PAYING CUSTOMERS
Commercial & enterprise compute on SolarCompute
If you operate production workloads, require guaranteed capacity, or need support and integration, this page explains the simplest ways to engage.
What we offer
- GPU instances for inference, accelerated rendering and short fine-tuning bursts. Designed for parallel workloads and low-latency batch inference.
- CPU instances for large-batch data processing, simulations, ETL and general-purpose batch workloads.
- Developer access & onboarding containerised workload support, object storage integration and guidance to prepare checkpoint-friendly jobs. See Developer Onboarding.
- Enterprise support custom capacity, dataset placement guidance and SLA options available by commercial agreement.
Quick instance comparison
| Instance | Best fit | Typical use | Scheduling tolerance |
|---|---|---|---|
| GPU instances | Parallel/accelerated workloads | Model inference, rendering, short fine-tuning jobs | Low-latency batch and short-run jobs (minutes and bursts) |
| CPU instances | Large-batch and data pipelines | ETL, simulations, data processing, long-running batch | Higher tolerance for scheduling; suited to queued and flexible execution |
Networking & storage
We recommend designing jobs to minimise live shuffle across distant nodes. Use object storage for large datasets and stage inputs/outputs where possible. See Workloads for developer guidance.
Ready to engage?
Use the contact form to prefill a commercial enquiry email and open it in your default mail client. No backend required.
Or email directly: hello@solarcompute.net.au
Typical engagement steps
- Intro call to assess capacity and integration needs.
- Technical onboarding and test jobs (developer access).
- Commercial agreement and capacity allocation.
- Production onboarding and monitoring.
Need a developer sandbox?
Developers can follow the quick start at Developer Onboarding to prepare containerised jobs and run initial tests.
Questions?
For quick questions use hello@solarcompute.net.au or request a quote via the form above. For technical documentation, see Workloads and Developer Onboarding.