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01 / ANALYST READ
Our read
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.
Confidence: MediumEvidence reviewed: 3 checks
02 / 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
03 / 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.
H100
QuoteClaim to publish
VRAM 80 GBClass SXM
Best for Serious model training where time-to-result outweighs hourly cost.
GB200
QuoteClaim to publish
VRAM 192 GBClass Blackwell
Best for Frontier-scale training and the highest-throughput inference workloads.
H200
QuoteClaim to publish
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
QuoteClaim to publish
VRAM 24 GBClass Ada
Best for Cost-efficient inference for smaller production models and API serving.
GB300
QuoteClaim to publish
Best for GB300 workloads.
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.
04 / TRUST
Verification
Evidence that there's a real operator behind the offer.
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.
05 / COMMERCIALS
Pricing
Indicative published rates. Final cluster pricing depends on commit length, storage, networking, and capacity.
No published rates tracked. Visit Nvidia’s site for a quote.
07 / NEXT
Talk to Nvidia
viabandwidth does not sit between you and the provider. Go straight to their site.
nvidia.cn
Pricing pages, quote forms, and sales routes live on the provider’s own site.
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.