Is the deep brain chain in the high performance computing track an immediate need in the Web 3.0 era?

The market needs a low-cost, high-performance unified decentralized computing network solution.

Is the deep brain chain in the high performance computing track an immediate need in the Web 3.0 era?

In recent years, with the increasing maturity of Internet infrastructure, the fields of big data analysis, Internet of everything and artificial intelligence are developing rapidly with geometric growth trend. According to statistics, China’s artificial intelligence market size has exceeded 400 billion RMB in 2020, with an average compound growth rate of 40%.

The development rate of foreign institutions is not to be underestimated, top AI agency Tractica predicts that the total global market for AI-driven hardware and software infrastructure will grow to $115.4 billion in 2025. Of that, AI cloud infrastructure will account for 70 percent.

Yes, underpinning all of this is massive amounts of computing power. Traditional mega data centers can no longer meet the market demand, the need to schedule and manage different levels of data centers (cloud computing nodes, metro nodes, edge nodes), the market needs a low-cost, high-performance unified decentralized computing network solution.

Decentralized high-performance computing network DBC
Traditional cloud computing consists of three parts: compute, storage, and CDN (content delivery network). The leader in the storage track is Filecoin, and the old guard Arweave and Storj are also performing well. Looking at the CDN space, Theta is a standout. In terms of computing, DFINITY, which just recently launched its main network, dominates the CPU computing territory, while there are many representative projects in the GPU computing field, and Deep Brain Chain is one of them.

Compared with the CPU computing of DFINITY, GPU focuses more on high performance computing, especially for the field of artificial intelligence, and the deep learning algorithm behind it is very compatible with GPU computing. Whether it is AlphaGo, which plays with top human chess masters, or the intelligent robot “Xiaodu” that accompanies us every day, it seems that the scene full of artificial intelligence and everything can be interconnected is close at hand. In addition, autonomous driving, biopharmaceuticals, artificial intelligence, cloud games, blockchain and many other scenarios require the support of high-performance computing power. Nvidia’s market value surpassed Intel last year, which also marks the mainstream trend of traditional cloud computing moving from CPU to GPU. Especially in the visual rendering track, the current global annual market volume is above 200,000 GPUs.

DBChain is an open source GPU computing pool and GPU cloud platform, and all the idle GPU computing resources worldwide can freely join DBChain computing network. ecological closed loop. The core of Deep Brain Chain is to crack the problem of expensive AI computing power and realize the infinite expansion of massive computing power, so as to promote the popularization and civilianization of AI computing power and accelerate the progress of human society towards intelligence.

There are already more than 6000 GPUs in the DBC network, and the number of nodes in the network will increase as the construction of the arithmetic ecology begins. Each year, 400 million DBCs are awarded for building the computing ecosystem to incentivize high-performance computing providers and attract more GPU resources to the ecosystem.

In the future, when ETH 2.0 is launched, the network consensus protocol will change from PoW to PoS mechanism, and the graphics cards in the original Ethernet network will probably become idle resources. Among them, high-end graphics cards may also participate in the deep brain chain for arithmetic ecological construction.

From NEO to Substrate application chain
Previously, the Deep Brain network was built in the NEO ecology and implemented with smart contracts. However, the limitation of smart contracts makes many complex functions difficult to implement. Now, Deep Brain has moved to the Polkad ecosystem.

From the security point of view, Polkadot network implements a shared security model, and Substrate chain can join Polkadot’s system to share the security of the relay chain if it gets a slot in the parallel chain.

As the underlying development framework of Deep Brain Chain, Substrate Application Chain can realize the full customization of Deep Brain Protocol and implement the business logic of Deep Brain Network in depth. At the same time, Substrate Application Chain gives Deep Brain Network the ability to interoperate with other application chains through IBC and XCMP, and the transfer bridge facility of Poca ecology is also ready, which enables Deep Brain Chain to interact with other existing public chains. In addition, the governance mechanism of Polka is relatively sound and the ecology is huge, and there are integration points with Deep Brain’s business, and the combination of protocols will produce unpredictable synergy effects.

The stability of the underlying layer brings the development of the ecology, which is widely used in various scenarios such as blockchain, artificial intelligence, cloud games, visual rendering, biopharmaceuticals, semiconductor simulation, etc. It provides cost-effective GPU arithmetic for many enterprises, and accumulatively nearly 50 vendors (developers) worldwide deploy high-performance GPU cloud platforms based on Deep Brain chain network, serving hundreds of enterprises as well as tens of thousands of AI developer groups.

Governance of decentralized arithmetic network
Deep Brain Chain will go to decentralized governance after the main network goes online, and the opinions of the community members will play a more important role in the Deep Brain protocol, and the future technology development, market promotion, development strategy, etc. will be governed by the decentralized governance platform of Deep Brain Chain. Any user who holds DBC tokens has the right to make proposals, which can be anything, and whether the proposals will be implemented or not will be done automatically through community voting.

For example, DBC token holder A is a technical developer and thinks that feature X is very important for Deep Brain Chain, and he has the ability to develop it. At this point, the technical person will launch a proposal, which will describe in detail the importance of the feature requirement for Deep Brain Chain, and then launch a vote in the community to obtain development funds. Ultimately, all community members who hold DBC tokens can vote and decide whether to fund the proposal.

Then again, any mechanism improvement or major product feature deployment regarding the development of DBC network will also be voted by the community. All changes to the DBC protocol will be done in a decentralized manner.

The ultimate goal of Deep Brain Chain Foundation is to complete the complete decentralization of DBC governance after the first anniversary of the main network launch. The DBC community has created a fair and free platform for all Web 3.0 era entrepreneurs.

DBC Token Economic Model
The value of DBC tokens is related to the number of GPUs rented in the DBC network, the more GPUs rented, the higher the value of DBC.

The destruction ratio of each GPU server rental transaction amount is 100% for users. For high performance computing providers, each graphics card requires a pledge of a quantitative amount of DBCs and a lock-in. Take the upcoming Galaxy Contest for arithmetic power as an example, each graphics card in the Galaxy Contest pledges 100,000 DBCs and needs 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, the pledge can be withdrawn to stop the ecological construction of arithmetic power, and the pledged DBCs will be released within 3 days, and the rewards previously obtained will continue to be released linearly.

When the number of pledged GPUs of graphics cards in the network exceeds 10,000 cards, the number of pledged DBCs of new graphics cards will be adjusted automatically, based on the number of mobile DBCs and the price of DBCs. Starting from 10001 cards, the formula for the total number of pledges per card is: 100,000 x 10000/n; if a single card pledge exceeds RMB 50,000 according to the above formula, then the pledge will be calculated at a maximum of RMB 50,000.

If there are 5000 cards in the whole network, there will be 500 million DBCs locked up, and at the same time, there will be 5 million RMB rent for destroying DBCs every month, and according to the calculation of DBC price of 0.1 RMB, 50 million DBCs will be destroyed every month, and more than 600 million DBCs will be destroyed every year; in the process of actual completion of pledging and destruction, the The higher the DBC price is, the less DBCs will be destroyed in a single card per month.

This token economic model not only ensures the deflationary trend of the total DBC as the value support, but also ensures the stability of the circulation disk, thus ensuring the sustainable development of the DBC network.

In order to give back to the early GPU contributors of Deep Brain Chain, Deep Brain Chain is expected to start the Galaxy Power Contest after June 23rd, 2021 Beijing time. The contest is open to any high performance computing provider, as long as the graphics card meets the requirements. After 10:00 on June 23, the contest will start as soon as the number of graphics cards of the main network participating in the pledge of computing power eco-building machines is greater than or equal to 5,000 at any moment. The Galaxy Power Contest will last for 1 month. The DBC team will give an extra 30 million DBCs as a reward to the top 5 pools, which will be distributed according to the percentage of computing power.

The following are the minimum requirements for the participating GPU servers.

1) GPU: 2 or 4 cards; Nvidia Nvida series graphics cards with a minimum requirement of 8G video memory; taking into account the rental rate, the type of graphics card recommended is 2080ti, 3060ti, 3070, 3070ti, 3080, 3080ti, 3090, etc.

2) Memory: 448 G (4 cards) or 224 G (2 cards), (calculation formula: number of GPUs * 112).

3) CPU: 2 cards – 1 CPU, 4 cards – 2 CPU, Intel, V3 or above, 2.5Ghz, 3.0Ghz and above, single CPU 10 cores and above.

4) Hard disk: system disk 512g (SSD), data disk 2T (mechanical hard disk).

(5) network bandwidth: 2 cards – 10M//table or more; 4 cards – 20M/table or more.

(6) independent fixed IP;.

(7) the machine is placed in a standard data center T3 level or higher to maintain network and electrical stability.

Only GPU servers that meet the minimum requirements can be awarded. The number of GPU CUDA Cores affects 70% of the total number of GPU CUDA Cores and 30% of the total video memory.

It should be noted that the number of DBC online rewards is allocated in equal proportions according to the share of the arithmetic power provider in the DBC network-wide arithmetic power value. 4 elements affect the DBC online rewards: GPU arithmetic power value, number of GPUs online, number of GPUs online under a single DBC wallet, and GPU lease status.

a. GPU Algorithm value calculation formula.

Arithmetic value = 13 + 0.7 x √(number of cuda) + 0.3 x video memory/24 x √(number of cuda)

b. The number of GPUs online under a single DBC wallet, for each additional GPU, the arithmetic value of all machines increases by 0.01% until it increases by 10%.

c. Online leased status: the arithmetic value increases by 30% if GPUs are leased.

Just like the hackathon in the DeFi ecosystem, the Galaxy competition not only allows players to understand the deep brain chain on the one hand, but also screens out loyal users for the project.

As a decentralized computing track through the bulls and bears, Deep Brain Chain is achieving large-scale landing. And with the launch of the main network, let’s wait and see how Deep Brain Chain will perform in the Web3.0 world.

Posted by:CoinYuppie,Reprinted with attribution to:https://coinyuppie.com/is-the-deep-brain-chain-in-the-high-performance-computing-track-an-immediate-need-in-the-web-3-0-era/
Coinyuppie is an open information publishing platform, all information provided is not related to the views and positions of coinyuppie, and does not constitute any investment and financial advice. Users are expected to carefully screen and prevent risks.

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