SOLAR-POWERED AI COMPUTE INFRASTRUCTURE
Turn solar generation and stored renewable energy into distributed AI compute. Build a zero-emission network from sun, storage, and compute.
Request GPU or CPU Quote Quick prefilled quote Workload Guidance
Prepare for a quote what to include
Provide these details to speed an accurate quote:
- Workload type (training, inference, rendering, batch)
- Preferred instance type or GPU model (if known) and expected concurrency
- Typical job duration and daily/weekly run-time
- Data size and transfer or storage requirements
- Desired region, availability or uptime constraints
Key services
GPU Compute for AI
Managed GPU instances optimised for training and inference. Request GPU Quote
CPU & Batch Compute
Flexible CPU-optimised instances for rendering and batch workloads. Request CPU Quote
Developer Platform & APIs
APIs and developer tools to submit jobs and integrate with pipelines. Developer docs
Machine specs (summary, human-readable) | Download machine specs (JSON)
GPU vs CPU quick guidance
A short guide to choosing the right compute for your workload.
When to choose GPU
- Deep learning training or large-scale model fine-tuning
- Model inference with high throughput or low latency needs
- Video processing, encoding and parallelisable ML workloads
When to choose CPU
- Batch jobs, data preprocessing and ETL pipelines
- Web services, compiles and general-purpose compute
- Workloads that scale horizontally with many smaller cores
Read detailed workload guidance or request developer access for API onboarding.
Workload examples & recommended compute
Large model training
Recommendation: GPU instances with high memory and compute. Typical use: distributed training and fine-tuning of deep learning models.
Inference at scale
Recommendation: GPU-backed instances for low-latency or high-throughput inference; consider batching and autoscaling.
Rendering & video processing
Recommendation: GPU-optimised nodes for parallelisable rendering and encoding workloads.
Batch ETL & data preprocessing
Recommendation: CPU instances, horizontally scaled, for large batch pipelines and ETL jobs.
Microservices & compiles
Recommendation: General-purpose CPU instances for CI, compiles, and web services.
FAQ quick answers
- How do I request a quote?
- Use the "Quick prefilled quote" link or the inline form on this page, or email hello@solarcompute.net.au with project details.
- What information should I include in a quote request?
- Provide workload type (training, inference, rendering, batch), preferred instance/GPU if known, estimated job duration and run-time, data sizes and region or availability requirements.
- How do I get developer or API access?
- Request developer access via the Developer Quickstart page: Request Developer Access.
- Where can I find pricing?
- We provide customised quotes based on workload and capacity. Contact sales (hello@solarcompute.net.au) or use the quick-quote template to start.