ENTERPRISE CAPACITY / AUSTRALIA & APAC

Enterprise GPU Clusters Australia — 32–512+ GPUs

H200, B200 and B300 dedicated 8-GPU nodes and enterprise clusters from 32 to 512+ GPUs. Structure multi-month or multi-year commitments for training and inference, subject to capacity, region and deployment confirmation.

8 GPUs32 GPUs64 GPUs128 GPUs512+ GPUs

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AUSTRALIA & APAC / 32–512+ GPUs

Dedicated nodes, reserved capacity and enterprise clusters

Arvica scopes H200, B200 and B300 infrastructure from dedicated 8-GPU nodes through 32, 64, 128 and 512+ GPU deployments. Every proposal confirms the deployable GPU system, region, tenancy, term and delivery window before commitment.

Practical starting point

Dedicated requests commonly begin with one 8-GPU node. Multi-node cluster architecture is scoped from 32 GPUs when the workload and fabric requirements justify it; smaller requirements remain valid and are reviewed separately.

Infrastructure proposal

The technical proposal defines high-speed fabric, storage, network paths, data location, access model and single-tenant requirements for the confirmed design.

Commercial and service terms

Reservation term, capacity window, support process, service objectives and any contractual SLA are agreed in writing. A public page does not reserve capacity.

Use the RFQ below for a technical and commercial review. No payment, provider provisioning or capacity commitment occurs on submission.

Bringing your own GPU servers? Arvica is planning Australian high-density, liquid-cooled GPU colocation, with expressions of interest now open.

Compare current on-demand GPU pricing, or explore Arvica's GPU cloud in Australia before committing to a dedicated or enterprise design.

PROCUREMENT FLOW

How an enterprise GPU cluster is scoped in Australia

One formal RFQ carries the whole design, so the proposal can confirm a deployable 32, 64, 128 or 512+ GPU cluster rather than a GPU count. Capacity is confirmed per request; this page does not state live stock.

  1. GPU model: H200, B200 or B300, chosen against the measured workload
  2. GPU quantity: 8 for a dedicated node; 32, 64, 128 or 512+ for a cluster
  3. Node count: complete 8-GPU systems, each with its own NVLink/NVSwitch domain
  4. Interconnect and networking: the inter-node fabric and node bandwidth
  5. Storage: local NVMe plus shared or networked storage for datasets and checkpoints
  6. Location and data residency: Sydney, Melbourne, another Australian site or an APAC region, confirmed before commitment
  7. Tenancy: single-tenant nodes and the isolation model written into the proposal
  8. Commercial term: 3, 6 or 12 months, multi-year or custom
  9. SLA and support: service objectives agreed in the contract
  10. Deployment window: lead time and start date confirmed per system
  11. Formal RFQ: submitted once, reviewed technically and commercially, answered with a written proposal

Request enterprise capacity

One submission. No payment or commitment is required to enquire, and nothing is provisioned or charged.

Capacity, pricing or enquiry follow-up: sales@arvica.ai