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GPUVec

GPUVec is the premier platform for comparing GPU cloud instances across 40+ providers. Find the best prices for NVIDIA H100, A100, RTX 4090 and more. Save up to 80% on AI/ML workloads.

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VIABANDWIDTH

viabandwidth assessment

Our evidence-based analysis.
Direct verifiedOperator model signal

GPUVec is a direct operator with a broad GPU lineup spanning current-generation NVIDIA capacity. Running its own network, it suits teams moving from experimentation into sustained production or those that need range across training, inference and fine-tuning without managing separate provider accounts.

The tradeoff: procurement is configuration-dependent and may require a quote process rather than instant checkout. Best fit for buyers with a clear workload plan.

Best for: Buyers who want a direct relationship with the operator that owns the metal. Not for: Teams prioritising a marketplace's breadth of third-party supply.

Confidence: HighEvidence reviewed: 8 checks
Confirmed

Direct operator classification

GPUVec controls GPU infrastructure and sells access directly. Not a marketplace or hyperscaler resale offer.

REVIEWS

Buyer reviews

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FAQ

Frequently asked questions

Is GPUVec a direct GPU operator or a reseller?
GPUVec is classified as a direct operator. Buyers who want a direct relationship with the operator that owns the metal. Teams prioritising a marketplace's breadth of third-party supply.
What GPU models does GPUVec offer?
GPUVec lists RTX4090, H200, P100 and 21 more across its published capacity.
How much does GPUVec charge for GPU compute?
Published indicative rates span Hourly rates at $0.10 – $20.72 /hr, Monthly rates at $30 – $100 /mo. Final cluster pricing depends on commit length, storage and networking.
Is GPUVec's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. GPUVec has not claimed it.
OVERVIEW

Company overview

Operator class
Direct operator
Operating entity
TensorDock GPU Cloud Pricing 2026: H100, A800 80GB...
GPU models tracked
RTX4090, H200, P100 and 21 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.

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.

MI300X

QuoteClaim to publish
VRAM 192 GBClass AMD

Best for
Training and inference for teams evaluating the AMD ecosystem.

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.

RTX4090

QuoteClaim to publish

Best for
RTX4090 workloads.

P100

QuoteClaim to publish

Best for
P100 workloads.

H800

QuoteClaim to publish

Best for
H800 workloads.

P40

QuoteClaim to publish

Best for
P40 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.

COMMERCIALS

Pricing

Indicative published rates. Final cluster pricing depends on commit length, storage, networking and capacity.
Hourly rates
$0.10 – $20.72 /hr
Monthly rates
$30 – $100 /mo

Across 115 published SKUs spanning RTX4090, H200, P100, A40.

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