Accelerate AI initiatives, modernize data center infrastructure and support demanding technical workloads
With AMD EPYC™ processors on HPE platforms backed by Arrow's solution guidance, enablement expertise and deployment support.
Why AMD EPYC + HPE?
Organizations are under pressure to support AI adoption, increase infrastructure efficiency and simplify operations without introducing unnecessary complexity.
AMD EPYC 9005 and 9004 Series processors, combined with HPE's enterprise-class server portfolio, provide a powerful foundation for:
- AI-ready infrastructure planning
- High-performance computing (HPC)
- Technical and engineering workloads
- Data center modernization initiatives
- CPU-based AI inference opportunities
- Virtualization and consolidation projects
HPE brings the consistency, governance and operational standardization that enterprises require, while AMD EPYC delivers the performance, scalability and efficiency needed to support evolving workloads.
Arrow helps partners connect these capabilities to real customer outcomes through architecture guidance, enablement and execution support.
The 3 AMD EPYC opportunities for HPE partners
1. AI infrastructure foundation
Build the platform before the AI
Many organizations focus on accelerators first. In reality, successful AI deployments depend on the entire infrastructure stack working together. AMD EPYC processors provide the CPU foundation for AI-ready environments, supporting the compute, memory and I/O requirements needed for modern AI workflows.
Ideal for:
- AI readiness assessments
- Infrastructure modernization projects
- AI training and inference environments
- Data-intensive workloads
Key insight:
AI readiness is a workload, platform and operations conversation. Not simply a hardware conversation.
How Arrow helps
Our specialists work with partners to:
- Assess workload requirements
- Define baseline architectures
- Align infrastructure choices with customer objectives
- Accelerate solution validation
2. HPC and technical computing
Scale technical workloads with confidence
Engineering, scientific, analytics and technical computing environments demand predictable performance and repeatable deployment models.
AMD EPYC processors combined with HPE infrastructure provide a scalable compute foundation for organizations running demanding technical workloads.
Ideal for:
- Research environments
- Engineering simulations
- Data analytics
- Technical computing clusters
- Compute-intensive enterprise applications
Key insight:
Most HPC project risk occurs during workload assessment and architecture planning, not during procurement
How Arrow helps
Arrow enables partners to:
- Scope technical computing environments
- Validate workload requirements
- Align infrastructure with performance goals
- Reduce deployment risk
3. CPU-only AI inference
A practical alternative for the right workloads
Not every AI deployment requires accelerators. For many inference use cases, AMD EPYC processors can provide a cost-effective and operationally simpler approach when workload characteristics align with business requirements.
Ideal for:
- Edge deployments
- Cost-sensitive AI initiatives
- Existing data center environments
- Organizations seeking operational simplicity
Key insight:
Many teams over-invest in inference infrastructure when a CPU-based approach may have met performance requirements.
How Arrow helps
We help partners quickly determine whether CPU-only inference is the right fit through workload qualification and architecture guidance.
Fast-track your AMD EPYC opportunity
Arrow can help accelerate project qualification through a structured discovery process.
Step 1: Define the workload
Identify whether the environment is focused on AI training, AI inference, HPC, virtualization or modernization.
Step 2: Assess infrastructure requirements
Evaluate compute, memory, storage, networking and scalability considerations.
Step 3: Validate operational readiness
Review software readiness, deployment workflows, governance and support requirements.
Step 4: Pilot and scale
Validate outcomes, document best practices and build a repeatable deployment model.
Why partners choose Arrow
Arrow helps partners move faster from opportunity identification to solution delivery.
Our team supports:
- Architecture consultations
- AMD EPYC solution guidance
- Technical enablement
- Opportunity qualification
- Deployment planning
- Go-to-market support
Through ArrowSphere and dedicated technical resources, partners gain access to the expertise needed to confidently position AMD EPYC and HPE solutions across AI, HPC and infrastructure modernization opportunities.
Ready to start the conversation?
Whether you're exploring AI infrastructure, planning a modernization project or evaluating inference opportunities, Arrow can help identify the right AMD EPYC and HPE solution path.
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