DEEP CLOUD AI
Product Overview
While the cloud industry is very mature with large players such as AWS, Google Cloud and Azure, their cloud infrastructure is geared towards centralized applications where the main resources run in a large centralized data center. This solution is not suitable for building decentralized peer-to-peer and IoT applications that have requirements for computing resources that run close to peripheral devices to process the volume of data that is generated on the edge, or a cost-effective payment solution for flow payments for Micro transactions are executed automatically by p2p IoT devices when they interact and automate common tasks.
DeepCloud AI will democratize the playing field for cloud infrastructure and open the market for resource providers and application developers to run and use their decentralized applications in a cost-effective manner. Like Golem, SONM, iExec, DeepCloud AI is building a decentralized cloud platform, and betting on blockchain-based cloud solutions as the future for decentralized applications. The core differentiator is the use of AI to match resources between network resource providers and application developers.
Technology
The main idea of DeepCloud AI is to build a network that is independently distributed through AI. DeepCloud AI focuses on building distributed cloud infrastructure based on the blockchain rather than building specific services such as unused storage, AI computing platforms, or databases as services. Which is applied in Filecoin, DeepBrain Chain, and Bluzelle respectively.
Many challenges affect the performance of a decentralized cloud infrastructure. Starting from synchronization between nodes, matchmaking algorithms, scheduling criteria, and fair incentives for each network contributor. In addition, network load balancing is cost effective in terms of market supply. DeepCloud AI faces this challenge at various architectural levels.
The network is built using the membership protocol, and proof of service to meet the user's dApps, services, and node configurations. The purpose of choosing a membership protocol, allows nodes to find each other, spread information quickly, and maintain a consistent view between nodes in a cluster application. In addition to the membership protocol, AI controllers are based on several aspects (i.e. sharding, sidechains, matchmaking algorithms, task scheduling, load balancing, etc.).
The main aspects for controllers are sharding, and sidechains. As a network self-regulated and based on AI. The more information that can be obtained from each node; the better the network.
TOKEN
Symbol : DEEP
Hard cap: $ 15 million
Total supply: 200 million
Tokens for sale: 80 million (40%)
Price per token: $ 0.25
Decision
Just like Golem, SONM and iExec, DeepCloud AI shares the same vision about the future of decentralized cloud computing but adds an AI aspect to technology that facilitates the right matching of resources between providers and application developers. I believe that the potential for project growth is very large considering the technology it offers, the team is strong and the metric tokens are good. Advisors and partnerships can be stronger but they claim to have more than 10 partnerships in the pipeline and strategic advisers soon join.
For detailed information, please visit official :
WEBSITE : https://www.deepcloudai.com/
WHITEPAPER : https://www.deepcloudai.com/paper/Whitepaper_DeepCloud_AI_Version1_00_ENG.pdf
TELEGRAM : https://t.me/deepcloud_ai
TWITTER : https://twitter.com/DeepCloud_AI
Author
https://bitcointalk.org/index.php?action=profile;u=2443861
0x3dE816E2F6FA28AB7Fad2B28fD8c649Ab5c0bdeC