Plan GPU rental for Australian and APAC AI workloads with Arvica. Compare H200, B200 and B300 options, from on-demand access where available to dedicated nodes and reserved enterprise clusters. Confirm the deployment location, capacity and complete USD quote before committing.
No payment is required to submit a request.
Arvica plans GPU compute for Australia and APAC around data residency, model memory, GPU count, runtime and contract term. Exact location, current capacity, storage, networking, GST and support are confirmed for the selected H200, B200 or B300 design in one USD quote before commitment.
| Configuration | Best for | Pricing |
|---|---|---|
| H100 / H200 | Training, fine-tuning and production inference | Request current pricing |
| B200 / B300 | Memory-intensive AI and Blackwell-ready workloads | Request availability |
| Dedicated node | Stable multi-GPU workloads | Reserved quote |
| Pilot | Validate fit before a longer term | Scope and quote required |
Current capacity, complete configuration and total pricing are confirmed before activation.
An Australian workload does not automatically mean an Australian deployment. State where data must be processed and stored, whether cross-border transfers are allowed, and the latency or connectivity your application needs. Request written confirmation for the proposed configuration.
For dedicated GPU servers or multi-node clusters, include the GPU model and quantity, memory needs, interconnect, storage, start date and term in your RFQ. Compare the complete proposal, including support and applicable charges, rather than the GPU-hour price alone.
Review network and location requirements →Scope an enterprise GPU deployment →
Start from the commercial path that matches the workload, then pick the GPU. Each path below leads to the page that confirms configuration, location and pricing for it.
Current hourly GPU prices →Reserved GPU capacity →Submit an enterprise RFQ →
Compare H200, B200 and B300 compute for Australia and APAC, then choose the commercial path that fits: on-demand instances, dedicated 8-GPU nodes, reserved capacity or a 32–512+ GPU enterprise cluster. Australian data-residency options, exact location and current capacity are confirmed for the selected design.
141 GB HBM3e Hopper GPUs for inference, fine-tuning and training
H200 GPU capacity in Australia →Blackwell GPUs for training, inference and fine-tuning
B200 GPU capacity in Australia →288 GB HBM3e Blackwell Ultra GPUs, dedicated and reserved
B300 GPU capacity in Australia →One complete single-tenant B300 system with its NVSwitch domain
8× B300 dedicated GPU node →32, 64, 128 and 512+ GPU deployments on reserved terms
Enterprise GPU clusters in Australia →One clear path from requirement to a deployable configuration.
Tell Arvica the workload, GPU count, region and start date.
Arvica confirms configuration, capacity and complete charges.
Run a pilot or proceed under a reserved-capacity agreement.
Live GPU pricing and prepaid billing are in USD. Existing AUD contracts continue to settle in AUD; GST and payment terms are confirmed before activation.
You can request Sydney, Brisbane or another Australian location. This is a procurement requirement, not confirmation of available local capacity. Arvica must confirm the actual deployment location and capacity for your configuration before commitment.
Use a pilot or flexible term for uncertain demand. Consider reserved capacity after you have a measured workload and expected utilisation.
They are itemised in the proposal where required; a GPU-hour alone is not the total deployment cost.
No. Submitting a requirement does not reserve capacity or create a payment obligation.
Share the workload and Arvica will prepare deployable options for review.
