Inferencehub sources GPU capacity from third-party 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
Inferencehub sources capacity from a third-party infrastructure provider 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 Inferencehub a direct GPU operator or a reseller?
Inferencehub 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 Inferencehub offer?
Inferencehub lists A40, RTX3090, A100 and 13 more across its published capacity.
How much does Inferencehub charge for GPU compute?
Published indicative rates span Hourly rates at $0.14 – $2.25 /hr, Monthly rates at $25 – $1,500 /mo. Final cluster pricing depends on commit length, storage and networking.
Is Inferencehub's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. Inferencehub has not claimed it.
OVERVIEW
Company overview
Operator class
Reseller
GPU models tracked
A40, RTX3090, A100 and 13 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.
A100
QuoteClaim to publish
VRAM 80 GBClass SXM
Best for Mature training stacks that value known performance and broad tooling support.
MI300X
QuoteClaim to publish
VRAM 192 GBClass AMD
Best for Training and inference for teams evaluating the AMD ecosystem.
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.
Inference
For predictable production serving, latency targets and steady utilisation.
RTX3090
QuoteClaim to publish
Best for RTX3090 workloads.
GB300
QuoteClaim to publish
Best for GB300 workloads.
L40
QuoteClaim to publish
VRAM 48 GBClass Ada
Best for Production serving for models that fit in 48 GB without SXM pricing.
L40S
QuoteClaim to publish
VRAM 48 GBClass Ada
Best for Cost-effective production inference and image generation at scale.
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.
COMMERCIALS
Pricing
Indicative published rates. Final cluster pricing depends on commit length, storage, networking and capacity.
Hourly rates
$0.14 – $2.25 /hr
Monthly rates
$25 – $1,500 /mo
Across 67 published SKUs spanning A40, RTX3090, A100, MI300X.
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.