Recap — Bitcoin&Altcoin Türkiye AMA Session with DeepBrain Chain
On 5th of July, 2021, in our community Bitcoin&Altcoin Türkiye TG Group we held a live AMA session with Mr. Feng He from DeepBrain Chain (https://www.deepbrainchain.org/) Team. Mr. Feng is Founder of the project and answered all of our questions and helped us to get our answers.
AMA session started with greetings and introducing our guest to the community. On the second part, Bitcoin&Altcoin Türkiye asked their questions to Mr. Feng and got perfect answers. On the last part, we gave 5 mins to our community to ask their questions and opened live chat for a 5 mins. During this period Mr. Feng get more than 350 questions from community which is the record of all time and answered 10questions from community.
Q&A Session 1 — Questions From Bitcoin&Altcoin Türkiye
Q1: First of all thank you for accepting our invitation and welcome to our community, can you please introduce yourself and your project?
A1: I am Feng He , the founder of DeepBrain Chain. I graduated from Ocean University of China in 2008 with a bachelor degree in Computer Science, briefly worked at the Chinese Academy of Sciences, and then went to East China Normal University for a master’s degree in Bioinformatics (I dropped out of school in 2010 to start my own business).
I have always been fascinated by AI technology, and when I was a graduate student, I also used AI technology to do genetic data analysis, so I can say that I have been developing AI technology application early. Later, I started my own business to try to implement AI technology into real products. From 2011, we started our business in the field of artificial intelligence, and have taken $8 million investment from Qihoo 360, Gobi, JD, GSR and other investment institutions. At the end of 2011 we released China’s first smart voice assistant — Smart 360, in 2014 we released the world’s first voice interaction AI speaker — Xiaozhi Super Speaker (six months earlier than Amazon Echo, 3 years earlier than DuerOS speaker), in 2017 I founded DeepBrain Chain, and has been working on it til today.
DeepBrain Chain was founded in 2017 with the vision of building an infinitely scalable distributed high-performance computing network based on blockchain technology, in order to become the most important computing infrastructure in the era of 5G+AI+metaverse. DeepBrain Chain contains three important parts: high-performance computing network, blockchain mainnet and GPU computing mainnet. High-performance computing network officially launched at the end of 2018, blockchain mainnet on May 20th, 2021, after nearly 4 months of public testing, GPU computing mainnet will be officially launched this month.
The mainnet of DeepBrain Chain is developed based on PolkaSubstrate, and DeepBrain Chain is also one of the very few high-performance computing projects in the blockchain industry that have achieved large-scale implementation. It has been widely used in various scenarios such as artificial intelligence, driverless vehicles, cloud games, visual rendering, biopharmaceuticals, etc. It has provided high-performance GPU computing power for many enterprises, and cumulatively more than 50 vendors worldwide have deployed high-performance GPU cloud platforms based on DeepBrain Chain network, serving hundreds of enterprises and tens of thousands of AI developer groups. For example, China’s cloud game vendor NetEase Cloud Game uses GPU resources from DeepBrain Chain, China’s leading driverless company AutoX is testing GPU resources from DeepBrain Chain, China’s leading cloud game solution provider TingYu Technology is cooperating with us, Beijing University, Tsinghua University and Harvard University have students and teachers using DeepBrain Chain’s GPUs for AI training.
Q2: I am sure most of our community members don’t know what high performance computing is, can you please tell us more about this and how DeepBrain can integrate this to blockchain?
A2: DeepBrain Chain network of high-performance computing power is currently mainly only using GPU as the core of high-performance computing resources, in the future we may include NPU/TPU, or even quantum computing; but the current view is that it will be dominated by GPU for quite a long time, the current market value of high-end GPU chip manufacturers Nvidia has nearly three times the market value of CPU chip manufacturers Intel, the reason is that with the development of various emerging industries such as 5G, artificial intelligence, life sciences, autonomous driving, meta-universe, these industries need very powerful computing power, currently GPU is the best choice, but GPU computing power resources are very expensive.
Based on blockchain technology, DeepBrain Chain (DBC) created an infinitely scalable distributed high-performance computing network, the world’s idle GPU resources can independently join the DBC network, customers worldwide can also rent the GPU computing resources of the DBC network, and every transaction data is available on the chain, to promote the popularization and civilianization of AI computing resources, while promoting the blockchain technology on the ground to serve more real industries, it’s not just transactions of monetary value, after more than four years of research and development and commercial operation, this path has proved to be totally feasible.
Q3: Which public chain ecology is DeepBrain Chain mainly based on? We know that the mainnet of DeepBrain Chain is now online. What are the differences?
A3: DeepBrain Chain mainnet is developed based on PocaSubstrate, and DeepBrain Chain itself is an application chain focused on artificial computing, focusing on application as well as commercialization.
Q4: China is a leading country in AI technology and AI will play a very important part in our life in near future. Can you please tell us more about what AI can change in our daily life, what kind of benefits it will give to us? As you can imagine, everyone knows what AI is, but don’t have any understanding about it.
A4: We often use Tiktok, on the app there will be a variety of special effects, these effects use computing and GPU computing resources; the current hot topic ‘’meta-universe’’, if you want to achieve that you need to use the cloud VR and AR rendering to achieve a realistic simulation of the real world, and these need powerful GPU distributed around the world to support the computing needs; we look at Hollywood blockbusters, they also need powerful computing power; and the future L4 level of fully autonomous driving also needs huge computing power.
Q5: Another important question is tokenomics. Our community wants to know more about the tokenomics of your project. Can you please share the details with us?
A5: DBC has 10 billion DBC tokens in total, 40% of which will be distributed as online rewards to the computing power providers, 10% will be rewarded to the early computing power providers that provided computing power on DBC network before the mainnet went online, that is to say, 50% of the tokens are allocated to computing power providers. The team has 1 billion DBCs, which will be unlocked in ten years on average, and the Council has a total of 2.5 billion, which will be unlocked in nineteen years, so the reason for doing this is to have enough patience for DBC. At present the total circulation of DBC is more than 4 billion.
DBC computing power provider’s rewards consist of two parts: supernodes block producing rewards and computing power provider online rewards, the first three years are 100 million and 400 million DBC respectively, from the third year on the amount is halved, after that the amount is halved again every five years.
Supernode pledge: currently there are 31 supernodes, tentatively 10 nodes will be added each quarter.
Each node first need to pledges DBC tokens to participate in the supernode election;
Any DBC holder can pledge DBC to vote for the node, and rewards are also given to voters;
The top 31 nodes voters can become supernodes, the election is held every 24 hours.
GPU power provider pledge rules:
From 0 to 10,000 GPUs, 100,000 DBCs are pledged per GPU.
Starting from 10,001 GPU, the formula for the total number of DBC that needs to be pledged is:
1 billion + 100,000 x (10000/10001 + 10000/10002 + ∙∙∙∙∙∙∙∙∙∙ + 10000/(10000+n)).
If the above formula is accounted for and a single GPU is pledged at 1,500 USD 50,000 RMB, then the pledge is calculated at 1500 USD 50,000 RMB.
Example of the number of single GPU pledges:
Assuming that n0000 shows the first 1000 GPUs after 10,000, then the number of pledges for the 11000th GPU is: 100,000 x 10000/11000.
DBCs pledged by each graphics card need to be pledged for at least 365 days; when the machine is online for more than 365 days and no user uses it for more than 10 days, you can exit the pledged, take the machine offline and release the pledged DBC within 3 days, and the previously obtained rewards will continue to be released linearly.
There is also the deflationary model, which is the DBC burning rule.
When the DBC network reaches 5,000 GPUs across the network, 100% of the rents paid by users after activation are destroyed, which means DBC will enter a deflationary state. So reaching 5,000 GPUs in the DBC network will be an important milestone!
Q6: When we check the roadmap in your website, it says next month your mainnet will be launched officially, congratulations! But we can’t see further plans, can you please share with us your future plans and project’s new era roadmap?
A6: The mainnet of DeepBrain Chain has been online since May this year, and GPU DeepBrain Chain computing network has passed the security audit and will be officially online at the right time this month. GPU customers all over the world can rent GPU resources of DeepBrain Chain network, or deploy AI cloud platform based on DeepBrain Chain network to serve local AI enterprises, to some extent, DeepBrain Chain opens up the industry chain structure of cloud computing for others to join, which was originally monopolized by only a few giants. The launching of GPU DeepBrain Chain computing mainnet also means that the development work mentioned in the DeepBrain Chain whitepaper has been basically completed, and now the more important work is to build the DeepBrain Chain computing ecosystem, so that more computing pools can join the DeepBrain Chain network and more AI cloud platforms can be expanded. The platform will sell the GPU power on DBC network to realize a complete closed business loop. Eventually DBC’s computing network will become the most important high-performance computing infrastructure in the era of AI+ metaverse.
Q7: Now the hot spots in the market may be more on NFT, Metaverse and Gamefi. Will DeepBrain Chain develop business in these areas afterwards?
A7: You may not be aware that the distributed high-performance computing network built by DeepBrain Chain is one of the key supporting technologies of the meta-universe. Among the six supporting technologies of metaverse (blockchain technology, Internet of Things technology, interaction technology, video game technology, artificial intelligence technology, network and computing technology), four of them are closely related to DeepBrain Chain, and the cloud game, which is the key service area of DeepBrain Chain, is the necessary path to the metaverse era. The distributed high-performance computing with GPU as the core is becoming an indispensable part of the closed loop of the future meta-universe ecosystem, and DeepBrain Chain has been working in this field for nearly four years and has become the undisputed leader in this space.
Q8: What is the difference between DeepBrain Chain and traditional cloud computing companies?
A8: DeepBrain Chain uses blockchain technology to build a new production relationship and innovatively solve the problem of computing power supply; by reconstructing the cloud computing industry chain, it turns a closed system dominated by giants like cloud computing into an open system where everyone can participate in common construction and share benefits, and jointly build the infrastructure in the era of 5G+AI.
Advantages of DBC: Due to the development of 5G+AI technology and the rise of edge computing, the demand for edge-side computing (high performance, high density, low latency, low cost and full coverage) is getting stronger and stronger, and the traditional mega data centers can no longer meet the demand of business development, and it is necessary to schedule and manage data centers of different levels (cloud nodes, metropolitan nodes and edge nodes), so it is urgent that we create an unified distributed computing network to better meet the business demand and at the same time improve the efficiency of computing resources utilization, which is where the advantages of blockchain technology lie.
Q9: After so many years of technology accumulation, what unique advantages does DeepBrain Chain have?
A9: The uniqueness of DeepBrain Chain lies in its being an artificial intelligence public chain, because all the technology research and development is for this positioning, and the main technical innovations are as follows:
Decentralized AI Cloud OS
The underlying technology platform Decentralized AI Cloud OS has all codes as completely self-developed technology;
Responsible for linking computing and storage resources, realizing communication, scheduling and failure recovery among computing resources.
Supporting seamless migration to lightweight IOT devices such as ARM and future migration of computing power to IOT devices.
Building a decentralized AI cloud computing platform based on top of this technology platform.
Completely decentralized AI computation network. ‘’AI Cloud Computation Network’’
One-stop solution, the most optimized AI software platform, supporting all mainstream deep learning frameworks in the industry: TensorFlow, MXNet, PyTorch, Caffe, CNTK, H2O, etc..
Support for multi-AI tasks with parallel start-up execution capability.
Flexible hourly billing model to achieve true on-demand billing.
Open docker computation architecture, second-level deployment and startup, elastic expansion of computing capacity.
The traditional physical GPU server requires a week to install and deploy the application, in the platform it is one-click deployment and one-click to start training, the time is reduced to seconds.
AI docker: Elastic AI Docker computing capabilities, open custom docker image capabilities.
Docker Tech: secure docker enhancement technology.
Ubiquitous decentralized AI computing network: support highly elastic scaling, support massive network system architecture from 10 nodes to 100 million nodes.
Hybrid Multi-Layer Stack Network: a multi-layer network architecture of unstructured, loose P2P peer-to-peer network + structured hybrid P2P network.
Decentralized Virtual Tunnel Network: construction of virtual Layer 2 switching and Layer 3 switching encrypted tunnel network under decentralized network architecture.
Multi-path message routing mechanism.
Efficient compression + scalable self-encoding protocols.
Millisecond-scale peer-to-peer communication infrastructure.
Network support for IPV6 network evolution.
Geo-aware AI inference-based network architecture for more resilient edge computing.
Infinitely scalable decentralized storage network.
Geo-awareness-based distributed storage system.
Q10: What are the application scenarios of DeepBrain Chain?
A10: Artificial intelligence, driverless cars, cloud game, visual rendering, biopharmaceutical market, these are the application scenarios of DeepBrain Chain, among which the cloud game, cloud rendering and cloud XR that we are serving are the embryonic paths.
Q11: Finally, tell us about the current project progress and follow-up plans, as well as some airdrops or event information that everyone is looking forward to.
A11: We will continue to expand the DBC computing ecosystem globally, continuously strengthen the supply side of the DBC computing network, encourage more computing pools, computing workers to join the DBC computing ecosystem, while further expanding the demand side of more ecosystem partners, enterprises to deploy GPU cloud based on DBC, renting out GPU computing power; empower more industries to build and share the world’s largest distributed high-performance computing, and thus achieve co-integration and coexistence of industries to help artificial intelligence, meta-universe era push forward.
At the same time we are also working to list DBC on more globally renowned exchanges.
Q&A Session 2 — Questions From Community
Q1: While you build your project, do you take into account community feedbacks and demands?
A1: Yes, we have been paying attention to the needs of the community and our artificial intelligence developer users and enterprise users, and provide them with the best GPU services
Q2: I would like to invest in long term, but how can your team assure me that this project is secured and PROFITABLE?
A2: We have been through a complete bull-bear cycle in the chain industry for 4 years. The tokens of our own team are unlocked in 10 years. This is also our confidence in dbc. Whether a project is a goal depends on whether there are real users. The tokens of the purchased project are used in the ecosystem. dbc has already practiced this. You can refer to the website:https://galaxyrace.deepbrainchain.org/
Q3: You’re talking about the meta universe. Will you use user data in this universe? What do you do for data security?
A3: What we provide is gpu calculation, which renders the scenes in the game, this does not involve user data security issues
Q4: What are the key milestones on your roadmap — both things you have already achieved and things that we can look forward to? Any partnerships and short/long term technical milestones that you want to talk about or bring some attention to? Please share with us.
The DeepBrain Chain was established, defining the objectives and vision as well as the technical architecture.
DBC launched on Huobi.pro.
DBC computing power network goes live and the code is open sourced on GitHub. (https://github.com/DeepBrainChain)
DBChain, the first cloud platform based on DeepBrain Chain, goes live. (https://www.dbchain.ai)
The first DeepBrain Chain-based enterprise cloud platform, Congtu Cloud, goes live. (https://www.congtu.cloud)
DBChain global AI developer users exceed 10,000, serving more than 500 AI-related universities and labs worldwide.
DeepBrain Chain node mainnet officially launched. (https://www.dbcwallet.io)
DeepBrain Chain mainnet browser goes online. (https://dbc.subscan.io)
The number of GPU cloud platforms based on DeepBrain Chain exceeds 50.
DeepBrain Chain GPU computing power mainnet starts public testing.
Congtu Cloud enterprise customers exceed 100.%
Total number of GPU computing power in the public test exceeds 1200 cards, and the rental rate is over 98%. (https://galaxyrace.deepbrainchain.org)
DBC GPU mainnet will launch officially.
Q5: Lately we’ve seen many projects adopt buyback-and-burn programs to support long term price stability and value growth. What do you think about it? Have you thought about incorporating this program? Or will your project use other strategies to ensure price stability?
A5: When the dbc network has more than 5,000 GPUs, the monthly dbc of 800,000 US dollars will be destroyed, if any, the monthly dbc of 8 million US dollars will be destroyed. And the more machines there are, the more dbc pledged. A gpu needs to pledge 100,000 dbc.
Q6: Staking is the new trend. What staking options are available for $DBC token? Are there any incentives for staking? What are the various ways to earn $DBC token and are there any limits to amount of $DBC I can earn?
Q7: People always check about safety and security from any project because much hack issue right now, I would like to know how is the safety from your project? How did you make sure that you are secure?
A7: After each version upgrade, a security audit company will conduct an audit, and the new version will be launched only after the security audit is passed
Q8: Many new projects initially developed well but were suddenly abandoned. How will DeepBrain manage the project to maintain its position in the market and become a good project in the blockchain world?
A8: Dbc has been in development for 4 years and has experienced a complete bull-bear cycle in the blockchain industry. 95% of the projects we created at the same time 4 years ago are dead, but we are still alive and well. We have not only realized the technology mentioned in the white paper, but also dbc has truly served users and produced actual value. The dbc network now has 1,200 GPUs. These GPU servers are worth more than 8 million U.S. dollars. They generate rent every month. When the number of GPUs exceeds 5000, a large amount of dbc will be destroyed every month.
Q9: How important is the community to Your project? and How can we collaborate or help share token for the development of the project?
A9: The dbc has a council system. The board has the right to use 50 million dbc every year. For a total of 15 years, any community member can become a member of the board by voting, and any community member of the board can apply for the development of the dbc ecology.
Q10: Right now issuing a token is a rather simple process. However, building the system and ecosystem is the most difficult part. My question is, How will the demand of the token will increase and how will this token use within the ecosystem?
A10: Yes, the key issue is that if you build a valuable product, dbc, after 4 years of development and user expansion, has now served many real users, and renting out GPUs every month will generate rent.