Aerospace programmes create demanding, interdependent workloads: aerodynamic and thermal CFD, structural and fatigue FEA, optimisation, manufacturing simulation, non-destructive inspection and large controlled evidence sets. Performance matters, but numerical traceability, configuration control and repeatability are equally important.
Hyperion platforms range from a two-node simulation system to scheduled departmental CPU facilities and four-GPU single-node AI training, allowing organisations to match architecture to named solvers, meshes, datasets and programme controls.
Aerodynamic, thermal and structural analysis
X2160 AxiVector is the focused two-node platform for MPI-enabled CFD and FEA that demonstrates useful scaling. X3140 AxiLattice supports larger queues, independent parameter studies and shared departmental use. Partition quality, memory per rank, checkpoint behaviour, solver licensing and shared-storage traffic should be measured using representative cases before the production configuration is fixed.
Design exploration and surrogate models
High-fidelity solvers can generate a controlled design space for optimisation and surrogate training. X1460 AxiForge Max supplies four 96GB professional GPUs and large host memory for accelerated modelling and generative engineering. Every surrogate needs a declared validity envelope, uncertainty measure and route back to the validated full-order solver for consequential decisions.
Inspection and manufacturing intelligence
Computer vision can assist composite, surface, weld, fastener and assembly inspection when image capture, calibration, part identity and defect labels are governed. Use shadow operation and expert review before production decisions. Measure by defect class, component, acquisition system and manufacturing condition; a single aggregate accuracy figure is not sufficient evidence.
Reproducible digital engineering
Version source, geometry, mesh, material data, solver settings, container or environment, compiler, input dataset and hardware allocation. CI should run numerical regression and scheduled performance gates. Shared systems need central identity, project quotas, signed environments, scheduler accounting and protected programme storage.
Security, export and assurance
Aerospace designs, models and high-performance components can be subject to contractual, security and export controls. Segregate projects, apply least privilege, control external access and review cross-border transfer before deployment or collaboration. Hyperion provides an on-premises foundation; the organisation remains responsible for programme-specific certification, airworthiness and regulatory evidence.
Automation, AI and machine engineering for Aerospace
Connect sector workloads to the production equipment
Develop traceable machine controls, test rigs, intelligent inspection and validated engineering workflows for demanding manufacturing and research environments.
Relevant services