GP Node
As a fundamental component of a GPGPU platform, it efficiently manages and evaluates GPU resources. Participation in Nodes is granted through NFT-based licenses. The more GPU resources are pooled, the more crucial efficient management and the reputation of GPU providers become. Establishing verification and reputation management in a blockchain-based organizational structure ensures a highly reliable ecosystem.
In a GPGPU platform, Nodes verify and optimize the activities of individual GPU Spots, ensuring that clients receive a continuous supply of GPU resources. Each Node is responsible for the following tasks:
Selection: GPU resources provided by Spotters are sorted based on region, connection conditions, and categorized according to the needs of different industry sectors. For instance, NVIDIA’s A100 and H100 are highly powerful single products that can offer robust and continuous GPU resources, suitable for simulations, machine learning, and deep learning for AI development. On the other hand, products with lower power as single devices are more cost-effective and can be used for tasks like video and image processing, where longer processing times are acceptable. Nodes prepare and manage queues tailored to the client's needs, considering various devices and environmental factors.
Replacement: The Nodes monitor the employed GPU Spots to ensure they continually provide GPU resources. They also set up replacement queues for immediate substitution in case of issues. If an employed Spot's connection is lost or its quality degrades, it is promptly replaced with a standby Spot.
Evaluation: The processes involved in the employment, basic conditions, and replacements of Spots are documented and evaluated. For example, Spots that frequently disconnect while employed receive negative evaluations, reducing their likelihood of future employment. By providing high-quality Spots to clients, the service quality is enhanced, encouraging repeat usage.
Anyone holding a Node NFT can participate as a Node or delegate their Node to another participant, paying a delegation fee for management. This structure helps meet the diverse needs of a large number of participants, achieving economies of scale.
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