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Gpu-hosting 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
Gpu-hosting 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
Buyer reviews
Moderated buyer feedback. Independent from the viabandwidth assessment above.
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Is Gpu-hosting a direct GPU operator or a reseller?
Gpu-hosting 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 Gpu-hosting offer?
Gpu-hosting lists RTX4090, T4, H200 and 11 more across its published capacity.
How much does Gpu-hosting charge for GPU compute?
Published indicative rates span Hourly rates at $0.10 – $30.72 /hr, Monthly rates at $25 – $3,631 /mo. Final cluster pricing depends on commit length, storage and networking.
Is Gpu-hosting's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. Gpu-hosting has not claimed it.
OVERVIEW
Company overview
Operator class
Reseller
GPU models tracked
RTX4090, T4, H200 and 11 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.
H100
QuoteClaim to publish
VRAM 80 GBClass SXM
Best for Serious model training where time-to-result outweighs hourly cost.
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.
P100
QuoteClaim to publish
Best for P100 workloads.
A10
QuoteClaim to publish
VRAM 24 GBClass Ampere
Best for Inference and rendering for workloads that don't need A10G pricing.
Fine-tuning
For smaller adaptation jobs, evaluation loops and budget-controlled development.
A40
QuoteClaim to publish
VRAM 48 GBClass Ampere
Best for LoRA fine-tuning, evaluation and teams watching spend closely.
RTXA6000
QuoteClaim to publish
VRAM 48 GBClass Ampere
Best for Development and fine-tuning with 48 GB of memory at workstation pricing.
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.
Hourly rates
$0.10 – $30.72 /hr
Monthly rates
$25 – $3,631 /mo
Across 113 published SKUs spanning RTX4090, T4, H200, P100.
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.