LuminAI
  • 0verview
    • Introduction
    • Decentralized Marketplace
    • Model-as-a-Service (MaaS)
    • Integration with Open-Source Communities
    • Monetization Opportunities for GPU Owners
    • Pay-as-you-Go Model
    • Compatibility
    • Global Accessibility
  • Getting Started with LuminAI
  • Optimizing Performance on LuminAI
  • Troubleshooting and Support
    • Faq's
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Pay-as-you-Go Model

Being powered-by-simplicity LuminAI has a payment structure that enables the most efficient cost management for users irrespective of the type of projects they are working on. Such a novel approach allows users to pay for GPU hours only when used, thereby matching costs and the project budget requirements. Whether clients are rolling out small or large AI and ML solutions or are developing their own from scratch, LuminAI's Pay-as-you-Go model provides scalability and affordability similar to a pay-per-use product without contracted fixed costs.

The Pay-as-you-Go model provides users with the freedom to allocate their expenditure as they need it, which enables them to become more responsible for the scale of their computing resources in accordance with the project dynamics. Such an approach does not lock users into specific hardware models; in other words, they can start off with limited resources at the onset of experimentation and then scale up as their projects progress or may require more computational power. In addition to this, users can adjust the resources depending on their activities by turning them off and on, thus spending only when it is needed.

The Pay-as-you-go model of LuminAI exactly matches costs with actual use eliminating up-front hardware investment. Long-term contracts are therefore redundant. Among the factors that make the system competitive is the fact that it will favor people and organizations with fluctuating workloads or limited budgets because it will afford them the opportunity to optimize resource allocation without incurring any unnecessary cost.

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Last updated 1 year ago