What buyers need to know
Each B300 has 288 GB HBM3e. Cloud pricing varies by region, GPU count, node design and term: compare on-demand or pilot use with a reserved 8-GPU node, and assess B200/H200 alternatives against the measured workload.
NVIDIA B300 / AUSTRALIA & APAC
NVIDIA B300 GPU Australia — Dedicated & Reserved Capacity
Request NVIDIA B300 GPUs in Australia and APAC as hourly cloud access where live capacity exists, a dedicated 8-GPU B300 node or reserved capacity on a committed term. Arvica confirms the configuration, location and complete USD pricing before activation, in a formal quote.
Check B300 availability
No payment is required to submit a request.
| Configuration | Best for | Pricing |
|---|---|---|
| 1 × B300 | Model testing and memory-intensive inference | Request availability |
| 4 × B300 | Fine-tuning and distributed workloads | Request availability |
| 8 × B300 node | Training, robotics and sustained inference | Reserved quote |
| Multi-node cluster | Frontier training and enterprise deployment | Custom proposal |
Current capacity, complete configuration and total pricing are confirmed before activation.
B300 workloads
Inference and reasoning models
Fine-tuning
Robotics and VLA models
Multimodal workloads
Simulation and synthetic data
B300 GPU configurations
Request B300 as 1, 2, 4 or 8 GPUs. Each quantity is confirmed against current capacity for the selected system and region, so a smaller allocation is not automatically available just because an 8-GPU node is.
- GPU memory: 288 GB HBM3e per B300 (nominal platform reference); usable capacity is stated in the instance specification.
- Interconnect: NVLink between GPUs, with NVSwitch inside a complete 8-GPU node. Partial allocations are confirmed with their actual NVLink domain.
- Host CPU and system RAM: sized to the workload and stated per configuration, not inferred from the GPU name.
- Local NVMe storage and shared storage: capacity, persistence and transfer costs are itemised in the quote.
- Networking: node network bandwidth and, for multi-node work, the inter-node fabric are confirmed for the design.
- Region requirements: specify Sydney, Melbourne or another required location in your RFQ. Deployment location and availability are confirmed before commitment.
B300 pricing, reserved terms and availability
Where live B300 capacity exists, on-demand access is priced per GPU-hour in USD and shown on the pricing page before you deploy. Dedicated nodes and reserved capacity are quoted as a complete configuration: GPUs, host, storage, networking, support and term.
Supported commercial terms range from hourly use through monthly, 3-, 6- and 12-month reserved terms to multi-year or custom enterprise commitments. Lead time and the deployment window depend on the confirmed system and are stated in the proposal rather than assumed from a hardware roadmap.
View live on-demand GPU prices →Reserved GPU capacity terms →
B300 deployment models
State the delivery model you need. Availability and the exact isolation model are confirmed per configuration in the proposal.
- VM allocation: 1–8 B300 GPUs on a shared host where supported, for pilots and elastic inference.
- Bare metal where supported: direct access to the host for custom runtimes and kernels.
- Dedicated 8-GPU node: a complete single-tenant B300 system reserved for one customer.
- Multi-node cluster: 32, 64, 128 or 512+ B300 GPUs with an explicit fabric, storage and operations design.
8× B300 dedicated GPU node →Enterprise GPU clusters in Australia →
Security, residency and tenancy
Single-tenant infrastructure, location requirements, the access model, support scope and any SLA are defined in writing for the confirmed configuration. Australian data-location requirements are captured in the RFQ so the proposal is designed around them.
- Tenancy: dedicated nodes are single-tenant; VM allocations state their isolation model.
- Location: compute, storage and backup locations are named in the proposal.
- Access: SSH-based access, administrative responsibilities and key management are documented for the deployment.
- SLA and support: service objectives, response expectations and escalation apply as agreed in the contract.
What will your proposal cover?
- Workload fit, GPU configuration, count, region and deployment model.
- Complete USD pricing scope for GPUs, storage, networking and applicable taxes.
- An agreed scope, duration and acceptance measures if a pilot is needed.
Bring your workload brief
Share your model or framework, GPU count, preferred location and start date. For a cluster, include storage, interconnect and tenancy requirements if known.
English and Chinese assistance · Australia/APAC business-hours support · No charge before quote acceptance · Infrastructure provider disclosed before activation
How it works
One clear path from requirement to a deployable configuration.
Submit requirements
Tell Arvica the workload, GPU count, region and start date.
Compare deployable options
Arvica confirms configuration, capacity and complete charges.
Test or deploy
Run a pilot or proceed under a reserved-capacity agreement.
FAQ
Can I reserve B300 GPUs in Australia?
Yes. Request a dedicated 8-GPU B300 node or reserved capacity with your required location, term and start date. Arvica confirms the deployable system, location and pricing in a written proposal; submitting the request does not reserve capacity by itself.
Can I request 1, 2, 4 or 8 B300 GPUs?
Yes. Each quantity is confirmed against current capacity for the selected system and region. State the workload target so the right allocation and NVLink domain can be proposed.
What is the difference between hourly and dedicated B300 capacity?
Hourly access runs on live cloud capacity billed per GPU-hour. A dedicated node is a complete single-tenant system reserved for your term, with host, storage, network and support defined in the proposal.
How much does an 8 × B300 node cost?
The complete monthly cost depends on node design, location, term, storage, network and support. Request a reserved-node quote rather than applying a single-GPU headline rate.
Can I specify Australian data residency?
Yes. Include the required city, country or site and any residency constraint in the request. Compute, storage and backup locations are confirmed in the proposal before commitment.
Is B300 better than H200?
Only when its memory, supported precision or platform design improves your measured workload. H200 can remain a sound choice for compatible Hopper deployments.
Can I start with a pilot?
Yes. Define a representative workload, duration and acceptance criteria before the pilot is quoted.
Can Arvica provide an AUD invoice?
Live on-demand billing is in USD. AUD invoicing applies only where explicitly agreed in the written proposal or an existing contract.
Buying guides and pilot worksheet
8×B300 node rental: how to compare a complete quote
Compare scope, allocation, storage, networking and pilot acceptance before committing to a B300 node. Includes a worked cost formula, not a supplier price.
Eight GPUs are not automatically eight times faster
Compare time to completion, communication behaviour and total GPU-hours before choosing a larger training configuration.
GPU pilot brief and scorecard: a practical selection worksheet
Download an editable worksheet to agree scope, compare configurations and decide whether to stop, adjust or scale. An evaluation method, not a customer case study.
Ready to scope your compute?
Share the workload and Arvica will prepare deployable options for review.