aquanode.io operates a GPU marketplace for AI training and inference. Its listed supply includes H200, H100, A100, MI300X, B200, B300, L40S and consumer GPUs with usage-based pricing and pause-resume billing.
aquanode.io aggregates GPU supply from multiple underlying operators, offering breadth across hardware types and pricing tiers. Useful for buyers who value flexibility and competitive pricing over consistency in the underlying hardware or provider.
Capacity source and provenance vary by listing. Teams with strict compliance or performance requirements should verify before committing at scale.
Best for: Buyers comparing flexible third-party supply across hardware and price points. Not for: Workloads that need a consistent underlying operator and infrastructure provenance.
Confidence: MediumEvidence reviewed: 4 checks
Indicator
Marketplace classification
aquanode.io aggregates GPU capacity from multiple underlying providers through a marketplace model.
Indicator
Supply variability
Capacity source and underlying hardware vary by listing. Review individual offer terms before committing to extended runs.
REVIEWS
Buyer reviews
Moderated buyer feedback. Independent from the viabandwidth assessment above.
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Is aquanode.io a direct GPU operator or a reseller?
aquanode.io is classified as a marketplace. Buyers comparing flexible third-party supply across hardware and price points. Workloads that need a consistent underlying operator and infrastructure provenance.
What GPU models does aquanode.io offer?
aquanode.io lists RTX4090, T4, H200 and 10 more across its published capacity.
How much does aquanode.io charge for GPU compute?
Published indicative rates span Hourly rates at $0.13 – $2.60 /hr. Final cluster pricing depends on commit length, storage and networking.
Is aquanode.io's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. aquanode.io has not claimed it.
OVERVIEW
Company overview
Operator class
Marketplace
Operating entity
Aquanode - AI Cloud Platform | Save 40% on GPU Costs
GPU models tracked
RTX4090, T4, H200 and 10 more
Services
GPU compute, Managed services, Bare metal
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
QuoteClaim to publish
VRAM 141 GBClass Hopper
Best for Large-scale training where memory bandwidth decides the outcome.
A100
QuoteClaim to publish
VRAM 80 GBClass SXM
Best for Mature training stacks that value known performance and broad tooling support.
MI300X
QuoteClaim to publish
VRAM 192 GBClass AMD
Best for Training and inference for teams evaluating the AMD ecosystem.
B200
QuoteClaim to publish
VRAM 192 GBClass Blackwell
Best for Frontier-scale training and teams optimizing around the newest platform.
Inference
For predictable production serving, latency targets and steady utilisation.
RTX4090
QuoteClaim to publish
Best for RTX4090 workloads.
T4
QuoteClaim to publish
VRAM 16 GBClass Turing
Best for Cost-optimised inference for smaller models with predictable load.
A10
QuoteClaim to publish
VRAM 24 GBClass Ampere
Best for Inference and rendering for workloads that don't need A10G pricing.
L40
QuoteClaim to publish
VRAM 48 GBClass Ada
Best for Production serving for models that fit in 48 GB without SXM pricing.
COMMERCIALS
Pricing
Indicative published rates. Final cluster pricing depends on commit length, storage, networking and capacity.
Hourly rates
$0.13 – $2.60 /hr
Across 12 published SKUs spanning RTX4090, T4, H200, A10.
COMPARE
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Other marketplace operators buyers compare aquanode.io against.
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.