Overview
Overview
AITECH GPU renting platform is a decentralized GPU platform, which leverages the blockchain/AIML technology by letting users to rent computation resources directly from others, with the warranty from the platform itself. The purpose of this document is to illustrate our userβs journey while experiencing the service.
When compared to the traditional cloud platform like AWS, we do not rely on a data center operated by one β centered provider. Our network is contributed by different individuals and organizations to ensure user experiences with various types of resources. We also introduced a token economy for our network, where participants earn tokens by providing resources or services to the ecosystem.
What functions we have?
1. Hosting
Hosting is a simple way for the owner to share their free resources with the community via our network. Owner (or the Host) can publicize their machines on the platform, via our engine script for different users, and by doing so, earn tokens for each hour they have the machine for earning, Pricing will depend on the resource sharing, and owners will have to declare their expected price before the renting.
2. Renting
The renter, who wants to use the published resources, can do so via deploying an instance, and also will be charged tokens per hour of usage. Whether a developer, data scientist, or a researcher, using seamless deployment options, renters can select the instance based on their specific needs, as well as configure certain pre-installed extensions to cover all the scope they need.
Terminology
Name
Description
1
Engine
Refer to a set of application packages for virtualizing physical devices into virtual devices.
2
Host machine
Refer to the physical device which is virtualized
3
Virtual machine/Machine
Refer to the owner's virtual machine, which is created from the host machine
4
Instance
Refer to the renter virtualized machine. Instances are created by taking suitable resources from the Virtual machine
5
Passthrough
Represent a technique that allows Virtual machines to have exclusive access to the GPU of the host machine as if the GPU is physically connected to the VM.
6
Renter
Represent user who rents the instance
7
Owner
Represent users who host the machine
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