W3Cloud.io- GPU Cloud: GPU Instances On Demand resells RTX 3090 GPU capacity from Barcelona and Madrid. Its cloud servers support AI training, machine learning, data analysis, video processing and scientific simulation with monthly pricing.
☆ Shortlist
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W3Cloud.io sources GPU capacity from Amazon AWS 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
W3Cloud.io sources capacity from Amazon AWS 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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Is W3Cloud.io a direct GPU operator or a reseller?
W3Cloud.io 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 W3Cloud.io offer?
W3Cloud.io lists RTX3090, RTXA5000 across its published capacity.
How much does W3Cloud.io charge for GPU compute?
Published indicative rates span Monthly rates at $68 – $4,199 /mo. Final cluster pricing depends on commit length, storage and networking.
Is W3Cloud.io's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. W3Cloud.io has not claimed it.
OVERVIEW
Company overview
Operator class
Reseller
Operating entity
W3Cloud.io- GPU Cloud: GPU Instances On Demand
GPU models tracked
RTX3090, RTXA5000
Services
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.
RTX3090
QuoteClaim to publish
Best for RTX3090 workloads.
Fine-tuning
For smaller adaptation jobs, evaluation loops and budget-controlled development.
RTXA5000
QuoteClaim to publish
VRAM 24 GBClass Ampere
Best for Fine-tuning smaller models and evaluation loops on a tight budget.
COMMERCIALS
Pricing
Indicative published rates. Final cluster pricing depends on commit length, storage, networking and capacity.
Monthly rates
$68 – $4,199 /mo
Across 5 published SKUs spanning RTX3090, RTXA5000.
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.