Accelerate your next infrastructure project
Built for partners moving AI and HPC projects forward
This solution path is designed for partners looking to:
- Deploy AI and HPC infrastructure faster
- Configure scalable, high-density server platforms
- Move efficiently from architecture planning to deployment
Ideal for data center integrators and infrastructure partners supporting AI, HPC and modernization initiatives.
Three ways to build with AMD EPYC and Supermicro
1. AI infrastructure foundation
Establish a strong foundation for AI deployments
AMD EPYC processors provide the compute platform for AI-ready environments where balanced performance across compute, memory and data movement is essential.
Best suited for:
Organizations establishing new AI infrastructure or expanding existing environments with a scalable platform.
Next step
Book a demo to discuss architecture requirements and identify the right starting point.
2. HPC and technical computing
Power demanding workloads at scale
Support simulation, modeling, analytics and other compute-intensive workloads with AMD EPYC-based infrastructure designed for high throughput and consistent performance.
Best suited for:
Projects requiring scalable compute resources and efficient deployment timelines.
Next step
Request enablement for solution guidance, sizing support and deployment planning. Teresa.Taccogna@arrow.com
3. CPU-only AI inference
Deliver AI inference without dedicated accelerators
For workloads where simplicity, footprint or budget are key considerations, AMD EPYC processors can provide an effective CPU-based inference solution.
Best suited for:
Edge deployments, lightweight AI inference and environments where GPU acceleration isn't required.
Next step
Contact our team for workload qualification and infrastructure sizing.
Scope your project in four steps
Arrow helps simplify the planning process by focusing on the fundamentals:
Step 1: Define the workload
Define whether your workload is focused on AI training or inference.
Step 2: Assess infrastructure requirements
Assess compute, memory, networking and storage requirements.
Step 3: Validate operational readiness
Review deployment workflows and operational readiness.
Step 4: Pilot and scale
Pilot, validate and expand using repeatable infrastructure designs.
Why Arrow
Arrow helps partners move projects from planning to production through:
Our team supports:
- Technical enablement and architecture guidance
- Support for solution design and sizing
- Streamlined procurement with ArrowSphere
- Resources that help accelerate deployment and ongoing operations
Whether you're building an AI-ready platform, expanding HPC capacity or evaluating CPU-based AI inference, Arrow provides the expertise and tools to help move your project forward.
Ready to get started?
Book a demo, request enablement or connect with an Arrow specialist to discuss your next AMD EPYC and Supermicro opportunity.
Get Started
