HPC Network Design
Network design for high-performance computing infrastructure: fat-tree topology, VLAN segmentation, and separation of management and compute networks.
In HPC clusters, the network infrastructure is the critical backbone that connects CPU and GPU power; a poorly designed network turns the entire compute investment into a bottleneck. Mevasis designs and deploys every layer of the HPC network using field-proven methods — from fat-tree topology and VLAN segmentation through InfiniBand integration to Grafana-based monitoring.
Every layer of the design is documented and validated with real traffic before production, so the fabric performs as specified. A well-built network also simplifies expansion, because new nodes can be added without redesigning the topology.
Key Features
Fat-Tree Topology
A layered fat-tree design with correct switch sizing delivers a non-blocking, full-bandwidth cluster architecture. Every node pair has enough available bandwidth that traffic patterns never become a bottleneck. This topology also simplifies fault isolation and makes horizontal scaling predictable.
VLAN Segmentation
Management, compute, storage and login networks are isolated into separate VLANs for both security and manageability. A misconfiguration or breach in one segment cannot propagate to the others. This also keeps storage traffic separate from user-facing traffic.
InfiniBand / RoCE v2
InfiniBand HDR/NDR or RoCE v2 integration provides microsecond latency and very high bandwidth for MPI and storage traffic. RDMA capabilities move data directly between node memories without CPU involvement. This is the interconnect layer that keeps parallel applications scaling.
Performance Validation
Measured bandwidth and latency values from tools such as ib_write_bw, iperf3 and nuttcp are compared against design targets. Any gap is traced and corrected before the network enters production. This validation guarantees that the fabric delivers what was promised.
Frequently Asked Questions
HPC network design should be chosen when building cluster infrastructure that scales from tens to hundreds of compute nodes, when the existing network is creating a bottleneck, or when inter-node latency is degrading application performance. In environments running parallel simulation, deep learning training, genomic analysis or CFD workloads in particular, without the correct topology and segmentation the network becomes the system's weak link.
Mevasis takes an end-to-end approach to HPC infrastructure design: from workload analysis and bandwidth calculation through topology selection, switch configuration, VLAN segmentation, InfiniBand or high-speed Ethernet integration, to the monitoring stack — all layers are implemented by our own engineers. Reference architectures and field-proven configuration templates significantly reduce deployment times.
HPC network design varies by project scale, hardware choices and integration requirements. To obtain an accurate cost estimate, we recommend filling in our request form. Our team will contact you as soon as possible and prepare a project-specific price proposal.
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