GPU Cloud Server Pricing - Cloudoye resells A100, V100 and T4 GPU capacity with managed hosting and specialized infrastructure. Its service footprint spans cities across Europe, Asia, Africa, Australia and the Americas with Tier III, Tier IV, PCI DSS and HIPAA coverage.
Cloudoye 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
Cloudoye 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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Cloudoye 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 Cloudoye offer?
Cloudoye lists A100, V100, T4 across its published capacity.
How much does Cloudoye charge for GPU compute?
Published indicative rates span Hourly rates at $0.16 – $0.47 /hr, Monthly rates at $32 – $340 /mo. Final cluster pricing depends on commit length, storage and networking.
Is Cloudoye's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. Cloudoye has not claimed it.
OVERVIEW
Company overview
Operator class
Reseller
Operating entity
GPU Cloud Server Pricing - Cloudoye
GPU models tracked
A100, V100, T4
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.
A100
QuoteClaim to publish
VRAM 80 GBClass SXM
Best for Mature training stacks that value known performance and broad tooling support.
Inference
For predictable production serving, latency targets and steady utilisation.
V100
QuoteClaim to publish
Best for V100 workloads.
T4
QuoteClaim to publish
VRAM 16 GBClass Turing
Best for Cost-optimised inference for smaller models with predictable load.
COMMERCIALS
Pricing
Indicative published rates. Final cluster pricing depends on commit length, storage, networking and capacity.
Hourly rates
$0.16 – $0.47 /hr
Monthly rates
$32 – $340 /mo
Across 8 published SKUs spanning A100, V100, T4.
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.