Accelerate AI initiatives, modernize data center infrastructure and support demanding technical workloads
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Build AI-ready infrastructure with Arrow.
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Organizations need infrastructure that can keep pace with evolving workloads while remaining adaptable to changing business priorities.
AMD EPYCâ„¢ 9005 and 9004 Series processors, combined with Lenovo's flexible server portfolio, provide a powerful foundation for:
Lenovo delivers the deployment flexibility organizations need across a wide range of environments, while AMD EPYC provides the performance, scalability and efficiency required for today's most demanding workloads.
Arrow helps partners translate these technologies into customer solutions through architecture guidance, technical enablement, and deployment support.
Successful AI initiatives depend on more than accelerators. They require a strong infrastructure foundation capable of supporting compute-intensive workloads, high memory demands and growing data volumes.
AMD EPYC processors provide the CPU platform that helps organizations prepare for AI while giving partners the flexibility to align infrastructure with customer goals.
Ideal for:
Key insight:
Preparing for AI starts with the right infrastructure strategy—not just the right hardware.
How Arrow helps
Our specialists work with partners to:
Engineering, research, analytics and technical computing environments require consistent performance and scalable infrastructure.
AMD EPYC processors running on Lenovo platforms provide a flexible compute foundation designed to support a broad range of technical workloads while giving partners the freedom to build solutions that fit diverse customer environments.
Ideal for:
Key insight:
The strongest HPC projects begin with the right architecture and workload planning.
How Arrow helps
Arrow enables partners to:
Not every AI deployment requires dedicated accelerators. For many inference workloads, AMD EPYC processors offer a cost-effective, operationally simpler alternative that can meet performance requirements while reducing infrastructure complexity.
Ideal for:
Key insight:
The right AI solution depends on the workload—not every inference project needs GPUs.
How Arrow helps
Arrow helps partners quickly determine whether CPU-based inference is the right fit through workload qualification, architecture guidance and technical expertise.
Determine whether the project focuses on AI training, AI inference, HPC, virtualization or infrastructure modernization.
Evaluate compute, memory, storage, networking and scalability requirements.
Review software compatibility, deployment processes, governance and ongoing support requirements.
Validate outcomes, document best practices and establish a repeatable deployment model.
Arrow helps partners move from opportunity to deployment with the expertise, resources and support needed to deliver successful AMD EPYC solutions.
Our team supports:
Through ArrowSphere and dedicated technical specialists, partners gain the tools and expertise to position Lenovo and AMD EPYC solutions across AI, HPC and infrastructure modernization opportunities.
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