AI Inference
Submit prompts to supported models through the AI inference experience.
Explore AI inference ↗From AI inference and rendering to training, simulations and CPU jobs, explore workload pathways on SolarCompute's distributed computing network.
Six pathways into SolarCompute. Each workload has its own requirements, controls and eligible machine configurations.
Submit prompts to supported models through the AI inference experience.
Explore AI inference ↗Explore controlled training and fine-tuning workloads on approved machine configurations.
Explore training ↗Explore image generation and GPU-assisted rendering on compatible resources.
Explore rendering ↗Explore numerical, modelling and scientific compute with approved runtime requirements.
Explore simulation ↗Run supported calculations, batch processing and non-GPU tasks.
Explore CPU jobs ↗Explore approved container-based workloads with platform controls and suitable hardware.
Explore containers ↗SolarCompute's Hardware Matrix governs which workload a specific hardware configuration is approved to execute. Minimum specifications alone do not authorise a workload.
Explore a workload service, submit an eligible request and follow its progress through the supported application or dashboard.
Public demonstrations and production use may have different permissions, availability, resource limits and pricing. Refer to the individual workload page for the applicable experience.
Execution is subject to approved machine capability, network availability and workload-specific controls.
Workloads need appropriate permissions, resource limits and execution environments. Supported controls vary by service.
Only authorised workload definitions and runtimes should execute.
Runtime and capacity constraints protect network resources.
Public, private and advanced workflows have different requirements.
Track supported execution states and retrieve permitted results.
Choose a service or learn how the distributed network supports approved compute jobs.