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Ethereum is inefficient - it tends to take a lot of computing power for each single transaction. As a result, we see that during busy times, the gas fee can be as high as 180 gwei per single action.
One way to solve this is to make ETH more efficient with new computing models. This is what Gear.exe is currently doing.
Scroll down to see what they developed:
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π οΈ Deep-dive: How to make Ethereum more efficient?
Gear Technologies is a company dedicated to improving the development experience within the Web3 ecosystem. Their mission is to create tools and platforms that simplify the process for developers while addressing scalability, efficiency, and usability challenges in blockchain technology.
They launched standalone blockchain network, ViroNetwork last year with the robust features but was limited in its appeal due to its standalone nature, which lacked integration with widely adopted ecosystems like Ethereum.
Introduced this year, Gear.exe builds upon the foundation of ViroNetwork but is designed specifically to integrate seamlessly with Ethereum. This integration allows it to compose with Ethereum while retaining its core functionality as a computational and application platform.
Keynote by Nikolay Volf, Co-founder & CEO of Gear.exe. Watch the full presentation here.
The challenges of modern blockchains
Current blockchain systems, including Ethereum, face significant challenges in achieving efficient computation while maintaining decentralization. Ethereum operates as a monolithic system where all validators must verify every transaction. This approach, while secure, is inefficient and costly, even for simple transactions like transferring $1. It places a heavy burden on the network, which is not designed for diverse computational needs.
Finding optimal computational models
To address these inefficiencies, it's useful to explore optimal computational models. Traditional web servers are efficient and self-contained, capable of handling requests and storing data independently.
However, their lack of trustworthiness poses a problem in decentralized systems. Zero-knowledge proofs offer a solution by enabling verifiable computations without revealing the underlying process. ZKPs allow blockchain systems to replicate the efficiency of standalone servers with the added benefit of cryptographic trust.
Yet, ZKPs have limitations: their computational requirements are massive, resulting in inefficiencies and increased latency that hinder user experience.
Advancing with recursive Zero-knowledge proofs
Recursive zero-knowledge proofs build on this concept, enabling the chaining of verifications by embedding proofs within proofs.
This approach ensures that entire computational paths can be verified efficiently.
Liquid staking mechanisms, such as those offered by EigenLayer, complement recursive ZKPs by decentralizing validation. Stakeholders secure multiple operations while facilitating recursive proof generation, creating a robust foundation for trusted computation.
New architecture by Gear.exe
Gear.exe takes this concept further by reimagining the architecture of application platforms. It treats each application as a "mini roll-up," a self-contained unit with its own state and computation logic. These mini roll-ups form a "swarm," enabling highly parallelized and efficient processing.
Applications within Gear.exe can communicate in real-time, both with one another and with external entities like Ethereum and end-users. This design ensures interoperability and allows Gear.exe to handle a wide range of computational tasks without compromising performance.
Ethereumβs GPU
In this context, Gear.exe functions as the "GPU" for Ethereum, complementing Ethereumβs "CPU-like" design. Ethereum excels at general-purpose computation, but Gear.exe is optimized for handling tasks that require parallelization and scalability.
By augmenting Ethereum in this way, Gear.exe resolves computational bottlenecks and enhances the networkβs capabilities without introducing fragmentation, a common issue in Layer 2 solutions. Programs on Gear.exe maintain compatibility with Ethereumβs mainnet, ensuring seamless integration and accessibility.
User-centric features and enhanced accessibility
From a user perspective, Gear.exe introduces a reverse-gas model, which eliminates the need for users to hold funds to interact with applications.
Instead, application developers bear the cost of gas fees, significantly lowering barriers to entry for end-users.
The platform also supports advanced techniques like pre-confirmation, which streamline transactions and improve user experience. Together, these features make Gear.exe a powerful and user-friendly extension of Ethereumβs ecosystem, designed to address its limitations while setting a new standard for Web3 application development.
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