Run real workloads on a transparent renewable compute network.
SolarCompute lets visitors test controlled workloads across practical CPU and GPU infrastructure while seeing how jobs move through the network from posted to queued, allocated, running, and results.
Each public workload helps validate a different kind of renewable compute use case.
Start with controlled demos, then scale into production workloads
Public workloads should be safe, rate-limited, and restricted to approved templates. Production workloads can continue through the SolarCompute platform.
AI Inference
Submit a simple prompt and see it move through the public workload lifecycle.
Run AI InferenceAI Training
Test controlled training and fine-tuning style workloads on suitable machines.
View TrainingRendering
Run sample render workloads and validate GPU-assisted creative compute.
View RenderingSimulation
Run controlled modelling, numerical, or scientific sample workloads.
View SimulationCustom Containers
Bring approved Docker-based workloads through protected production controls.
View Custom JobsLet people try the network before asking them to commit.
Instead of hiding everything behind a login, SolarCompute can show visitors what is happening: workload submitted, queued, allocated, running, and completed.
This gives users confidence that the system is real, live, and transparent. It also helps hosts see demand moving through the network.
Public workload journey
- Choose a controlled workload type
- Submit a safe demo request
- Watch the workload enter the queue
- See allocation and running status
- Receive public-safe results
- Learn how renewable compute was used
Public access must be generous, but controlled
SolarCompute can give visitors access to real workloads while protecting machines, hosts, users, and the platform through API guardrails.
Approved templates
Only allow public workloads from known safe templates and container images.
Runtime limits
Restrict public demo jobs to short maximum runtimes and safe resource use.
Rate limits
Limit jobs per user, IP, browser session, and time window.
Safe results
Return only public-safe output with logs filtered for sensitive data.
Every workload should explain the purpose of the network.
After a workload completes, the user should understand they helped test a renewable compute network using existing or reused hardware and energy-backed infrastructure.
Completion message example
Your workload has completed on SolarCompute’s renewable compute network.
This job helped validate practical compute infrastructure using renewable energy-backed capacity and reused hardware where available — helping build a more transparent and efficient compute future.
Watch workloads move through SolarCompute
See public workload states, machine availability, and transparent network activity.