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Computational Fluid Dynamics (CFD) is a high-performance computing workload used to model fluid flow, heat transfer, aerodynamics, and related multiphysics behaviour. Unlike conventional workloads, CFD relies on tightly coupled parallel processing across many CPU cores or nodes, demanding balanced compute, memory, networking, and storage infrastructure to deliver predictable performance.
For engineering organisations, the objective is not simply to deploy more CPU cores, but to enable faster simulation turnaround time, and drive higher infrastructure considerations for designing CFD platforms, including compute, networking, storage, deployment models, and DiGiCOR's approach to delivering balanced HPC infrastructure.
In CFD simulations, the performance of the processor is critical to achieve results efficiently by handling complex numerical calculations and parallel processing.
CFD solution heavily depends on memory bandwidth and balanced memory population. The faster available memory is used across memory channels, the higher the processor and simulation performance will be.
CFD solvers efficiently exchange data between compute nodes, maximising low-latency networking performance essential for MPI performance.
CFD generates large volumes of mesh files, checkpoints, and simulation outputs that require scalable, high-performance storage.
At DiGiCOR, compute nodes are selected according to workload profile and expected solver behaviour, not just core count. Memory is configured to sustain bandwidth and capacity requirements. Interconnect is sized to match cluster scale and communication intensity. Storage is designed to support active job data, checkpoints, results, and long-term retention without creating bottlenecks during execution.
CFD infrastructure should provide:
Modern CPU platforms have materially improved suitability for CFD and technical computing. Processor selection should be based on solver behaviour rather than core count alone. Memory bandwidth, cache capacity and NUMA configuration all contribute to simulation performance.
DiGiCOR optimises your infrastructure to offer high compute performance through:
When CFD moves beyond a single workstation or server, networking becomes part of the solver path. Tightly coupled HPC workloads require constant communication between nodes, which is why low-latency, high-throughput fabrics are central to cluster design.
DiGiCOR designs cluster networking around workload scale and operating model, including:
CFD workflows generate more than solver demand. They also produce mesh data, checkpoints, transient outputs, and simulation results that must be written, accessed, and retained efficiently. Larger clusters therefore often require more capable shared storage approaches to avoid serialization and I/O bottlenecks.
DiGiCOR provides the infrastructure layer that supports CFD data lifecycle via:
Different CFD environments have different operational requirements. DiGiCOR supports multiple deployments models to match workloads.
For the most demanding distributed solver workloads, bare metal remains the most direct way to achieve predictable performance.
Virtualised HPC is valuable when CFD is part of a broader engineering or enterprise environment. It provides stronger workload isolation, greater administrative flexibility, and easier infrastructure management while supporting shared enterprise resources.
Hyperconverged infrastructure can also have a role in CFD-adjacent environments, especially for departmental deployments, mixed workloads, test and development, or environments where simplified operations are more important than extracting every last percentage point of distributed solver performance.
The TrueNAS F-Series delivers measurable impact across government, healthcare, service providers, media creation, higher education and other enterprises that demand high-performance storage for their critical data.
The TrueNAS F-Series can be used for:
Built on the AMD EPYC™ 9005 Series platform, two server models can be customised to fit your CFD workload.
AMD EPYC™ Rack Server can be used for:
Dual AMD EPYC™ PCIe Gen5 Rack Server can be used for:
We deliver the infrastructure platform that underpins a CFD environment, including compute node design, storage architecture, networking, platform alignment, and integrated deployment.
DiGiCOR’s portfolio explicitly spans servers, GPU systems, storage, networking, licensing/software, and end-to-end infrastructure services across design, build, deployment, migration, and support.
We ensure the infrastructure layer is robust, scalable, and properly matched to the workload so that the software environment is not constrained by the underlying platform. HPC specialists design computing, networking, and storage tiers tailored to your workload.
DiGiCOR specialises in designing and delivering infrastructure for performance-sensitive, data-intensive technical workloads.
Providing a complete, fully integrated infrastructure, supporting new operational demands from day one for Tuvalu Fisheries Department.
Opting for a turnkey solution, which offers a comprehensive system seamlessly integrated into existing business processes, appeared ideal for the scenario.
Offering a three-node ASUS EPYC-based solution for seismic research that cut turnaround time materially.
Using 40Gb InfiniBand to accelerate large rendering workloads.
Explore how DiGiCOR can utilise the power of CFD to manage your workload.