CPU Cluster Solution
High core-count CPU clusters based on AMD EPYC and Intel Xeon. Ideal for MPI workloads, molecular dynamics and CFD simulations.
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.
Unlike GPU-centric systems, CPU clusters excel at memory-bandwidth-bound and communication-heavy simulations where thousands of cores must stay tightly synchronized. Their lower per-core cost also makes them ideal for throughput computing and large parametric studies.
Key Features
High Core Density
AMD EPYC and Intel Xeon platforms reach 96–128 cores per socket, giving every node a very high core density. This lets parallel and throughput-oriented workloads run at maximum efficiency within a compact footprint. High memory bandwidth per socket also benefits memory-bound scientific codes.
HDR/NDR InfiniBand Networking
200 Gb/s or 400 Gb/s InfiniBand connectivity minimizes inter-node latency and keeps MPI scaling efficiency high as the cluster grows. RDMA support allows fast direct memory transfers between nodes without CPU involvement. This is what allows large parallel simulations to scale across many nodes.
Parallel File System
A BeeGFS or Lustre storage tier handles the simultaneous I/O needs of hundreds of cores, far beyond what standard NFS can provide. Striping data across multiple servers and disks delivers high aggregate bandwidth and IOPS. This prevents storage from becoming the bottleneck in your simulations.
SLURM Job Scheduler
SLURM distributes resources fairly in multi-user environments, forming the backbone of production HPC operations. Priority policies, queue management and fair-share accounting ensure every team gets its share of compute time. Interactive and batch workflows are both fully supported.
Frequently Asked Questions
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.
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.
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.
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