Simulating on renewable-powered machines

Run Simulations

Real machines. Renewable power. Running in Australia.

Simulation
Network

Live across Australia

Public workloads running on available renewable-powered machines.

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LIVE NETWORK
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Australian-founded technology company developing a transparent, decentralized computing network powered by renewable energy.© 2026 Solar Compute Limited

Public Compute

Latest simulations

Completed public simulation workloads and their results.

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Simulation Flow

From model to result

Simulation workloads move through a controlled lifecycle that makes network activity visible while protecting sensitive data.

01

Define

Prepare the simulation type, parameters, script, and expected runtime.

02

Validate

The workload is checked against approved templates, resource limits, and guardrails.

03

Run

The simulation executes on suitable CPU or GPU infrastructure.

04

Review

Completion status, metrics, and protected results can be reviewed safely.

What You Can Simulate

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
Renewable Compute Context

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
Guardrails

Simulation workloads need controlled execution

Simulation jobs may vary widely in runtime, memory, storage, and compute requirements. Public access begins with approved templates and safe limits.

More advanced simulations 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
Start Simulation

Run a controlled simulation workload

Start with a public-safe simulation, or use the SolarCompute platform for protected workloads.