Platform & dApp
Last updated
Last updated
Nebula AI is more than just a GPU rental marketplace—it is an integrated, self-sustaining ecosystem that combines compute power, staking incentives, and a decentralized AI infrastructure. The platform is designed to provide scalable GPU resources, enable community-driven participation, and fuel AI development across multiple industries.
At the heart of the platform is the decentralized GPU marketplace, where:
GPU owners (hosts) list their hardware for rental, earning rewards in $NAI.
AI developers, researchers, and creators rent GPUs on-demand to scale their workloads.
Dynamic pricing & spot rentals ensure fair market competition and cost efficiency.
Trustless transactions via smart contracts provide secure, transparent, and instant payments.
Nebula AI removes centralized intermediaries, allowing direct peer-to-peer compute sharing.
Nebula AI introduces a staking model that rewards long-term platform participants while ensuring economic sustainability.
Stake $NAI to earn passive rewards from platform activity.
Increase rental discounts & earning multipliers by holding staked assets.
Tiered staking levels provide additional benefits, such as priority GPU access.
Locked staking pools for high-yield participation.
This system incentivizes both renters and GPU providers, making the network self-reinforcing.
Hosting GPUs on Nebula AI is designed to be simple, automated, and profitable.
Earn $NAI for renting out GPUs on flexible terms.
Auto-pricing tools optimize rental rates based on real-time demand.
Performance-based incentives reward reliable uptime and high availability.
Future reward pools will distribute additional bonuses to long-term contributors.
Hosts maintain full control over pricing, availability, and rental conditions, ensuring maximum profitability.
Nebula AI is more than just a rental service—it is an integrated infrastructure layer that other AI platforms can plug into.
Partner AI platforms can seamlessly access Nebula AI’s GPUs to power their compute-heavy workloads.
Decentralized compute-as-a-service (CaaS) model creates ongoing demand for GPU resources.
Automated scaling solutions ensure that AI services built on the network have persistent compute access.
Future integrations will allow AI dApps to deploy workloads natively on the platform, without external dependencies.
This means Nebula AI doesn’t just supply compute power—it becomes the backbone for decentralized AI services.