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Mercatus-ai

Mercatus is building the world's first unified financial intelligence platform for AI compute — combining real-time GPU pricing, LLM market data, and prediction markets.

☆ Shortlist
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VIABANDWIDTH

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Our evidence-based analysis.
Operator model signal

Mercatus-ai is currently under verification. Profile data reflects publicly available information and is subject to change as operator verification completes.

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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

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FAQ

Frequently asked questions

Is Mercatus-ai a direct GPU operator or a reseller?
Mercatus-ai is classified as a pending verification. Buyers doing initial provider research. Procurement decisions that require a verified operator model.
What GPU models does Mercatus-ai offer?
Mercatus-ai lists RTX5090, A100, MI300X and 12 more across its published capacity.
How much does Mercatus-ai charge for GPU compute?
Published indicative rates span Hourly rates at $0.10 – $17.80 /hr, Monthly rates at $500 – $43,500 /mo. Final cluster pricing depends on commit length, storage and networking.
Is Mercatus-ai's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. Mercatus-ai has not claimed it.
OVERVIEW

Company overview

Operator class
Pending verification
GPU models tracked
RTX5090, A100, MI300X and 12 more
Services
Colocation, 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

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.

B200

QuoteClaim to publish
VRAM 192 GBClass Blackwell

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

Inference

For predictable production serving, latency targets and steady utilisation.

RTX5090

QuoteClaim to publish

Best for
RTX5090 workloads.

B100

QuoteClaim to publish

Best for
B100 workloads.

B300

QuoteClaim to publish

Best for
B300 workloads.

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.

RTXA6000

QuoteClaim to publish
VRAM 48 GBClass Ampere

Best for
Development and fine-tuning with 48 GB of memory at workstation pricing.

RTXA5000

QuoteClaim to publish
VRAM 24 GBClass Ampere

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

COMMERCIALS

Pricing

Indicative published rates. Final cluster pricing depends on commit length, storage, networking and capacity.
Hourly rates
$0.10 – $17.80 /hr
Monthly rates
$500 – $43,500 /mo

Across 130 published SKUs spanning RTX5090, A100, MI300X, H100.

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