CPU Cluster Solution
High core-count CPU clusters based on AMD EPYC and Intel Xeon. Ideal for MPI workloads, molecular dynamics and CFD simulations.
What is CPU Cluster Solution?
A CPU cluster is a parallel computing infrastructure built on AMD EPYC and Intel Xeon Scalable processors, designed for HPC workloads that require high core counts and low-latency interconnects. It serves a wide range of applications — from MPI-based simulations to CFD and molecular dynamics — natively. Mevasis manages enterprise-scale CPU cluster projects end-to-end, from requirements analysis and performance acceptance testing through to operational support.
A correctly sized and fine-tuned CPU cluster can sustain eighty percent of peak theoretical performance on real workloads; the key is NUMA pinning, UCX tuning and parallel file system stripe configuration.
— Mevasis HPC Engineering Team
How Does a CPU Cluster Project Progress?
Mevasis manages every CPU cluster project through a structured process from requirements analysis to operational support, validating performance with HPL and STREAM benchmarks before handover.
Requirements Analysis and Design
Your application's scaling characteristics, I/O patterns and software requirements are analyzed; processor, node count and network topology are designed as an integrated whole.
Installation and Performance Tuning
Hardware installation, SLURM configuration, InfiniBand tuning and NUMA pinning are all applied, along with every performance optimization.
Acceptance Testing and Operational Support
After pre-delivery benchmark validation, we remain with you for the life of the cluster, providing monitoring, software updates and incident response.
Frequently Asked Questions
When should this solution be chosen?
A CPU cluster should be chosen when your compute workload requires high core counts and large memory bandwidth rather than GPU acceleration. MPI-based parallel applications, CFD (computational fluid dynamics) simulations, molecular dynamics, structural mechanics analysis and large-scale data pre-processing workflows fall into this category. If your application is not suited to GPU architecture, or if the cost of porting your existing code to GPU is high, a CPU cluster most often delivers faster and more cost-effective results.
How does Mevasis deliver this solution?
Mevasis builds and manages multi-node CPU cluster infrastructure using AMD EPYC and Intel Xeon Scalable processor families. We deliver a complete HPC environment with SLURM job scheduling, InfiniBand high-speed networking and BeeGFS or Lustre parallel file system integration. Our experienced HPC engineers are with you at every stage, from infrastructure design and installation through performance tuning to operational support.
How is pricing structured?
CPU cluster pricing varies by node count, processor model, memory capacity, storage requirements and network topology. Because every project carries unique needs, we prepare a tailored quote rather than offering a standard price list. To request a quote, please fill in the form on the contact page; our HPC engineers will reach out to you shortly.