AMD has unveiled its new Solution Blueprints within the AMD Enterprise AI Suite, a standardized, validated stack optimized for AMD Instinct™ GPUs and the ROCm™ software ecosystem. These ready-to-deploy templates combine AI models, reference code, and containerized microservices to accelerate the development of AI applications. The initiative aims to make enterprise AI deployment faster, simpler, and more open.

Each Blueprint delivers everything developers need to build and scale AI applications, from inference microservices and pre-packaged workloads to industry-standard APIs and resource management tools.

Inside the AMD Solution Blueprints

Inference microservices: Whether you’re running a community-supported open-source model or a custom-built one, AMD Solution Blueprints help you deploy and run it on your own infrastructure with minimal setup.

Reference workloads: Each Blueprint includes pre-packaged, open-source recipes for common ML tasks, ranging from model training and evaluation to retrieval-augmented generation (RAG) and advanced agentic workflows.

Optimized compute utilization: With AMD Enterprise AI Suite, compute resources are intelligently managed across users, projects, and workloads to maximize performance and minimize idle time.

Open-source modular architecture: A fully open-source platform ensures no vendor lock-in, empowering organizations to leverage global AI community innovation while maintaining complete control of their infrastructure.

Accelerated time-to-production: Built-in inferencing and training microservices, combined with a streamlined development process, minimize friction and shorten the path from prototype to production.

These Solutions Blueprints are compatible with Vultr – our cloud GPU infrastructure and AMD Instinct™ MI355X GPUs provide a globally distributed, high-performance environment for running AMD Enterprise AI workloads at scale.

Here’s what this means for innovators and enterprises:

At Vultr, we’re ready. With globally available AMD-powered cloud GPUs, we provide the ideal environment to operationalize these AMD Solution Blueprints at scale.

Faster AI deployment: AMD Enterprise AI solution blueprints can be deployed on Vultr with minimal setup, helping reduce deployment time and accelerating time to value.

Choice and flexibility: Deploy AMD-optimized workloads across clouds to support a true multicloud strategy.

Simplified operations: Validated configurations ensure consistent performance, lower integration effort, and predictable results.

Open innovation: AMD’s open ROCm platform, paired with Vultr’s high-performance, globally distributed infrastructure, enables teams to build AI applications without proprietary limitations.

As AI moves toward modular, service-based architectures, Vultr provides the ideal environment to operationalize AMD Solution Blueprints, from RAG pipelines to agentic AI at scale.

Enhanced data performance with NetApp

As part of this ecosystem, NetApp adds a robust layer of intelligent data management, helping enterprises efficiently store, access, and scale data for AI workloads. Combined with AMD AI Blueprints and Vultr’s global cloud infrastructure, NetApp enables smooth data flow and reliable performance across development, training, and inference environments.

This combination of compute, storage, and open-source software provides enterprises with a fully validated, end-to-end path for deploying production-grade AI, eliminating the integration overhead typically required to assemble these components.

Whether teams are fine-tuning models, running distributed training jobs, or scaling inference to global user bases, the joint Vultr-AMD-NetApp stack ensures data locality, throughput, and reliability remain consistent across every stage of the workflow.

For organizations modernizing legacy AI pipelines, these Blueprints provide a straightforward upgrade path, enabling them to adapt existing workloads to AMD Instinct platforms supported by standardized APIs and ROCm compatibility.

Enterprises can also integrate their existing MLOps tooling, observability stacks, and orchestration layers directly into the Blueprint architecture, preserving prior investments while accelerating new development.

Discover how Vultr Cloud GPUs with AMD Instinct™ can bring AMD Solution Blueprints to life. With global data center availability, predictable pricing, and high-performance AMD GPU instances, Vultr gives developers immediate access to the infrastructure needed to deploy these Blueprints in real-world production environments.

It’s the fastest way to operationalize AMD’s open, modular enterprise AI vision at scale. Visit our Docs to learn more.