Automotive engineering joins vehicle simulation, embedded and CUDA software, robotics, machine vision, control systems and high-volume manufacturing. The compute estate must serve rapid design iteration without separating product engineering from the production evidence needed to manufacture consistently.
Hyperion combines CPU/memory-led simulation, GPU training and production-intelligence designs with the Axiotech controls and integration capability required around the machine.
Vehicle and component simulation
Use X2160 AxiVector for CFD, thermal, structural, battery and other MPI-capable studies that scale beyond one node. Parameter sweeps and optimisation should be scheduled as campaigns, with licence tokens and storage treated as finite resources. Preserve solver inputs, convergence, checkpoints and numerical regression results with the engineering record.
Robot cells and virtual commissioning
X1150-C AxiGovernor supports TwinCAT engineering, ADS-connected simulation, automated builds and private engineering assistance. A virtual plant can exercise normal sequences, interlocks, faults and restarts before hardware commissioning. Hard real-time motion and certified safety remain on appropriate controllers; the server supports engineering, simulation and supervisory intelligence.
Machine vision and quality
X1250 AxiOverseer supports multi-camera inspection and low-latency production AI. Version camera calibration, lighting, product/variant, annotations and model. Test by defect class and line condition at full production rate, including stale frames, camera loss and service restart. Integrate disposition with the quality process so alerts become reviewable evidence rather than an isolated score.
Production and maintenance intelligence
Join PLC state, cycle, torque, vibration, energy, alarms, quality and maintenance outcomes using trustworthy asset and event context. Begin with transparent rules and statistical baselines. Predictive models should demonstrate earlier actionable warning, not simply fit historical failure labels. Keep an operational fallback and prevent an unavailable AI service from disrupting safe production.
Software and data lifecycle
Build CUDA, controls and analytics software in versioned environments with automated tests. Separate development, validation and operational releases; sign artefacts and retain rollback. Protect vehicle, manufacturing and supplier data with project permissions, controlled egress and auditable integrations.
Automation, AI and machine engineering for Automotive
Connect sector workloads to the production equipment
Integrate high-throughput automation, robotics, vision, traceability, OEE data and repeatable controls evidence across machines and production cells.
Relevant services