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nova-cloud.ai

nova-cloud.ai provides direct RTX PRO 6000, RTX 5090 and RTX 4090 GPU cloud capacity from North American data centers. Its platform offers dedicated virtual machines with per-second billing for training, inference and generative AI.

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VIABANDWIDTH

viabandwidth assessment

Our evidence-based analysis.
Direct verifiedOperator model signal

nova-cloud.ai is a direct operator with a focused GPU lineup, running its own infrastructure rather than reselling third-party capacity. Directness means fewer middlemen and clearer accountability on the performance you pay for.

Depth is limited compared to larger direct operators. Worth considering when the specific SKUs on offer match your workload exactly.

Best for: Buyers who want a direct relationship with the operator that owns the metal. Not for: Teams prioritising a marketplace's breadth of third-party supply.

Confidence: HighEvidence reviewed: 6 checks
Confirmed

Direct operator classification

nova-cloud.ai controls GPU infrastructure and sells access directly. Not a marketplace or hyperscaler resale offer.

REVIEWS

Buyer reviews

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FAQ

Frequently asked questions

Is nova-cloud.ai a direct GPU operator or a reseller?
nova-cloud.ai is classified as a direct operator. Buyers who want a direct relationship with the operator that owns the metal. Teams prioritising a marketplace's breadth of third-party supply.
What GPU models does nova-cloud.ai offer?
nova-cloud.ai lists RTXPRO6000, RTX5090, RTX4090 across its published capacity.
How much does nova-cloud.ai charge for GPU compute?
Published indicative rates span Hourly rates at $0.18 – $8.64 /hr. Final cluster pricing depends on commit length, storage and networking.
Is nova-cloud.ai's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. nova-cloud.ai has not claimed it.
OVERVIEW

Company overview

Operator class
Direct operator
GPU models tracked
RTXPRO6000, RTX5090, RTX4090
Services
Colocation, GPU compute, Bare metal
CAPACITY

GPU lineup by use case

Tracked GPU SKUs grouped by the workload they fit best.
Inference

For predictable production serving, latency targets and steady utilisation.

RTXPRO6000

QuoteClaim to publish

Best for
RTXPRO6000 workloads.

RTX5090

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Best for
RTX5090 workloads.

RTX4090

QuoteClaim to publish

Best for
RTX4090 workloads.

COMMERCIALS

Pricing

Indicative published rates. Final cluster pricing depends on commit length, storage, networking and capacity.
Hourly rates
$0.18 – $8.64 /hr

Across 19 published SKUs spanning RTXPRO6000, RTX5090, RTX4090.

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