NVIDIA B300 default
Blackwell Ultra silicon, dedicated to your workload.
Sovereign AI
GPU compute for the AI era.
Dedicated NVIDIA B300 silicon on Australian infrastructure. Scale from a single GPU to entire nodes on an 800 Gbit reference-architecture network.
100% Australian & Compliant by Design
ISO 27001Tier 3+ Australian data centresCarrier neutral
What it is Reserved GPU Compute.
Reserved GPU Compute.
Run your AI workloads in Australia.
Reserved sovereign capacity on the latest Blackwell Ultra silicon. Use it for fine-tunes, batch inference, vision and large-context workloads — with the fabric bandwidth to keep the accelerators fed.
Reservable GPU clusters
Amaze offers five reservable NVIDIA B300 (Blackwell Ultra) clusters in Sydney, from 8 to 1,024 GPUs each, from $5.00 per GPU-hour on 1 to 5 year terms, with the first cluster ready for service immediately.
| GPU model | Scale | Location | GPU memory | Cluster memory | Networking | Price and Term | Ready For Service | |
|---|---|---|---|---|---|---|---|---|
| NVIDIA B300 | 1,024 GPUs 128 nodes | Sydney, Australia | 288GB | 288TB | NVIDIA RA 800Gbps | From $5.00 / Hour 30% Prepayment 5 Years | Feb 2027 | Contact Sales → |
| NVIDIA B300 | 1,024 GPUs 128 nodes | Sydney, Australia | 288GB | 288TB | NVIDIA RA 800Gbps | From $5.00 / Hour 30% Prepayment 5 Years | Feb 2027 | Contact Sales → |
| NVIDIA B300 | 128 GPUs 16 nodes | Sydney, Australia | 288GB | 36TB | NVIDIA RA 800Gbps | From $6.80 / Hour 30% Prepayment 3 Years | Nov 2026 | Contact Sales → |
| NVIDIA B300 | 128 GPUs 16 nodes | Sydney, Australia | 288GB | 36TB | NVIDIA RA 800Gbps | From $6.80 / Hour 30% Prepayment 3 Years | Dec 2026 | Contact Sales → |
| NVIDIA B300 | 8 GPUs 1 node | Sydney, Australia | 288GB | 2.3TB | NVIDIA RA 800Gbps | From $7.50 / Hour 20% Prepayment 1 Year | Immediate | Contact Sales → |
All prices listed in USD. AUD pricing provided on quote.
Prices are indicative starting figures. Quotes are contract-term, memory-configuration and payment-structure specific. Speak to our solution architects to create a tailored quote based on your requirements.
Why Amaze for GPU
Dedicated B300 silicon. Reference-architecture fabric.
No noisy neighbours. No time-sharing. Just reserved GPU capacity on the latest Blackwell Ultra silicon, connected on an 800 Gbit reference-architecture network, with low-latency access to Australian data.
Sovereign by default
Compute and storage in ap-syd-2.
Single-GPU to full node
Scale from one GPU to entire nodes on the same reservation.
800 Gbit reference network
Reference-architecture fabric between accelerators.
Enterprise grade network performance
Ready for Service
Reserved GPU capacity
Near-immediate delivery and availability.
Tier 3
Australian data centres
Equinix carrier-neutral facilities.
40 Gbps
Transit per region
Carrier-grade Australian backbone.
< 15 min
P1 incident response
Australian-based on-call, 24×7.
Built on cutting-edge silicon
Trillion-parameter model ready. Sovereign by default.
Every GPU runs on Australian-controlled NVIDIA silicon under Fortinet security, ready for the AI workloads of today and tomorrow.
Catalogue
Run any open-weight model, in Australia.
All major LLM families, dozens of sizes, one Australian sovereign compute engine. Pick the model, call the endpoint, ship the feature.
Qwen (Alibaba)
DeepSeek
Google · Gemma
Mistral AI
Kimi (Moonshot)
Z.ai · GLM
Microsoft · Phi
Reserve GPUs for up to 5 years for lower cost-per-hour.
Five things make Amaze reserved GPU compute feel different from a hyperscaler region in Sydney.
Dedicated by default
100% allocated NVIDIA B300 silicon to your workload. No oversubscription, no shared kernels, no surprise contention.
Single GPU to full node
Reserve one GPU or an entire node — scale up on the same reservation without rearchitecting. Multi-node training available when the model demands it.
800 Gbit reference-architecture network
Reference-architecture fabric between accelerators — the interconnect bandwidth to keep B300s fed on multi-GPU and multi-node workloads.
Hybrid by design
Integrate with on-prem or hyperscaler environments via IP Transit and VPC. Move inference and training between sovereign and hyperscaler tenancies without rewriting the integration.
Onshore data for open-source models, end-to-end
Weights, checkpoints, datasets, logs and intermediate artefacts all stay in Australian regions. The full open-source AI lifecycle, under Australian law.
Need reserved clusters?
Learn more about GPU Clusters.
When the workload demands multi-node training, sustained fine-tunes or a compliance-bound production endpoint, GPU Clusters gives you reserved silicon at cluster scale with the same API surface.
Australian infrastructure built with leading global technology
GPU Compute, frequently asked questions
What GPU silicon do you run?
NVIDIA B300 (Blackwell Ultra). Every reservable GPU on Amaze is B300, hosted in ap-syd-2. Each GPU is dedicated to your reservation, no time-sharing across tenants.
Where is my data stored?
100% in Australian Tier 3+ data centres. Sydney (ap-syd-2). No offshore data path.
What about multi-node training?
Reservations scale from a single GPU to entire nodes, connected on an 800 Gbit reference-architecture network. Larger multi-node clusters are also available through GPU & CPU Clusters under HPC — same silicon, same fabric class.
How does the 30% prepayment work?
Reserved GPU cluster contracts of 3 years or longer carry a 30% upfront prepayment against the total contract value. The 20% variant on the single-node option reflects its shorter 1-year term. Prepaid amounts draw down against monthly usage; the balance is invoiced through the term in AUD equivalent.
Can I reserve capacity before the ready-for-service date?
Yes. Every cluster in the inventory is booked against a specific ID (e.g. AU-SYD-B300-01) with an agreed ready-for-service date. Signing before RFS locks the price, term and footprint — billing begins when the cluster is delivered on the RFS date.
Is the capacity uncontended and dedicated?
Yes. Each reservable cluster is a fully dedicated allocation on NVIDIA B300 silicon — no shared kernels, no oversubscription, no time-sharing across tenants. The GPUs in your reservation only ever run your workload.
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Reserve sovereign GPU capacity in minutes.
Talk to an Australian solution architect about the workload, the silicon, and the contract terms.