Technical sector guide · Engineering foundation to virtual commissioning

HPC and Private AI for Factory Automation, Control and PLC Engineering

PLC and motion software development with automated validation, virtual commissioning, digital twins and an LLM assistant that never sees outside the plant network.

HPC does not replace deterministic PLC and motion controllers. It accelerates the engineering around them: compilation, static analysis, simulation, test generation, digital twins, evidence production and local assistance. The safe architecture keeps hard real-time execution at the machine and uses servers for non-real-time engineering and supervisory workloads.

Platform choices

X1150-C AxiGovernor is the controls-focused node for TwinCAT, ADS, virtual commissioning and private engineering AI. X1140-C AxiKeystone adds CPU/memory capacity for large build/test estates and high-fidelity simulation. X2160 AxiVector supports distributed plant/digital-twin simulation and engineering studies that demonstrate MPI or multi-node value.

Automation as code

Version PLC source, I/O configuration, motion parameters, safety interfaces, HMI symbols and deployment metadata. Beckhoff Automation Interface enables programmatic access to TwinCAT engineering objects; ADS supplies communication with TwinCAT systems. Generate projects from controlled templates, but always review and compile the resulting engineering artefacts.

CI and virtual commissioning

A pipeline can build a project, run static checks, instantiate a simulated plant, execute normal/fault sequences and archive evidence. Model sensors, actuators, timing, interlocks and operator actions at the fidelity needed for the decision. Hardware-in-the-loop follows after software-in-the-loop, with explicit network and safety boundaries.

Private engineering assistant

Index approved standards, function-block libraries, manuals and project patterns behind repository permissions. The assistant can explain code, draft tests and locate relevant documentation, but it must cite sources and cannot authorise a safety change. Keep prompts and source code on site; log versions and approvals without turning confidential content into uncontrolled telemetry.

Real-time and safety boundaries

Do not schedule plant control on a general-purpose AI/HPC server. Retain certified controllers, safety logic and motion runtimes. Use ADS/OPC UA gateways, rate limits and allowlisted commands. Separate observation from actuation; require deterministic validation and human approval before transferring generated changes to equipment.

Delivery evidence

  1. Version the engineering baseline and simulator.
  2. Build in a clean runner and archive compiler diagnostics.
  3. Run unit, integration, sequence and fault tests.
  4. Review differences against the approved machine state.
  5. Deploy through the existing commissioning authority.
  6. Capture as-built versions and rollback package.

Primary technical references

References are provided for software architecture and implementation planning. Validate the versions, licences, support matrix and regulated-use requirements applicable to the final deployment.

From technical concept to production system

Apply this technology through an Axiotech engineering work package

Axiotech can connect the compute, AI or analytics platform to the machine controls, data contracts, validation evidence and lifecycle-support model required for industrial use.

Relevant Hyperion platforms

Hyperion X1140-C

AxiKeystone

A CPU- and memory-led HPC platform for simulation, genomics, analytics, compilation and workloads with large in-memory working sets.

One 4U node; 128 AMD EPYC cores; 1.15TB ECC DDR5; one NVIDIA RTX PRO 4000 24GB; enterprise U.2 NVMe.

Hyperion X1150-C

AxiGovernor

A controls-engineering and virtual-commissioning platform for TwinCAT, PLC, motion, simulation and private engineering AI.

One 4U node; 96 AMD EPYC cores; 768GB ECC DDR5; one NVIDIA RTX PRO 5000 48GB; engineering storage and remote management.

Hyperion X2160

AxiVector

A tightly coupled two-node simulation and mathematical-computing platform for MPI, CFD, FEA and optimisation.

Two 4U nodes; 256 AMD EPYC cores; 2.3TB aggregate ECC DDR5; two 96GB GPUs; direct 100GbE RoCEv2 RDMA between nodes.

Configuration and quotation

Validate this workload on Hyperion

Final architecture and price depend on representative code and data, concurrency, storage, networking, site infrastructure, component availability and export compliance.

Request Formal Quotation