VESSL AI operates a marketplace for A100, H100, V100, L4, B300, GB200, B200, H200 and other GPU capacity. Its platform supports spot, on-demand and reserved access with SOC 1, SOC 2, ISO 27001, HIPAA, Uptime and Tier III coverage.
VESSL.ai aggregates GPU supply from multiple underlying operators, offering breadth across hardware types and pricing tiers. Useful for buyers who value flexibility and competitive pricing over consistency in the underlying hardware or provider.
Capacity source and provenance vary by listing. Teams with strict compliance or performance requirements should verify before committing at scale.
Best for: Buyers comparing flexible third-party supply across hardware and price points. Not for: Workloads that need a consistent underlying operator and infrastructure provenance.
Confidence: MediumEvidence reviewed: 4 checks
Indicator
Marketplace classification
VESSL.ai aggregates GPU capacity from multiple underlying providers through a marketplace model.
Indicator
Supply variability
Capacity source and underlying hardware vary by listing. Review individual offer terms before committing to extended runs.
REVIEWS
Buyer reviews
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VESSL.ai is classified as a marketplace. Buyers comparing flexible third-party supply across hardware and price points. Workloads that need a consistent underlying operator and infrastructure provenance.
What GPU models does VESSL.ai offer?
VESSL.ai lists RTX4090, T4, GB300 and 10 more across its published capacity.
How much does VESSL.ai charge for GPU compute?
Published indicative rates span Hourly rates at $0.20 – $98.32 /hr, Monthly rates at $3,000/mo. Final cluster pricing depends on commit length, storage and networking.
Is VESSL.ai's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. VESSL.ai has not claimed it.
OVERVIEW
Company overview
Operator class
Marketplace
GPU models tracked
RTX4090, T4, GB300 and 10 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.
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.
B200
QuoteClaim to publish
VRAM 192 GBClass Blackwell
Best for Frontier-scale training and teams optimizing around the newest platform.
H100
QuoteClaim to publish
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.
RTX4090
QuoteClaim to publish
Best for RTX4090 workloads.
T4
QuoteClaim to publish
VRAM 16 GBClass Turing
Best for Cost-optimised inference for smaller models with predictable load.
GB300
QuoteClaim to publish
Best for GB300 workloads.
P100
QuoteClaim to publish
Best for P100 workloads.
COMMERCIALS
Pricing
Indicative published rates. Final cluster pricing depends on commit length, storage, networking and capacity.
Hourly rates
$0.20 – $98.32 /hr
Monthly rates
$3,000/mo
Across 41 published SKUs spanning RTX4090, T4, GB300, H200.
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.