Deep Cloud AI desires to dig deep and prepare the infrastructure for use in the future of Blockchain and dApp deployment. It is exploring the new market of decentralized solutions by offering users a blockchain-based decentralized cloud service option.

Website: https://www.deepcloudai.com/

Community:

Twitter | 117 Followers

Telegram | 4880 Members

Alexa Rank | 9,927,308

Medium | 11 Followers

Token Metric:

Total Supply: 200,000,000 DEEP

Hardcap: $15 Million

Softcap: $8 Million

1 Deep: $0.25

Only ETH will be accepted on the public sale.

Private Sale has bonus rate up to 25%, presale has 10% bonus rate and public sale will yield no bonus.

Deep Token

DEEP tokens is going to be launched as ERC-20 tokens in the beginning. Since their development is not going to be implement on Ethereum network due to scalability issues, DeepCloud AI will carry out a much faster and more scalable blockchain like NEO or ICON.

1. Technology

DeepCloud AI’s aim is to improve cloud usage experience and allow them to have better inputs for efficient decision-making building an AI-driven decentralized cloud computing platform for running decentralized applications — IoT and Web 3.0 DApps, which provides a spot market for computing and storage resources for enterprise-level users and individuals to share their excess capacity on Deepcloud AI decentralized cloud. Applications execute in a secure sandbox on the peer-to-peer resources, and all transactions are managed on the blockchain via smart contracts with full audit trail of the transaction on the DeepCloud AI Blockchain. That helps the users achieve a rich set of information and predictions and then take better and intelligent decisions.

2. Ecosystem

Network Resource Providers: They are those who wish to earn DEEP tokens by providing unused computing resources from their hardware devices. In order to run the DeepCloud AI nodes on their devices, they have to lock DEEP tokens as Proof of Stake. DeepCloud AI will optimize its resources by organizing nodes in clusters based on their specifications. Therefore, each device will have its processing power optimized. The main aspects for the AI controller is sharding, and sidechains. As the network is self-organized and based on the AI. The more information one can get from each node; the better the network would be.

Master Nodes: The command centers are controlled by AI. Master nodes organize regular nodes into proper cluster. They match the requests from the network users with the right clusters in real time. In cases of congestion, side-chains will be utilized. (Sidechains are separate blockchains that can conduct cross-chain transactions with a main chain via a two-way peg.)

Network Users: The businesses will use DEEP tokens to access database services, software, and processing power. Businesses are incentivized to use Deepcloud AI because of the lower cost and higher security compared to the traditional IaaS & SaaS providers.

Application Marketplace Providers: Developers can earn DEEP tokens by deploying software on demand in the DeepCloud AI. They are required to stake tokens to ensure their honesty. Network users will pay DEEP tokens to access the software.

3. Infrastructure

On-Chain: DeepCloud AI will be run on top of the Ethereum blockchain for payment, security, KYC, and operation (Master Nodes/AI Controller). In the future, they plan to move to a faster blockchain such as Icon or NEO. For micro-transactions, DeepCloud AI will develop its own DAG to conduct micro-transactions to serve IoT applications, games etc… DeepCloud AI’s DAG based blockchain provides support for zero cost, fast deterministic transactions, making micropayments viable. All transactions will be done on immutable Blockchain with full traceability via smart contracts.

Off-Chain: The network users, application providers, and network resources providers will be off-chain. Consensus will be reached via a membership protocol controlled by the master nodes and proof of service to meet user dApps, services, and node configurations. Because nodes are allowed to discover one another, disseminate information quickly, and maintain a consistent view across nodes within application cluster.

Security: The software will be run on a secure sandbox environment on the nodes. This prevents the software from harming the operating system and hardware of the nodes. Master nodes and clusters will stake DEEP tokens to ensure that dishonest actions provide no financial benefit. DeepCloud AI will implement a security feature similar to Intel SGX ( a set of CPU helping to secure remote computation, web browsing, and digital rights management). This protects the software from modifications or disclosure by the host machine.

DeepCloud AI Platform

The DeepCloud AI Platform is a decentralized IaaS Cloud provider with following services:

DeepCloud AI’s Core Platform controller manages the resources and has the AI Matching engine for matching the Network Resource Providers and the Application developers. DeepCloud AI’s Developer Community providers open source tools for the IoT and DApp application developers. Some of these tools are provided by DeepCloud AI itself, other’s will be contributed by the broader community.

4. Comparision with Other Projects with the same technology ideas

Like Golem, SONM and iExec, DeepCloud AI shares the same vision of the future of decentralized cloud computing; however, the AI aspect of the technology allocate proper appropriate resource for the providers and the application developers.

Market comparison: Golem: $435M Market Cap. SONM: $74M Market Cap.

5. Roadmap

A testnet will be available in August. The product will be available for users in Q1 of 2019 and available for enterprises in Q2 of 2019.

6. Team

The Team includes 11 professionals with a large variety of background from cloud computing, cyber security and finance.

Max Rye, CEO — 15 years of experience in Cloud Computing Industry. Experienced in Enterprise-level Cloud Infrastructure. AI Researcher.

Geeta Chauhan, CTO — CTO of Fortune 500 companies. 25 years of experience in leading diverse global teams. Silicon Valley Software Group. Experienced in implementation of AI on Blockchain.

Joseph Vargas, Principal AI/Cloud Artichect — 13 years of experience in building corporate cloud and AI systems. Experienced software architect and enterprise-level applications and solutions.

Darryl Lo, Business Development Manager

Founder and CEO of Alphablockchain Solutions - An ICO management and advisory firm. He has supported several ICOs in the past, including Zebi, SentinelChain and PChain.

Yurii Oleksyshyn, Blockchain developer

4 years of experience in blockchain development and software engineering. Blockchain expert.

Miroslav Sala, Chief Marketing Officer

12 years of experience in business management. INSEAD MBA valued and he has spent 6 years working in Ebay as a Business Performance Manager.

Derin Karim, Head of Community Management

Derin is the project director of Alphablockchain Solutions. He is experienced in community management and has supported several ICOs in the past, including THEKEY, Zebi and PChain.

Benson Leung, Project Management Director

5 years of experience in Tech-Business Start-ups. Several successful projects. Experienced in business operations and project management.

Maged Eljazzar, Head of AI/ML Engineering

5 years of experience in AI and blockchain development. Experienced in Machine Learning and distributed ledger system.

David Mendieta, Full Stack developer

2 years of experience in all layers in computer software development. Blockchain expert.

Felix Castro Rodriguez, Head of Development Team

18 years of experience in R&D project lead and full stack app dev. Expert streaming engineer and blockchain integration.

7. Advisors

Vishwas Manral, Cloud Security Advisor

Founder & CEO at Nano Sec Co and Vice Chairman of CSA. 0chain and Veryx Advisor. 10 years of experience in cloud architecture. The Inventor of IPSec and ADVPN with over 30 RFCs.

Dr. Ahmed Sayed, AI/Cloud Computing Advisor

Senior Researcher at Future Network Theory Lab, Huawei, Hong Kong. PhD in Computer Science for cloud computing and AI. 10 years of experience in research and development of cloud computing architecture.

Dr. Hengky Susanto, Cloud Computing Advisor

PResearcher at Huawei's Future Network Theory Lab. PhD in Computer Science. 10 years of experience in cloud computing architecture. Over 30 publications on computer network.

The team and advisors have the experience needed to deliver a quality product. They are not academics implementing a solution based on research but professionals that worked and implemented new technologies in large corporations.

8. Partners

Currently there are over 10 partnerships in the pipeline but some outstanding parties are listed as below:

Nebulas | (Currently) The Ended ICO and ranked 54th in coinmarketcap with $333,985,470 marketcap.

https://nebulas.io/

TV Azteca | Mexican Multimedia Conglomerate

http://www.tvazteca.com/

BlockFolks | Marketing

https://blockfolks.com/

Blockchain TechTeam | B2B Blockchain Solutions

https://blockchaintechteam.com/

The announced partners are not the best ones. However, DeepCloud AI is an early project and there are more partners coming soon according to the website.

9. The possibility in the future

According to Kevin Steele, a cryptocurrency enthusiast, an IT Professional with over 12 years experience, Deep Cloud AI creates a robust use case scenario allowing for two key engagement factors with their audience base, primarily:

AI based efficient resource allocation:

With the ability to further program, developers are able to program their applications and platforms to only use the appropriate infrastructure resources and not to waste network resources.

Flexible pricing & contract-less usage:

With the ability to utilize AI for allocation, the flexible pricing comes into play. Rather than lock in with lengthy and expensive contracts, consumers of resources will be able to setup AI driven, scaling allocation to ensure an efficient budget is utilized in DEEP tokens for long term usage within the Deep Cloud ecosystem.

10. Challenges

Many challenges affect the performance of a decentralized cloud infrastructure. From syncing between nodes, matchmaking algorithm, scheduling criteria, and fair incentives for any network contributors. Moreover, load balancing in the network and cost effective in terms of the market supply.

11. Verdict

In terms of technology idea, Deepcloud AI has a good but not new idea about a general purpose solution so it has many competitors like Storj, iXec, Golem, and SONM who did launch the same idea before. Deepcloud AI has a good ICO hardcap of $15 million with a reasonable bonus up to 25% for the private sale. In theory, such a general purpose solution should achieve a higher capitalization compared to specific ones. In terms of partners, there are some partners listed on the website; however, they are not the outstanding ones. We need to wait for others and real MVP in the future before making your own decisions.

Rate from Icogens.com:

HYPE RISK ROI TERM ICOGENS' SCORE MEDIUM MEDIUM MEDIUM SHORT MEDIUM

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HYPE: is defined as the level of concern over a project and its FOMO. This score is based on the number of people joining a project’s social channels such as Reddit, Telegram, Twitter, Facebook, Bitcointalk, Medium or Slack as well as the number of review articles produced by the third party.

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You are reading [ICO REVIEW] What is DeepCloud AI? An AI-driven decentralized cloud computing Infrastructure for the Future?, from Investment ICO.

source: icogens.com