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.
Plans
Per-GPU-per-hour on-demand pricing for dedicated GPU instances with no commitment. Billed by the second while the instance runs.
- GPU Instances
- Instance Types & Availability
- Images & Startup Scripts
- SSH Keys
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.
- Long-Term Periods (Instances)
- Long-Term Periods (Clusters)
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.
- Serverless Containers
- OpenAI-Compatible Inference
Persistent NVMe/HDD block storage volumes billed per GB per month, independent of instance runtime.
- Volumes
- Volume Types