Koyeb resells B200, H200, H100, A100, L40S, L4, V100 and RTX A6000 GPU capacity through a managed cloud platform. Its services support intensive applications across more than 50 locations with SOC 2 and ISO 27001 certification.
Koyeb sources GPU capacity from Google Cloud 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
Koyeb sources capacity from Google Cloud 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
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Koyeb 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 Koyeb offer?
Koyeb lists A100, B200, L40S and 5 more across its published capacity.
How much does Koyeb charge for GPU compute?
Published indicative rates span Hourly rates at $0.50 – $1.60 /hr, Monthly rates at $29 – $1,000 /mo. Final cluster pricing depends on commit length, storage and networking.
Is Koyeb's viabandwidth listing verified?
Not yet. This profile is compiled by viabandwidth from public sources. Koyeb has not claimed it.
OVERVIEW
Company overview
Operator class
Reseller
GPU models tracked
A100, B200, L40S and 5 more
Services
Colocation, GPU compute, Managed services and 1 more
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.
H100
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VRAM 80 GBClass SXM
Best for Serious model training where time-to-result outweighs hourly cost.
H200
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VRAM 141 GBClass Hopper
Best for Large-scale training where memory bandwidth decides the outcome.
Inference
For predictable production serving, latency targets and steady utilisation.
L40S
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VRAM 48 GBClass Ada
Best for Cost-effective production inference and image generation at scale.
V100
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Best for V100 workloads.
L4
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VRAM 24 GBClass Ada
Best for Cost-efficient inference for smaller production models and API serving.
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.
COMMERCIALS
Pricing
Indicative published rates. Final cluster pricing depends on commit length, storage, networking and capacity.
Hourly rates
$0.50 – $1.60 /hr
Monthly rates
$29 – $1,000 /mo
Across 11 published SKUs spanning A100, B200, L40S, V100.
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.