Nvidia 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
Nvidia 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
Buyer reviews
Moderated buyer feedback. Independent from the viabandwidth assessment above.
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Nvidia 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 Nvidia offer?
Nvidia lists A40, A100, H100 and 5 more across its published capacity.
How much does Nvidia charge for GPU compute?
Nvidia does not publish list pricing. Visit their site or use the contact form on this page for a quote.
Is Nvidia's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. Nvidia has not claimed it.
OVERVIEW
Company overview
Operator class
Reseller
Operating entity
云计算解决方案：面向企业的可扩展AI 和高性能计算| NVIDIA - 英伟达
GPU models tracked
A40, A100, H100 and 5 more
Services
GPU compute, 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
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VRAM 80 GBClass SXM
Best for Mature training stacks that value known performance and broad tooling support.
H100
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VRAM 80 GBClass SXM
Best for Serious model training where time-to-result outweighs hourly cost.
GB200
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VRAM 192 GBClass Blackwell
Best for Frontier-scale training and the highest-throughput inference workloads.
H200
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VRAM 141 GBClass Hopper
Best for Large-scale training where memory bandwidth decides the outcome.
Inference
For predictable production serving, latency targets and steady utilisation.
L4
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VRAM 24 GBClass Ada
Best for Cost-efficient inference for smaller production models and API serving.
GB300
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Best for GB300 workloads.
Fine-tuning
For smaller adaptation jobs, evaluation loops and budget-controlled development.
A40
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VRAM 48 GBClass Ampere
Best for LoRA fine-tuning, evaluation and teams watching spend closely.
RTXA6000
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VRAM 48 GBClass Ampere
Best for Development and fine-tuning with 48 GB of memory at workstation pricing.
COMMERCIALS
Pricing
Indicative published rates. Final cluster pricing depends on commit length, storage, networking and capacity.
Pricing on request. Visit Nvidia’s site for a quote.
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.