AI & Compute Network
Run approved computing workloads on compatible machines connected to the SolarCompute network.
- AI inference and model training
- Image generation and rendering
- Simulation and CPU processing
- Approved container workloads
SolarCompute connects renewable-powered machines to deliver AI and computing workloads today, while developing infrastructure for websites, domains, virtual servers and applications.
SolarCompute's network is built around connected computing machines. The existing compute platform executes approved workloads, while future hosting infrastructure is being developed for services requiring persistent availability.
Run approved computing workloads on compatible machines connected to the SolarCompute network.
Extending the renewable-powered model toward persistent website, server and application infrastructure.
SolarCompute's development targets for network scale and processing capacity. These are planned milestones, not current live network statistics.
Network capacity target
Processing milestone target
Target GPU resources
Target CPU resources
A workload is submitted through the platform.
The workload waits for approved compatible capacity.
The scheduler selects a suitable available machine.
The workload executes and returns its result.
The SolarCompute model brings together renewable electricity, battery storage, connected machines and workload coordination. Future persistent hosting will require additional engineering for reliability, networking, storage, isolation and recovery.
Network reporting should show useful operational information without exposing private machine addresses, customer data, host identities, wallet details or internal security mechanisms.
Hosting services will require validated resource reservations, secure isolation, reliable connectivity, durable storage, monitoring and recovery before commercial availability.
A public activity feed is shown where the network API supplies suitable events.
Waiting for the public feed.