular, open-source no-cost platform enabling enterprises to move AI from experiment to impact.

Available for customers today, the Suite allows enterprises to go from bare metal compute to production-grade AI in minutes, unlocking access to next-generation AI development and innovation.

From Bare Metal to Enterprise-Ready AI Software in Minutes

The AMD Enterprise AI Suite allows customers to deploy generative AI efficiently and at scale through its four components – each designed to accelerate deployment, strengthen operations, and maximize ROI. The modular design allows customers to adopt the full Suite, or only the components they need:

• AMD Solution Blueprints: Provides prebuilt, validated designs for enterprise use cases, enabling faster project timelines, lower engineering costs, and repeatable production-ready solutions for real-world business needs.
• AMD Inference Microservices: Provides prebuilt, optimized containers for faster, more efficient deployments on AMD hardware, featuring support for open models and OpenAI-compatible APIs, along with intelligent hardware detection and tuning for maximum performance and cost efficiency.
• AMD AI Workbench: Accelerates AI development and collaboration with dynamic workspaces, prebuilt pipelines for fine-tuning foundation models, and inference deployment to streamline the journey from prototype to production.
• AMD Resource Manager: Optimizes GPU utilization and cost control with intelligent workload scheduling, quota management, distributed scheduling with Ray integration, and actionable telemetry to enhance throughput, fairness, and capacity planning across teams.

Business benefits — Measurable and Immediate

Starting from the early access release with ROCm™ 7 in September 2025, the AMD Enterprise AI Suite continues to evolve, catering to enterprise pain points in AI development and production. The Suite is designed to provide:

• Accelerated time-to-production: The Suite connects key open-source AI frameworks and generative AI models, minimizing development and deployment cycles, speeding up business value delivery and identifying opportunities for new revenue streams and business models.
• Scalable AI workloads: The Suite provides the building blocks for scaling AI solutions effectively on AMD compute platforms.
• Open and modular architecture: Avoiding vendor lock-in while benefiting from community innovation and rapid ecosystem integration.
• Predictable costs and capacity: Optimized compute utilization reduces idle GPUs and enables shared and efficient resource allocation across teams and projects.

Get Started Today

For business leaders, the question is no longer whether to invest in AI, but how to make it deliver consistently.

The AMD Enterprise AI Suite provides a pragmatic, end-to-end approach – validated blueprints, developer productivity tools, turnkey inference services, and enterprise-grade resource management – enabling AI to become a scalable competitive advantage for every enterprise.

For more information visit the AMD Enterprise AI Suite, the ROCm blog, or explore the Enterprise AI Suite developer hub for technical documentation.