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Australia’s electric vehicle (EV) industry is at a critical inflection point. With pressure to electrify, innovate locally, and reduce time-to-market, every engineering milestone—from design to production—relies on one essential enabler: high-performance, scalable, and workflow-specific IT infrastructure.
Yet many Australian EV innovators are still building game-changing vehicles on outdated compute foundations. That’s where DiGiCOR comes in.
But here’s the truth:
Whether you're running CFD on a new chassis design, simulating powertrain responses, or stress testing battery cells—every second counts. Yet many teams still rely on outdated workstations, generic cloud solutions, or cobbled-together test environments.
At DiGiCOR, we work hand-in-hand with Australian EV manufacturers to remove these technical constraints—so your engineers can focus on engineering, not troubleshooting.
EV development is not a single-process journey. It’s a continuous pipeline—from early-stage CAD to physics-based simulation, autonomous system validation, and final production.
That’s why DiGiCOR doesn’t offer one-size-fits-all systems. We provide an integrated technology stack, engineered specifically for each stage of the EV lifecycle:
Designers and engineers need responsive, graphics-optimised workstations to handle CAD, digital twin modelling, and embedded design software.
DiGiCOR provides professional-grade workstations powered by NVIDIA RTX, AMD Radeon Pro, and Intel Xeon platforms—pre-configured for applications like SolidWorks, CATIA, and Siemens NX.
Simulation workloads such as crash testing (FEA), fluid dynamics (CFD), and electromagnetic validation are resource-intensive.
Our GPU-accelerated HPC clusters dramatically reduce simulation runtimes, enabling engineers to iterate faster on platforms like ANSYS, Altair, and Siemens Simcenter.
Field testing requires rugged, decentralised compute that can collect, analyse, and infer insights from real-time data—especially for autonomous systems and BMS performance.
DiGiCOR offers industrial-grade edge servers and rugged systems that support on-vehicle AI, CAN-bus interfacing, and telemetry processing at the edge.
For testing embedded AI models in real-world environments—such as vision systems, ADAS, and route learning—developers need powerful but compact inferencing platforms.
We integrate NVIDIA Jetson-based devices that support TensorRT, ROS2, and custom inference pipelines for low-latency decision making on the move.
As vehicle concepts move toward manufacturing, the need for reliable, secure, and scalable infrastructure becomes critical for MES integration, QA analysis, and ongoing digital twin management.
Our on-prem and hybrid infrastructure options include storage clusters, factory-hardened compute, and secure data logging systems designed for industrial automation.
EV development in Australia faces unique hurdles: distance from global hubs, tight project budgets, and a rapidly shifting regulatory landscape.
You need a partner that not only understands the tech—but the context.
With DiGiCOR, you get:
Unlike generic system providers, DiGiCOR works with Australian automotive and EV companies to build fit-for-purpose infrastructure aligned to their actual workflows. We don’t push brands—we deliver outcomes.
Australia’s transition to clean mobility depends on innovators like you. But to lead, you need more than bold ideas—you need the technical foundation to turn them into reality.
We’re not just a vendor. We’re your engineering acceleration partner.
"If your IT isn’t evolving as fast as your vehicles—you’re driving with the brakes on."
Let’s remove them.
Let’s build the next era of Australian EVs—together.