Pricing
The Rafay Platform is priced based on a platform fee plus a per GPU/CPU or per Node unit fee. We offer multiple pricing tiers that work for Neo-clouds, enterprises, startups and service providers.
Standard Support during U.S. business hours (8AM EST – 8PM EST) is included. Enterprise Support (24x7x365) is available for an additional fee.

Pricing FAQs
A units is a physical or virtual server/machine.
Yes! As the number of units increases the price per cluster or per units decreases.
Our customers love to experiment, and we don’t ding them for it. We don’t charge for units count spikes, but look at the running average of units in use when calculating usage.
The management overhead for helping our customers operate dev vs prod clusters is effectively the same, so we treat all units the same.
Rafay has a true-up forward policy, meaning that we don’t carry out chargebacks for scenarios where the consumption in a completed billing cycle exceeded the licensed count. If the new, steady-state number of units is expected to be higher, our customer success team will discuss the situation with you, and take steps to adjust billing accordingly for the next billing cycle.
Enterprise Support is available at an additional fee equaling 20% of the cluster or units subscription.
Yes, please contact sales for more information about discounts for educational institutions and government agencies.
Rafay aims to provide transparent and potentially cost-saving solutions for managing AI/ML infrastructure. The platform addresses cost concerns in three key areas:Transparent Pricing: Rafay offers clear pricing models without hidden fees that can be associated with fully managed services. Cost Control: By managing your own infrastructure through Rafay, you can optimize resource usage and avoid over-provisioning, potentially leading to significant cost savings. Avoiding Vendor Premiums: Fully managed services often come with a premium for convenience. Rafay enables you to balance convenience and cost effectively. This approach allows organizations to have greater control over their infrastructure costs while still benefiting from the ease of use provided by Rafay’s platform.
Try the Rafay Platform for Free
See for yourself how to turn static compute into self-service engines. Deploy AI and cloud-native applications faster, reduce security & operational risk, and control the total cost of Kubernetes operations by trying the Rafay Platform!








