Top 10 Cloud GPU Providers for AI and Deep Learning in Australia... resells GPU compute through cloud instances and managed infrastructure. Its listed inventory includes H200, H100, A100, L40S, B200 and MI300X systems with SOC 2, ISO 27001, HIPAA and PCI DSS coverage.
Dataoorts sources GPU capacity from Site mentions AWS infrastructure and resells it with a managed layer on top. This model can simplify the buying process for teams that prefer not to deal with the underlying provider directly.
There is a margin built in and transparency over where the hardware runs is limited. Compare against the underlying provider before committing at scale.
Best for: Teams that value managed sourcing over dealing with the underlying operator directly. Not for: Buyers who require direct-to-metal accountability from the infrastructure owner.
Confidence: MediumEvidence reviewed: 3 checks
Indicator
Reseller classification
Dataoorts sources capacity from Site mentions AWS infrastructure and resells access with a managed layer.
Indicator
Provenance
Infrastructure is not independently operated. Buyers requiring direct-operator guarantees should compare against the source provider.
REVIEWS
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Dataoorts is classified as a reseller. Teams that value managed sourcing over dealing with the underlying operator directly. Buyers who require direct-to-metal accountability from the infrastructure owner.
What GPU models does Dataoorts offer?
Dataoorts lists H200, P100, A40 and 17 more across its published capacity.
How much does Dataoorts charge for GPU compute?
Published indicative rates span Hourly rates at $0.17 – $33.20 /hr, Monthly rates at $1,511 – $3,022 /mo. Final cluster pricing depends on commit length, storage and networking.
Is Dataoorts's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. Dataoorts has not claimed it.
OVERVIEW
Company overview
Operator class
Reseller
Operating entity
Top 10 Cloud GPU Providers for AI and Deep Learning in Australia...
GPU models tracked
H200, P100, A40 and 17 more
Services
Colocation, GPU compute, Managed services and 1 more
CAPACITY
GPU lineup by use case
Tracked GPU SKUs grouped by the workload they fit best.
Training
For multi-node runs where interconnect and cluster availability decide the outcome.
H200
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VRAM 141 GBClass Hopper
Best for Large-scale training where memory bandwidth decides the outcome.
A100
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VRAM 80 GBClass SXM
Best for Mature training stacks that value known performance and broad tooling support.
MI300X
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VRAM 192 GBClass AMD
Best for Training and inference for teams evaluating the AMD ecosystem.
GB200
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VRAM 192 GBClass Blackwell
Best for Frontier-scale training and the highest-throughput inference workloads.
Inference
For predictable production serving, latency targets and steady utilisation.
P100
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Best for P100 workloads.
P40
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Best for P40 workloads.
RTX3090
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Best for RTX3090 workloads.
B100
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Best for B100 workloads.
Fine-tuning
For smaller adaptation jobs, evaluation loops and budget-controlled development.
A40
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VRAM 48 GBClass Ampere
Best for LoRA fine-tuning, evaluation and teams watching spend closely.
RTXA6000
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VRAM 48 GBClass Ampere
Best for Development and fine-tuning with 48 GB of memory at workstation pricing.
COMMERCIALS
Pricing
Indicative published rates. Final cluster pricing depends on commit length, storage, networking and capacity.
Hourly rates
$0.17 – $33.20 /hr
Monthly rates
$1,511 – $3,022 /mo
Across 76 published SKUs spanning H200, P100, A40, P40.
COMPARE
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Profile pages, buyer guides and model explainers stay open. Vendor packages cover what shows on this profile. Verification stays independent and is never for sale.