Web3 Compute has a trusted problem, but the solution is obvious


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Web3 is promoting a digital revolution that will bring innumerable benefits to organizations. Decentralization promises to demolish the monolithic structures that support the Internet as it now exists, with important implications for finance, social networks and even the computer infrastructure that supports the digital economy.

Summary

  • Decentralized calculation has a great promise: cheaper, resistant to censorship and scalable for AI, while returning privacy and sovereignty in the hands of users.
  • Unlike AWS or Google Cloud, decentralized networks lack demanding or legal resources, leaving uncertain users about reliability.
  • The advantage of centralization is responsibility: cloud giants win today because they guarantee activity time, performance and compensation when things go wrong.
  • Web3 solution: Validation audits: incentive nodes, administered by the community, continuously verify the performance, reliability and correction of calculations.
  • With transparent audits, rethinking incentives and sanctions for dishonesty, decentralized calculation can rival, and even overcome centralized suppliers.

The possibility of a decentralized calculation has many anxious in advance, since it can bring incredible cost benefits when using inactive computer resources while avoiding censorship. More than that, it can provide improved scalability for artificial intelligence work loads, and admits ideals around privacy and sovereignty, which provides users with total control over their data.

But there is an outstanding challenge that we must overcome before we can fulfill this decentralized dream, namely, the need to establish confidence in decentralized calculation. The question is, how can this be done without the guarantees provided by cloud computing giants such as Amazon Web Services or Google Cloud?

Those giants of inherited cloud computing dominate the computer industry, even while they charge exorbitant prices for their services and have questionable records in terms of data privacy, simply due to the confidence they order. By offering service level agreements within a clear hierarchical structure, users are sure that they are obtaining the reliable and scalable calculation they need to feed their applications. If you pay the activity time of the premium, the guaranteed performance and the dedicated support, know that if they do not deliver it, you will have a legal resource.

Today’s cloud giants operate in a frame that allows you to apply contracts. Users know that inactivity time is an anomaly, and on the rare occasions in which it happens, they will be compensated by the problems caused. And if that compensation is not close, they have clear routes to seek the reward. That is why centralization is so powerful. Despite its limitations, it provides great guarantee and responsibility, which means protection for users.

Table of Contents

Trust is critical

As the cryptographic industry pushes change to web3 infrastructure and decentralized calculation, this centralized trust model does not apply. After all, web3 seeks to kill these intermediates and individual fault points, and redistribute power equally among its users, and that means that there is no obvious resource in the event that problems occur. Although it is an immensely exciting change, it leads to questions about how trust can be enforced. If web3 cannot establish trust, it is unlikely that it can displace centralized suppliers in an industry as critical as cloud -based calculation.

Instead of a massive data center operated by a rich and powerful corporation, decentralized networks have thousands, if not millions, of individual nodes, each with a little power to the network. When combining these resources, it is possible to make available to those who need them at lower costs, but those users also require guarantees.

For example, it is likely that a startup of AI with liquidity problems looking for a powerful GPU group considers that the idea of ​​a affordable decentralized computing network is attractive, but how can you know with certainty that the resources you pay are reliable? How can you verify your calculations? In a network where anyone can contribute with resources, how can you identify which nodes are reliable and reliable, and which could be slow and potentially even malicious?

The web2 model, based on sla and brand recognition required, simply does not apply to decentralized networks. In fact, the same idea is Anathema for Web3, because if it had a single entity that can enforce the guarantees that are made, that means having to accept the lack of privacy and the potential for censorship, promises to eradicate.

The issue of trust is critical that must be resolved; Otherwise, the growth of decentralized computation will be harmed by the lack of trust. An application that has millions of users worldwide needs to know that it can depend on its underlying servers, and if web3 cannot offer any guarantee, it will have few more options than trusting centralized infrastructure suppliers due to the strong guarantees they provide, even if their model undermines their own decentralized principles.

Creation of community trust with incentives

Fortunately, web3 offers an elegant solution that aligns with its central spirit. The answer is to design confidence through a decentralized audits system by nodes of validator encouraged and directed by the community.

Then, instead of having computation nodes that are treated by an organization like AWS, which can be sued if it breaks its promises, web3 must trust collective intelligence and surveillance of hundreds of network participants, rewarding them for their honesty and penalty not to tell the truth.

Individual validators, of which there could be thousands, can be encouraged to act honestly through rethinking mechanisms based on rewards. This will encourage them to assess and verify precisely the performance and reliability of each node. Collectively, these validators will monitor the entire network of computer suppliers, auditing them continuously. Your work will be to verify the correction of your calculations, measure your performance, latency and activity time, and identify any node dedicated to malicious behavior. Then, users will be able to observe the general consensus, and in this way, the validators generate confidence in the network.

To promote positive behavior, a “carrot and stick” approach is used. If any calculation node does not meet the expected level of performance or tries a fun business, the validators and the validates would quickly identify it, eliminating any incentive it may have. Meanwhile, the best performance nodes will be rewarded, improving their reputation and attracting more demand for the services they provide. In addition, the validators themselves will be penalized or rewarded, according to their honesty.

Anyone who knows something about Crypto will immediately recognize the validity of this model, since it is already used in innumerable stake test blockchains, where the validator nodes work together to verify the transactions. With the decentralized calculation, these validators will verify the calculations, creating a transparent trust system and manipulation proof that is as reliable as the SLA offered by AWS.

A HIGHER TRUST BASE

Decentralized audits by validator nodes are perfectly aligned with the web3 model. It is a model without permission, and just as everyone can provide computation to the network, anyone can become a validator, which means that it is fair for each participant. In addition, audits are completely transparent, with their processes and results published in the block chain so that anyone can verify.

The design of this system means that it is the best for each validator to act honestly, since they are encouraged to maintain an honesty reputation, so that they do not lose their rewards and lose their participation.

Building this frame is a challenge, without a doubt, with the need for solid verification algorithms, easy -to -understanding profiles and simple requirements for users to become validators and join the process. But once these frames are in operation, decentralized computing networks will be able to offer a higher base of trust and go beyond the limitations of current centralized cloud suppliers.

Prashant Maurya

Prashant Maurya

Prashant Maurya It is the co -founder and CEO of Spheron Network, which builds the world’s largest community computer battery for AI, web3 and agentic applications. Spheron leader, Prashant has promoted the product strategy, equipment growth and operations, allowing the platform to achieve real products, customers and income. Today, the network has more than 44,000 nodes in more than 170 GEO, with more than $ 100 million in distributed computing, and is growing rapidly. Before the Spheron Foundation, Prashant worked as a complete battery developer in Quaero and participated in the Algorand Tutoring program, where he produced work on decentralized maps based on blockchain. Your experience includes product management, product marketing and investment strategies, all aimed at promoting innovation in decentralized space.



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