Cudo Compute Plans Pricing
CUDO Compute uses a usage-based, pay-as-you-go model billed per GPU-hour, per vCPU-hour, per GB of memory-hour, and per GB of storage, with rates that vary by GPU model and data center. On-demand VMs are billed by the second/hour; Reserved Capacity and committed contracts unlock lower rates across multiple term lengths. Bare metal and multi-node GPU clusters are typically priced by quote/reservation. The API exposes live machine-type prices per data center.
Cudo Compute Plans Pricing is the machine-readable pricing-plan profile for CUDO Compute on the APIs.io network, conforming to the API Commons Plans specification.
It defines 3 plans, covering usage, subscription, and enterprise tiers, with named plans including On-Demand, Reserved Capacity, Bare Metal & Clusters.
Tagged areas include GPU, Cloud Compute, Infrastructure, Virtual Machines, and Marketplace.
Plans
Pay-as-you-go GPU and CPU virtual machines billed per resource-hour with no commitment; rates vary by GPU model and data center.
- Virtual Machines
- Disks & Storage
- Networks
- Public IPs
Commitment-based capacity at discounted rates across multiple term lengths, with capacity guarantees for GPU VMs, dedicated servers, and clusters.
- Reserved GPU VMs
- Commitment Terms
Dedicated bare metal servers and multi-node GPU clusters (H200, H100, A100 80GB, L40S, A800, and Blackwell-generation GPUs) priced by quote and reservation with InfiniBand/high-bandwidth networking options.
- Bare Metal Servers
- Multi-Node GPU Clusters
- High-Bandwidth Networking
Sources
- https://www.cudocompute.com/pricing
- https://www.cudocompute.com/docs/api
- https://www.cudocompute.com/products/gpu-cloud/nvidia-a100
- https://www.cudocompute.com/blog/what-does-it-cost-to-rent-cloud-gpus
Work with this as data
Every plan here is available over the APIs.io API and to AI agents over MCP.