DataCrunch · Pricing Plans

Datacrunch Plans Pricing

DataCrunch uses transparent per-GPU-per-hour, pay-as-you-go pricing for on-demand GPU instances, with lower long-term (reserved) rates available via discount-period contracts. Serverless containers are billed per second of active compute on a chosen container compute size with autoscaling, so you pay only while replicas are running. Block storage volumes are billed per GB per month. There are no fixed Free / Developer / Enterprise software tiers; customers add credit (balance) and pay for the infrastructure they consume.

Datacrunch Plans Pricing is the machine-readable pricing-plan profile for DataCrunch on the APIs.io network, conforming to the API Commons Plans specification.

It defines 4 plans, covering usage and subscription tiers, with named plans including On-Demand GPU Instances, Long-Term / Reserved Contracts, Serverless Containers, Block Storage Volumes.

Tagged areas include GPU Cloud, Infrastructure, Compute, Inference, and Serverless.

4 Plans API Commons Plans
View Source
GPU CloudInfrastructureComputeInferenceServerlessEuropePlans

Plans

On-Demand GPU Instances usage

Per-GPU-per-hour on-demand pricing for dedicated GPU instances with no commitment. Billed by the second while the instance runs.

NVIDIA B200 (192GB) (gpu_hours · hour) $3.99 per GPU/hour USD
NVIDIA H200 SXM (141GB) (gpu_hours · hour) $2.99 per GPU/hour USD
NVIDIA H100 SXM (80GB) (gpu_hours · hour) $2.29 per GPU/hour USD
NVIDIA A100 SXM (80GB) (gpu_hours · hour) $1.29 per GPU/hour USD
NVIDIA A100 (40GB) (gpu_hours · hour) $0.72 per GPU/hour USD
NVIDIA L40S (48GB) (gpu_hours · hour) $0.91 per GPU/hour USD
NVIDIA RTX 6000 Ada (48GB) (gpu_hours · hour) $0.83 per GPU/hour USD
NVIDIA RTX A6000 (48GB) (gpu_hours · hour) $0.49 per GPU/hour USD
NVIDIA V100 (32GB) (gpu_hours · hour) $0.14 per GPU/hour USD
Long-Term / Reserved Contracts subscription

Discounted per-GPU-hour rates for committed long-term contracts over defined discount periods (e.g. monthly, multi-month), available for both instances and clusters.

Reserved GPU Instance (gpu_hours · month) discounted vs. on-demand (see long-term periods) USD
Serverless Containers usage

Autoscaling serverless container deployments billed per second of active compute on the selected container compute size; replicas scale to zero so you pay only while serving.

Container Compute (compute_seconds · hour) per-second billing by container compute type (see container-types) USD
Block Storage Volumes usage

Persistent NVMe/HDD block storage volumes billed per GB per month, independent of instance runtime.

Volume Storage (gb · month) per GB/month (see volume-types) USD

Sources

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