01 / Infrastructure
Distributed compute
Connecting participating machines, understanding their capabilities and coordinating jobs across available resources.
SolarCompute / Research & engineering
Research that powers real infrastructure.
SolarCompute combines renewable-energy infrastructure, distributed machines and practical workload engineering. Our research is informed by a live compute network and applications undergoing alpha testing.
Research foundations
Built around three connected systems.
Our work brings together compute hardware, workload software and energy-aware infrastructure. Each area is tested against the practical demands of operating a distributed network.
02 / Software
Workload execution
Submitting, validating, assigning, executing and returning supported workloads through controlled software paths.
03 / Energy
Renewable-first operations
Exploring how solar generation, local energy use and machine activity can inform future compute operations.
Implemented in the network
Engineering beyond the concept stage.
The following capabilities form part of SolarCompute's implemented platform. Continued testing and refinement remain necessary before broader production-scale claims can be made.
Implemented
Connected machines
Participating nodes communicate with central platform services and report machine status.
Implemented
Workload lifecycle
Supported jobs can move through submission, scheduling, execution and result or log delivery.
Implemented
Hardware Matrix
Hardware discovery and approved configuration matching help determine which workloads a machine is authorised to run.
Implemented
Machine agents
Local agents connect hardware to the network, report telemetry and carry out assigned supported work.
Implemented
Network observability
Operational status, job outcomes and machine telemetry provide evidence for platform refinement.
Implemented
Application integration
Deployed applications provide real user-facing paths into the network during the alpha-testing phase.
Active research & validation
Testing what comes next.
Current work focuses on reliability, scheduling, machine compatibility and the experience of running workloads across distributed infrastructure.
Alpha / Refinement
Application workflows
Validating supported workload journeys, execution feedback and delivery of results across deployed applications.
Ongoing development
Scheduling & availability
Improving allocation, queue behaviour and continuity when participating machines are unavailable or busy.
Ongoing development
Reliability & safety
Strengthening telemetry, workload controls, error handling and privacy-conscious public visibility.
Research method
Evidence before claims.
Research moves through identifiable stages. A successful demonstration is not automatically a fully validated or commercially scaled service.
01 / Explore
Define the technical question and identify feasible approaches.
02 / Prototype
Build controlled implementations and capture early results.
03 / Alpha test
Run supported scenarios, inspect telemetry and resolve failures.
04 / Validate
Assess repeatability, reliability and suitability for wider use.
Research-stage descriptions are not guarantees of future features, availability, performance or commercial outcomes.
Longer-term direction
Compute that works with energy.
Future research includes renewable-aware workload scheduling, better use of available local generation, resource efficiency and expansion of distributed compute capacity.
These are development directions rather than claims that automated energy-aware orchestration is already operating at scale.
Collaboration
Help shape the next stage.
SolarCompute welcomes conversations with universities, researchers, engineers, energy participants and infrastructure partners interested in practical distributed computing.