Simulation
Run modelling, scientific, engineering, and research workloads across transparent renewable compute infrastructure.
Simulation
Modelling, numerical, research, and engineering workloads.
CPU / GPU
Suitable for workloads that can use CPU, GPU, or mixed compute resources.
Research
Useful for students, engineers, researchers, and infrastructure projects.
Public-Safe
Workload status can be shown without exposing private inputs or outputs.
Practical modelling and scientific workloads.
Simulation workloads help model real-world systems, test assumptions, and explore engineering or scientific scenarios before physical deployment.
SolarCompute can support controlled simulation workloads that are suitable for distributed infrastructure and protected workload execution.
Example simulation tasks
- Engineering calculations
- Numerical modelling
- Energy system simulation
- Infrastructure planning
- Research experiments
- Educational modelling projects
From model to result.
Simulation workloads can move through a controlled lifecycle that makes network activity visible while protecting sensitive data.
Define
Prepare the simulation type, parameters, script, and expected runtime.
Validate
The workload is checked against approved templates, resource limits, and guardrails.
Run
The simulation executes on suitable CPU or GPU infrastructure.
Review
Completion status, metrics, and protected results can be reviewed safely.
Simulation connects naturally to energy and infrastructure.
Simulation workloads can help validate renewable infrastructure planning, thermal behaviour, energy usage, distributed systems, and compute scheduling strategies.
This makes simulation an important workload category for SolarCompute’s research and education pathway.
Potential use cases
- Renewable energy modelling
- Battery and storage studies
- Thermal and airflow analysis
- Distributed workload planning
- Digital twin experiments
- Research program validation
Simulation workloads need controlled execution.
Simulation jobs may vary widely in runtime, memory, storage, and compute requirements. Public access should begin with approved templates and safe limits.
More advanced simulations should move through authenticated platform workflows.
Suggested controls
- Approved workload templates
- Runtime and memory limits
- Artifact size limits
- Private input protection
- Public status only by default
- Authenticated access for advanced jobs
Run a controlled simulation workload.
Start with a public-safe simulation demo, or use the SolarCompute platform for protected workloads.