viabandwidthGPU Compute
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Gpus.io

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VIABANDWIDTH

viabandwidth assessment

Our evidence-based analysis.
Operator model signal

Gpus.io is currently under verification. Profile data reflects publicly available information and is subject to change as operator verification completes.

Check back once verification is complete for a more detailed read.

Best for: Buyers doing initial provider research. Not for: Procurement decisions that require a verified operator model.

Confidence: LowEvidence reviewed: 1 checks
Indicator

Verification in progress

Operator classification and network checks are being reviewed. Profile reflects publicly available information.

REVIEWS

Buyer reviews

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FAQ

Frequently asked questions

Is Gpus.io a direct GPU operator or a reseller?
Gpus.io is classified as a pending verification. Buyers doing initial provider research. Procurement decisions that require a verified operator model.
What GPU models does Gpus.io offer?
Gpus.io lists A100, A40, B200 and 16 more across its published capacity.
How much does Gpus.io charge for GPU compute?
Published indicative rates span Hourly rates at $1.00/hr. Final cluster pricing depends on commit length, storage and networking.
Is Gpus.io's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. Gpus.io has not claimed it.
OVERVIEW

Company overview

Operator class
Pending verification
GPU models tracked
A100, A40, B200 and 16 more
Services
GPU compute
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.

B200

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VRAM 192 GBClass Blackwell

Best for
Frontier-scale training and teams optimizing around the newest platform.

GH200

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VRAM 96 GBClass Hopper

Best for
Tightly-coupled training requiring NVLink bandwidth across GPU and CPU.

H100

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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.

B300

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Best for
B300 workloads.

GB300

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Best for
GB300 workloads.

L4

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VRAM 24 GBClass Ada

Best for
Cost-efficient inference for smaller production models and API serving.

L40

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VRAM 48 GBClass Ada

Best for
Production serving for models that fit in 48 GB without SXM pricing.

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.

RTXA5000

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VRAM 24 GBClass Ampere

Best for
Fine-tuning smaller models and evaluation loops on a tight budget.

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.
Hourly rates
$1.00/hr

Across 1 published SKUs spanning A100, A40, B200, B300.

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