The Journey Begins: AMD, SUSE and Rancher Government Solutions (RGS) Team Up on Initial Validation of Enterprise AI Blueprints

Artificial intelligence (AI) is rapidly moving from experimentation to production. As organizations deploy AI across mission-critical business processes, they are looking beyond model performance to solve broader infrastructure challenges. They need platforms that are secure, scalable, open, and flexible to support enterprise and sovereign AI requirements.

AMD and SUSE are partnering to meet that need starting with the validation of AMD Enterprise AI Solution Blueprints and AMD Inference Microservices on SUSE AI Factory.

Together, AMD and SUSE provide an open, production-ready AI platform that spans compute infrastructure, enterprise Linux, Kubernetes, and AI software.  AMD and RGS are working together to design a fully secure and hardened version of that Kubernetes platform to serve the U.S. Government and Allied partners unique AI requirements. The goal of this collaboration is to enable organizations to deploy AI with confidence while maintaining control over their infrastructure, data, and models.

Open Source: The Foundation for Enterprise AI

The pace of AI innovation is driven largely by open-source technologies and collaborative development, allowing hardware vendors, software providers, and developers to innovate together. For enterprises making long-term infrastructure investments, this open ecosystem delivers critical confidence: freedom of choice without becoming “locked in” to a proprietary technology.

AMD and SUSE share a commitment to open standards. This approach provides the flexibility to choose the hardware, software, models, and deployment architectures that best meet specific operational and regulatory requirements. Organizations have vendor choice to deploy seamlessly across on-premises environments, hybrid infrastructure, sovereign clouds, or traditional data centers.

A Solid Foundation Built for Private Enterprise AI

Successful Private Enterprise AI deployments require more than powerful hardware; they demand a complete, integrated infrastructure stack that simplifies operations. To meet this need, SUSE Linux Enterprise Server, SUSE Rancher Prime, RGS's Carbide platform, and SUSE AI Factory are fully supported on AMD EPYC™ processors and AMD Instinct™ GPUs.

By combining high-performance acceleration from the AMD Instinct™ MI350 Series with SUSE’s enterprise-grade software, organizations gain a production-ready foundation designed for the most demanding AI workloads. This integrated solution delivers:

• Optimized Compute with Linux®: Enterprise Linux tailored specifically for AMD platforms.
• Scalable Orchestration: Production-grade Kubernetes management for containerized AI workloads.
• Operational Simplicity and Stability: Simplified management and long-term platform stability across distributed environments.
• Enterprise-Grade Security: Robust security and lifecycle management with full enterprise support for mission-critical deployments.

The result is a reliable, open infrastructure that helps organizations confidently accelerate generative AI, retrieval-augmented generation (RAG), and intelligent assistants from pilot to production.
 

AMD Inference Microservices and Solution Blueprints Validation on SUSE AI Factory with AMD Instinct™ MI350P

Modern AI applications are increasingly deployed as containerized workloads running on Kubernetes. AMD Enterprise AI software natively supports SUSE’s RKE2 Kubernetes distribution, allowing customers to deploy, manage, and scale AI applications using familiar cloud-native tools and open-source technologies.

Taking this validation a step further, AMD and SUSE recently initiated testing of AMD Inference Microservices and four of the AMD core enterprise solution blueprints on SUSE AI Factory powered by the new AMD Instinct™ MI350P accelerators. The four blueprints include:

• Agentic RAG: For advanced, autonomous data retrieval and synthesis.
• MRI analysis: Driving intelligence and efficiency in healthcare workflows.
• FinTech Onboarding: Streamlining secured, compliant digital onboarding processes.
• Telecom Assistant: Enhancing customer support and network operations.

By using these solution blueprints as a foundation for AI initiatives, customers can accelerate development while knowing their workloads are running on SUSE AI Factory, a Private Enterprise AI solution backed by production-grade infrastructure and enterprise support.

Sovereign AI and Strategic Control Across Every Deployment Model

Enterprise AI is not one-size-fits-all, particularly for governments and highly regulated industries facing unique deployment requirements. Data sovereignty, national security, regulatory compliance, and infrastructure ownership often require AI systems to remain under local control rather than relying on public cloud services. Open platforms are crucial in these environments because they provide the transparency, portability, and customer ownership needed to maintain security capabilities and operational control.

To support these demanding environments, AMD and RGS are also collaborating on AMD Instinct™ MI355X-based AI infrastructure designed for government, research, and high-performance computing. Whether organizations deploy entirely on-premises, leverage sovereign clouds, or adopt hybrid architectures, the AMD, SUSE and RGS collaboration gives customers the strategic flexibility to choose the model that best aligns with their regulatory needs while maintaining control of their infrastructure, data, and AI models.

Accelerating the Future of Open AI: More to Come

The partnership between AMD and SUSE reflects a shared vision for enterprise AI built on openness, performance, and customer choice.

By combining AMD leadership in AI compute—including AMD EPYC™ processors and AMD Instinct™ accelerators—with SUSE AI Factory, organizations gain a powerful platform for building Private Enterprise AI.  This marks the start of a deep collaboration between AMD and SUSE to break down deployment barriers and accelerate open enterprise AI innovation.