HPC in the Defense Industry: Simulation and Structural Analysis Infrastructure

HPC in the Defense Industry: Simulation and Structural Analysis Infrastructure

HPC in the Defense Industry: Simulation and Structural Analysis Infrastructure

Published
7 August, 2026
Category
Strategy

In the defense industry, completing a CFD simulation in 6 hours instead of 3 weeks is not just a time saving — it is a strategic advantage. From aerodynamic analysis to ballistic simulation, radar cross-section calculations to structural strength testing, defense industry HPC systems form the invisible backbone of modern defense engineering.

Turkey’s defense industry has increased its domestic production rate from 20% to over 80% in the last 15 years. This growth has brought massive computational demands. From UAV design to national fighter jet projects, armored vehicle ballistic testing to electronic warfare systems, military simulation clusters play a critical role in every domain. This article examines the technical and strategic dimensions of building HPC infrastructure specifically for the defense industry.

Typical HPC Workloads in the Defense Industry

Computational requirements in defense projects differ significantly from commercial sectors. Here are the four most common workload categories:

WorkloadTypical SoftwareHardware RequirementExample Use Case
CFD (Computational Fluid Dynamics)ANSYS Fluent/CFX, OpenFOAM, STAR-CCM+CPU-heavy, high core count, low-latency networkAerodynamic analysis, propulsion systems, munition aerodynamics
FEA (Finite Element Analysis)ANSYS Mechanical, Abaqus, NASTRANCPU + high memory, some solvers GPU-acceleratedStructural strength, ballistic impact, fatigue analysis
Electromagnetic SimulationANSYS HFSS, CST Studio, FEKOGPU-heavy or high-memory CPURadar cross-section (RCS), antenna design, EMC/EMI
Molecular Dynamics & MaterialsLAMMPS, GROMACS, VASPGPU-heavy (CUDA optimized)Explosive modeling, composite materials, energetic materials

Cluster design decisions differ for each workload. A CFD/FEA-heavy project will be CPU-intensive, while radar cross-section calculations and materials science require GPU clusters. A comprehensive GPU Cluster configuration can deliver 10x or greater acceleration in electromagnetic simulations.

Security Requirements and Access Control

HPC security in defense projects differs fundamentally from commercial HPC. The stakes are not just data protection but national security. Our previous article HPC Security: Cluster Infrastructure Protection Guide covered the general framework; here are the critical additional requirements specific to defense:

Air-Gapped Installation: Defense projects may require the cluster to have no network connection to the internet whatsoever. This means software updates via physical media, complete remote access shutdown, and all data transfers conducted in controlled environments.

Physical Security and Network Segmentation:

LayerSecurity Measure
PhysicalBiometric access, locked cage, 24/7 surveillance
NetworkManagement, compute and storage networks physically separated
UserTwo-factor authentication, project-based access, full audit trail
DataDisk-level encryption, secure deletion, removable media control

Turkish Regulations and Data Sovereignty: Restrictions similar to ITAR (International Traffic in Arms Regulations) and EAR (Export Administration Regulations) directly affect the procurement of hardware and software used in defense projects. Security requirements defined by Turkey’s Presidency of Defense Industries (SSB) must be considered from the very beginning of cluster design. Visit our Government & Defense page for detailed information on HPC solutions for the defense sector. For guidance on justifying HPC investment in defense projects, refer to our HPC Investment Feasibility Guide.

Cluster Architecture: Hardware Requirements for Defense Workloads

Cluster design for defense workloads divides into two main architectures based on workload profile:

CPU-Heavy Cluster (CFD/FEA Focused)

CFD and structural analysis simulations require per-core performance and low-latency inter-node communication. For such workloads:

  • Dual-socket, high-clock-speed processors (AMD EPYC 9004 or Intel Xeon 6 series)
  • 4-8 GB RAM per core
  • InfiniBand HDR/NDR (low latency is critical — CFD solvers communicate continuously between nodes)
  • See our InfiniBand Solutions page for details.

GPU-Heavy Cluster (Electromagnetic/AI Focused)

Workloads such as radar cross-section analysis, antenna design, and ML-based threat detection show dramatic acceleration on GPUs:

  • NVIDIA H100 or A100 GPUs (H100’s FP8 support is ideal for electromagnetic solvers)
  • NVLink and NVSwitch for high-bandwidth GPU-to-GPU communication
  • 80 GB HBM2e/HBM3 memory for large model sizes
  • Hybrid configuration with CPU Cluster infrastructure for baseline CPU computing

Common requirements for both architectures:

  • Parallel storage (BeeGFS or Lustre): Simulation output files easily reach TB scale
  • SLURM job scheduler: Priority project queues, resource reservation
  • Redundant power supply and UPS: For simulations lasting 72+ hours

For detailed technical explanations of these components, see our HPC Cluster Components article.

Example Scenario: Mid-Scale CFD Cluster

As a concrete reference, here is a mid-scale cluster configuration for a defense industry organization’s aerodynamic and structural analysis needs:

ComponentSpecificationQuantity
Head/Login NodeDual-socket Xeon, 256 GB RAM2 (active-standby)
CPU Compute NodeDual-socket AMD EPYC 9654 (96 cores/node), 384 GB RAM32
GPU Node (optional)4× NVIDIA H100, 512 GB RAM2
InterconnectInfiniBand NDR 400 Gb/s1 switch (fully non-blocking)
Management Network25 GbE1 switch
Parallel StorageBeeGFS, 200 TB NVMe + 1 PB HDD1 system
Job SchedulerSLURMLicensed enterprise configuration

Estimated performance: This configuration can complete an ANSYS Fluent simulation that takes 3 weeks on a single workstation in approximately 4-6 hours.

Estimated budget range: $1.2 – $1.8 million USD (including hardware, software licenses, air-gapped installation, and 3-year support).

Installation time: 10-14 weeks depending on security requirement complexity. Air-gapped installations require additional time for supply chain security and physical infrastructure preparation.

BeeGFS Parallel Storage was chosen for this example configuration due to the high throughput requirements of CFD output files.

Next Step with Mevasis

At Mevasis, we have field experience in HPC projects within the defense industry:

  • Security-focused HPC consulting: Air-gapped installation experience compliant with SSB requirements
  • Supply chain management: Consulting on procurement of hardware and software subject to export restrictions
  • Turnkey installation: Full process from site preparation to acceptance testing
  • Confidentiality and project security: Working at the confidentiality level required by defense projects

Contact us for preliminary assessment and technical consulting for your defense industry HPC project. For detailed information on hardware and installation services, visit our HPC Sales page.


Frequently Asked Questions

Can cloud HPC be used for defense projects?

Generally, no. Most defense projects do not permit cloud usage due to data sovereignty and security requirements. Air-gapped on-premise installations are the standard. For lower sensitivity projects, private cloud solutions hosted in Turkey-based data centers may be considered.

How long does it take to set up an air-gapped cluster?

10-14 weeks including security approval processes. Physical security infrastructure (cage, biometric access, surveillance) must be ready, and supply chain security checks add time compared to standard installation.

How is sensitive project data protected on the cluster?

Multi-layer security is applied: physical isolation (air-gap), disk-level encryption (LUKS/SED), project-based access control (SLURM + LDAP), full audit trail, and secure data destruction procedures. Each project runs in its own encrypted storage space.

Do foreign-origin software licenses cause issues in defense projects?

Common engineering software such as ANSYS, STAR-CCM+, and Abaqus can be used in defense projects, but export restrictions and usage terms should be reviewed on a project basis. Open-source alternatives (OpenFOAM, CalculiX, LAMMPS) are not affected by such restrictions and are increasingly preferred.

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