GPU-as-a-Service @ SouthernCrossAI
Powerful Australian infrastructure + simple pricing for small to hyperscale GPU workloads
What Is GPU-as-a-Service (GPUaaS)?
Our GPUaaS offering follows commercial design best-practice—allowing you to:
- Run GPUs on-demand, billed by the hour — perfect for model testing, research, or burst compute needs
- Reserve your own dedicated pods (bare-metal racks) for sustained, enterprise-scale model training or high-throughput inference
But unlike international cloud providers, your compute runs 100% within Australia, under Australian data sovereignty, with no shared tenancy unless you opt in.
SouthernCrossAI GPU Infrastructure Options
| Mode | Hardware | Best for | Approx. AUD Pricing | Reservation Term |
|---|---|---|---|---|
| On-Demand | NVIDIA A100, H100, or H200 GPUs | Short bursts, POCs, research | From AUD$5.50/hour | None (Pay-per-hour) |
| Reserved Pod | 8× GPU bare-metal rack | Sustained training/inference club | A$3.50/hour | 3–12 months |
On-demand pricing starts at ~A$5.50/hour per GPU
- Reserved Pods offer the lowest total cost of ownership, optimized for high availability and predictability.
NVIDIA GPU Options
NVIDIA A100
Ideal for deep learning training and high-performance data analytics.
- • 40GB or 80GB memory options
- • Up to 20x performance vs. previous generation
- • Multi-Instance GPU (MIG) technology
NVIDIA H100
Designed for large-scale AI and HPC workloads.
- • Up to 9x higher AI training performance
- • Up to 30x higher AI inference performance
- • 80GB HBM3 memory
NVIDIA H200
Enhanced for next-generation AI and HPC workloads.
- • 141GB HBM3e memory (almost 2x H100)
- • 4.8 TB/s memory bandwidth
- • Up to 2x LLM inference performance
Features & Capabilities
- Start in seconds via our web portal or API—spin up a GPU instance (1-8 GPUs) in under 60 seconds
- Fully isolated compute environments — private tenancy, no shared CPU/RAM overbooking
- Enterprise-grade throughput — Infiniband/NVLink clusters for scaling up to 512 GPUs per workload
- Clean-energy footprint — Efficient racks that deliver up to 10× tokens/joule compared to hyperscale clouds
Compare GPU Compute to Token Pricing
While token pricing gets you inference access for models like Gemma or Llama, GPUs offer:
- Support for custom fine-tuning workloads on your own models
- Full control of training time, batch size, and dataset locality
- The option to run RAG pipelines or private embedding workloads
How to Get Started
| Step | Action |
|---|---|
| 1 | Quiz your compute needs - Small test or full training? On-demand or Reserved? |
| 2 | Select hardware - Choose from A100, H100, or H200 NVIDIA GPUs |
| 3 | Reserve capacity or use hourly - Lock in pricing or pay per compute hour |
| 4 | Monitor usage with your dashboard - Installed, API logs, energy usage, and billing portal |
Why Choose GPUaaS from SouthernCrossAI?
- Local team — Let us work with you to help you get started
- Low latency & throughput — ideal for interactive applications or training loops
- Price simplicity — transparent hourly rates, annual-effective pricing with no hidden fees
- Token synergy — GPU compute integrates with your token subscription plan for charged inference or fine-tuning