AMD EPYC

AMD EPYC™ vs Arm: A Comparative Look

28 August 2025 ·Blog ·DiGiCOR

In today’s fast-paced digital landscape, IT infrastructure is the engine driving modern business innovation.
To maintain a competitive edge, many organisations are adopting
hybrid cloud and multi-cloud architectures to optimise performance, security, and cost-efficiency.

But not all processors are equally suited to this environment. While Arm-based cloud instances have gained attention, performance, compatibility, and portability remain critical factors for long-term scalability.

AMD EPYC™ processors, built on the trusted x86 architecture, are engineered to bridge on-premises and cloud workloads seamlessly, enabling consistent performance, workload flexibility, and efficient cloud workload optimisation without the operational compromises often associated with mixed CPU architectures.

What Makes AMD EPYC™ Processors Special?

AMD EPYC processors are engineered for high-performance computing, energy efficiency, and maximum compatibility across the global x86 software ecosystem. 

From on-premises data centres to major public clouds like AWS, Azure, and Google Cloud, AMD EPYC CPUs deliver:

  • Record-breaking server performance benchmarks across diverse workloads
  • Lower total cost per task through faster workload completion compared to many Arm-based instances
  • Multi-cloud compatibility for greater portability and easier workload migration
  • Energy efficiency insights that help optimise operational costs and sustainability metrics 

Phoronix benchmark results show that 4th Gen AMD EPYC 9004 CPU-powered AWS R7a instances deliver 25% greater performance and up to 75% better price/performance than AWS Graviton4 R8g Arm-based instances across 48 real-world cloud benchmarks (geomean).

Key Advantages of AMD EPYC over Arm

Factor AMD EPYC™ CPUs (x86) Arm-based CPUs
Performance Up to 25% better overall performance across 48 cloud benchmarks Slower on general computing workloads
Price

Up to 75% better price or performance

May cost more per completed workload despite lower hourly rates
Energy Efficiency

3.3x more operations per watt (44,168 ops/watt)

Lower throughput per watt, potentially longer runtimes
Compatibility

Fully compatible with trillions of lines of existing x86 software

Requires recompiling, testing, and debugging
Multi-Cloud Portability Same architecture across On-prem, AWS, Azure, GCP Custom Arm chips differ between vendors

Use Cases: Where AMD EPYC Makes the Difference

  1. Enterprise Hybrid IT - Migrate workloads seamlessly between on-prem and cloud without re-engineering software.
  2. High-Performance Data Analytics - Faster processing for large-scale datasets, financial modelling, and simulations. 
  3. Virtualisation & VDI - Higher VM density and smoother performance for enterprise remote work setups. 
  4. AI & Machine Learning Workloads - Leverage high core counts and advanced instruction sets for training and inference. 
  5. Energy-Conscious Data Centres - Maximise throughput while reducing energy costs and carbon footprint.

 AMD EPYC 9965 CPUs deliver 44,168 operations per watt, compared to 13,218 operations per watt for NVIDIA Grace Superchip, delivering 3.3x more performance per watt.

AMD EPYC™ vs Arm in Hybrid & Multi-Cloud

  1. Performance that saves money - Hourly rates can be misleading; slower Arm completion times may drive up total costs. EPYC's faster execution improves cloud workload optimisation.
  2. Energy efficiency that's real - Real-world workloads show AMD EPYC CPUs' ability to deliver more work per watt, reducing power draw and runtime for cloud and on-premises workloads. 
  3. x86 Compatibility for portability - Modern business software is built on trillions of lines of x86 code. Avoid costly application rework by keeping your architecture aligned with the global x86 standard. 
  4. Seamless Multi-Cloud - Arm instances from AWS, Azure, Google, and NVIDIA are incompatible with each other, and with x86. AMD EPYC ensures one common architecture across all major cloud providers. 
  5. Cloud Repatriation flexibility - According to the Flexera 2025 State of the Cloud Report, over 20% of workloads placed in the cloud have been brought back on-premises. Keeping a consistent x86 architecture with AMD EPYC simplifies these moves. 

2025 Cloud Security Report by Cybersecurity Insiders and Fortinet - 82% of organisations use hybrid or multi-cloud environments, compared to 18% using single-cloud setups, further emphasising the need for compatible, portable IT infrastructure. 

The DiGiCOR Difference

At DiGiCOR, we go beyond hardware sales to deliver tailored hybrid and multi-cloud server solutions optimised for your workloads.  

We help you cut through the complexity of platform choices, whether you're considering Intel® Xeon®, AMD EPYC™, NVIDIA GPUs, Arm-based solutions, or custom hybrid deployments.

Unbiased, vendor-neutral guidance tailored to your workload requirements

Workload-optimised design spanning AI, HPC, storage, and edge computing

Compliant sourcing and deployment support, from assembly to rollout

Reliable hardware engineered for performance, scalability, and maintainability

Ready to Optimise? Design Your AMD EPYC™ Hybrid Cloud Solution Today

Rely on Proven Leadership

Over five generations, AMD EPYC CPUs' raw performance has improved by 11.3x and performance per watt has increased by 4.1x. Combined with unmatched x86 compatibility and ecosystem support, AMD EPYC delivers the flexibility, efficiency, and performance IT leaders can trust. 

Whether on-premises, in the cloud, or across multiple clouds, AMD EPYC™ processors deliver the flexibility and performance you need to keep your business moving forward.

Contact DiGiCOR today for a custom AMD EPYC™ solution tailored to your hybrid and multi-cloud needs, and start achieving higher performance, lower costs, and greater flexibility.

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