Rental Types
We're excited to present our flexible rental options tailored to meet diverse computational needs and budgets. Dive into our three primary rental models: On Demand (High Priority), Reserved (High Priority), and Interruptible (Low Priority).
On Demand Rentals:
Secure exclusive control over your GPUs with high priority access.
Enjoy the freedom to run instances for durations set by the host, visible on the create interface card.
Ideal for tasks requiring reliable, continuous operation.
Should the maximum duration be reached, the host may renew or conclude the session, with data remaining accessible.
Reserved Rentals:
Convert any "on demand" rental into a reserved rental by pre-paying and locking in funds for significant discounts (up to 60%, depending on the provider).
Flexibility to withdraw unused funds, adhering to the terms of the discounted rate and duration
Offers a balance between commitment and savings, with provisions for fund withdrawal under specific conditions, such as service level agreement failures.
Interruptible Rentals:
Operate with a bidding system, where higher bids grant higher priority, offering cost-effective solutions for tasks where execution guarantee is secondary to budget considerations.
Perfect for use cases with flexible time frames or those that can handle occasional pauses, offering potential cost reductions of 60% or more.
Important to implement data-saving practices, as instances may be paused or stopped based on priority changes or higher priority demands.
Selection Process:
Choose between "on-demand" or "interruptible" modes in the create interface, noting that selection is final post-rental.
On Demand is suited for critical, uninterrupted workloads, while Interruptible is cost-effective for scalable, less time-sensitive projects.
NodelyAI's rental options are designed to cater to various needs, ensuring that whether you require uninterrupted processing power or are looking to optimize costs with flexible scheduling, there's a solution for you. Explore our offerings to find the perfect fit for your computational tasks.
Last updated