DeepCloud AI; World best decentralized cloud computing platform like never before

Alaho15

Decentralized Cloud Storage is one use case that’s growing quickly and aims to unravel one amongst the largest on-line challenges today. Cloud storage is controlled by some super massive providers (Google, Microsoft, Dropbox, Amazon, and so on). Raising questions about data security, privacy, licensing, control and possession of data. It’s another hidden blockchain chance for hosting and cloud providers.

In this regard, for the effective processing of IoT data with the aid of artificial intelligence, it's necessary to form a platform with the hope of decentralizing the use of computing resources and data storage, which can be DeepCloud AI. According to statistics, the IoT data market is increasing annually by 19.92% that is why its volume in 2020 will reach 8.9 trillion US dollars.

Overview of the Project

With a magnificent of innovative technological developments ceaselessly increasing the horizon of what's humanly and technologically doable in several areas, it actually an exciting time to be alive, and a fair additional exciting time to be a technical pioneer; advancements in areas like blockchain, artificial intelligence and IoT wield the ability to disrupt existing local industries and pioneer several previously undoable technological advancements that might have profound advantages to our daily personal and corporate lives- and even on the terribly mechanics of our human experience. This circumstance presents an opportunity for innovative technical companies and blockchain projects that have the industry experience and foresight to hone in and capitalise on a disruption-worthy or promisingly budding niche at an early stage.

DeepCloud AI may be a notably spectacular example of those technological pioneers, during this case targeting the giant cloud computing industry; having known edge computing for IoT and decentralized peer-to-peer applications as a obviously promising gap within the current market, and ideal primary entry point into a distinct segment ripe for disruption, DeepCloud AI are actively building their dynamic decentralized cloud computing ecosystem. This can be achieved by using a community-driven, tech-focused operational model. The notably skilled team are demonstrating a powerful fusion of technical savvy and business acumen, with a vigorous concentrate on significant partnerships combined with relentless technological development.

DeepCloud AI’s operational mechanics incorporate the employment of artificial intelligence and blockchain technology at a core level, so as to supply every part of the ecosystem’s community with an optimally helpful expertise as they use DeepCloud AI’s platform for his or her various means- from process resource providers to dApp developers and on the far side. Spearheaded by industry veterans, DeepCloud AI’s mission is clear: to democratise and advance cloud computing through their innovative technical and community-driven operational model.

Present industry Situation

The giant cloud computing industry is ready on a fast trajectory, and its widening adoption scope is presenting ample chance for innovative disruption. Although dominated by a few of industry giants (including Amazon web Services, Microsoft Azure and Google Cloud), the cloud computing sector is massively huge, holding a superfluity of industry applications and use cases that are solely increasing as technology in several fields advances.

As a results of the continual advancements in blockchain technology, 2018 has seen decentralized cloud computing become a dominant technological trend, with new market players rising to satisfy specific demands involving peer-to-peer cloud networks. Examples include: Golem, whose initial focus and solely presently supported use case is graphics rendering; SONM, that may be a non-niche specific all-purpose cloud with obscure plans to develop a marketplace however no such developments thereon front as of yet; and also the iExec cloud marketplace for dApps, that lacks fascinating operational components like masternodes and AI-calculated truthful incentivisation.

This landscape leaves one explicit sector of cloud computing still not nonetheless effectively catered for by existing solutions- edge computing for decentralized peer-to-peer and IoT applications. Current decentralized solutions don't seem to be designed to serve this specific niche, and local centralised cloud computing infrastructures are unsuitable for these use cases, as they need serious computational resources close the edge (close proximity to the data collection point) for the economical process of comparatively huge amounts of data generated by edge devices. Similarly, microtransactions on existing payment gateways, alongside distinguished blockchains like Bitcoin and Ethereum, are too expensive for IoT use cases.

Moreso, from the attitude of developers, making dApps is presently cumbersome and complex process- with very little in the way of helpful developer help or tools, coupled with application elements or templates. Regardless of the absent of effective widespread solutions, edge computing is turning into more and more needed as IoT devices have become laced with AI at a staggering rate- a trajectory set to move as the two technologies still advance.

DeepCloud AI’s Blockchain-based Solution

Essentially, DeepCloud AI are consistently overlapping the realms of cloud computing and therefore the P2P sharing economy, and infusing the resulting solution with blockchain and AI-based security and practicality. The result's the development of a reliable self-sufficient and dynamically evolving decentralised cloud computing ecosystem, and a platform that is in a position to supply cheaper, quicker and richer operational functionalities than the traditional centralised solutions.

This approach wields vast disruptive potential for a spread of industries, however particularly stands to profit those that need low latency so as to perform optimally. Notably promising use cases include: decentralised applications; solutions for IoT devices; AR and VR solutions.

Use case samples of DeepCloud AI's decentralised cloud computing solution

Community-Powered Ecosystem

DeepCloud AI specialize in providing resources at the edge, alongside a plethora of developer tools and a stylish marketplace, through an innovative model of reciprocally incentivised community participation.

A platform user’s network experience is centred around DeepCloud AI’s two-sided marketplace; this is the hub which computational resources can be sold-out and purchased, as will pre-validated developer-made apps and app components. Resource provider are ready to currently effectively monetise their spare computing resources while serving to developers, who themselves will seamlessly utilize these resources for building their application, while enjoying access to DeepCloud AI’s innovative feature-rich marketplace and therefore the operational edges that it brings.

Enterprises with similar use cases are inherently incentivised to aboard with DeepCloud AI and take advantage of their network of native resources, so as to extend the process speed of their operations and overcome ancient problems relating to latency. significantly for the acceleration of developer adoption, the DeepCloud AI platform is ‘reverse compatible’, which means that local centralised applications will seamlessly integrate into the network as they presently exist, and may step by step transition to blockchain at a pace that suits their specific operational desires.

AI Matching Engine

DeepCloud AI’s implementation of computing from the terribly beginnings of their journey has meant the power to integrate AI as a valuable foundational component of the network. The network’s AI matching engine evaluates the particular attributes of every resource-contributing machine within the network, allocating resources to optimally service the wants of the applications running on DeepCloud AI’s platform. A binary can run on every resource provider’s machine, collecting important data (such as proximity, available network bandwidth and machine behaviour) that is then sent to the AI matching engine wherever the particular necessities of network applications are evaluated, and resources are showing intelligence appointed based on these parameters to maximise network performance.

From a broader perspective, by grip the innovative potential of the rising field of AI at this early stage in its own development, DeepCloud AI can ready to capitalise on their pre-established industry foothold as AI becomes a lot of necessary and commonplace inside technological advancements.

Why using Blockchain?

Microtransactions are the main use case of blockchain inside the DeepCloud AI ecosystem; transactions inside the network are an intrinsic part of its operational model, and thus ought to be seamless, efficient, and deeply integrated into the platform. DEEP tokens, therefore, are going to be the universal mechanism of network value transfer when trading computational resources and once creating further purchases, or sales, inside the marketplace. Costs and rewards are determined by the network’s AI controller, providing a really truthful network incentive structure.

This blockchain-based economic structure is an integral part of DeepCloud AI’s decentralized solution, that helps to foster a vigorous, happy, and thriving multi-faceted decentralized ecosystem.

Competition

There are alternative cloud projects similarly, however let's have a look at however they're totally different.

Golem is intending to be the world's decentralised Super computer.

iExec also is intending to make a cloud marketplace for users and dApps.

SONM is intending to be an alternate work supplier through running services within the marketplace. it's primarily a renting service for processing power.

There are some cloud storage projects similarly however they're simply storage, nothing more. they cannot be compared with all these and DeepCloud AI.

However DeepCloud AI brings AI on the table, which can be the future. for instance Nvidia saw this and included AI chip to their newest graphic cards like RTX 2080 etc. DeepCloud AI can operate all these hardware and can offer a ground for projects.

DeepCloud AI uses cloud for many functions, like running AI codes, running dApps, sharing storage, data streaming to mention but few.

ROADMAP

Year, 2018

Q1 2018: Market Study (Concept Formation)

Q2 2018: Public whitepaper (Concept Formation)

Q3 2018: Private MVP, DeepTransfer was release by Huron

Q4 2018: Public MVP - IoT, dApps, DeepTransfer Premium was released by Tahoe

Year, 2019

Q1 2019: Enterprise MVP, DeepChain Testnet MVP released by Salton

Q2 2019: Application Marketplace, DeepProperty will be release by Erie

Q3 2019: Scalable Enterprise will be release by Yellowstone

Q4 2019: DeepChain Mainnet Developer Community, Ecosystem will be release by Falcon

Year, 2020

Q1 2020: Foundation Formation, DeepChain Developer Tools will be release by Wheeler

Q2 2020: Global Enterprises will be release by Klamath

Q3 2020: DeepChain Analytics will release by Beaver

Q4 2020: DeepChain Fraud Prevention Engine will be release by Grenada

ICO and also the DEEP TOKEN

Deep token are going to be ERC20 within the starting, however mainnet are going to be ready later on.

Token Sale are going to be tired three sessions:

• Private Sale (with a bonus of up to 25%)

• Pre-Sale

• Public Sale

Token Sale Information:

• 1DEEP = $0.25

• Hard Cap = $15 million

• Total Supply: 200,000,000 DEEP

• unsold tokens are going to be burned Ex- ICO

• conjointly they'll burn the tokens within the same ratio for all alternative segments of the chart

The fact that they're attending to burn unsold tokens is really wonderful, nice for coin value. Moreso, they'll not solely burn crowdsale reserve, however conjointly burn same ratio of tokens from alternative reserves similarly. Looks greatly truthful. Here you'll check the allocation:

Allocation

40% - Crowdsale

20% - Reserves

15% - Dev Team

5% - promoting Expenses

Funds are going to be used for

55% - Research & Product Development 10% - Contingency

10% - Operations

10% - Indirect Expenses

12% - promoting Communications

3% - Contractors

In Conclusion, the blockchain is a technology that's foreseen to possess giant implications for industries like finance, health, government, medicine, manufacturing, logistics, transportation, and more. With additional blockchain-based applications, there'll be an outsized demand for data centers with the proper infrastructure. DeepCloud AI is the last bus stop for computer cloud storage, Deepcloud AI is the best cloud data storage platform live never before.

Useful links for Deepcloud AI project:

WEBSITE: https://deepcloudai.com

TELEGRAM: https://t.me/deepcloud_ai

WHITEPAPER:https://www.deepcloudai.com/paper/Whitepaper_DeepCloud_AI_Version1_00_ENG.pdf

FACEBOOK: https://fb.me/DeepCloudOfficial

TWITTER: https://twitter.com/DeepCloud_AI

MEDIUM: https://medium.com/@DeepCloud_AI

REDDIT: https://reddit.com/r/DeepCloudPlatform

LINKEDIN: https://www.linkedin.com/company/deepcloud_ai/

YOUTUBE: https://www.youtube.com/channel/UCsFttSUlJuYbDvAiED_MlRg

GITHUB: https://github.com/DeepCloud-AI

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