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Redefining Data Availability for the Next Generation of Blockchain Applications with 0G Labs
Today we sit down with Michael to reveal the story behind 0G Labsa company that is not only participating in the Web3 revolution, but actively shaping its future. With revolutionary solutions that promise to deliver unprecedented speed, scalability, and affordability, 0G Labs is positioning itself at the forefront of the next generation of blockchain technology.
In this exclusive interview, we’ll explore the technical innovations that enable 0G to reach staggering speeds of 50GB/second, dive into the architectural decisions that make their solution 100x more cost-effective than alternatives, and uncover Heinrich’s vision for enabling advanced use cases like on-chain AI and high-frequency DeFi.
Ishan Pandey: Hi Michael, welcome to our Behind the Startup series. You had a successful journey with Garten, your previous corporate wellness venture. What inspired you to move from that space to start 0G Labs, and how does your experience as a founder inform your approach to Web3 and blockchain technology?
Michael Henry: Thank you for having me. My journey with Garten has taught me the importance of resilience and adaptability, especially during the pandemic. The move to 0G Labs was driven by my passion for cutting-edge technology and an awareness of the critical needs in Web3’s growing AI and data infrastructure. By collaborating with other bright minds, like our CTO Ming Wu, we identified an opportunity to fill the existing gaps. With 0G Labs, we aim to make high-performance on-chain needs like AI a reality.
Ishan Pandey: 0G Labs is positioning itself as a leading Web3 infrastructure provider, focusing on modular AI blockchain solutions. Can you explain the fundamental concept behind 0G’s data availability system and how it addresses scalability and security tradeoffs in blockchain systems?
Michael Heinrich: The core concept of 0G Labs revolves around our new data availability system, designed to address scalability and security challenges in blockchain technology. Data availability ensures that data is accessible and verifiable by network participants, which is important for a wide range of use cases in Web3. For example, Layer 2 blockchains like Arbitrum handle transactions off-chain and then publish them to Ethereum, where the data must be proven to be available. However, traditional data availability solutions have limitations in terms of throughput and performance and are inadequate for high-performance applications like on-chain AI.
Our approach with 0G DA is an architecture consisting of 0G Storage, where the data is stored, and 0G Consensus that confirms it is “available.” A random group of nodes are then selected from 0G Storage and reach consensus on whether the data is available. To avoid scalability issues, we can add infinite consensus networks, all run by a shared set of validators through a process called shared staking. This allows us to manage large amounts of data with high performance and low cost, enabling advanced use cases like on-chain AI, high-frequency DeFi, and more.
Ishan Pandey: 0G claims to reach 50GB/sec throughput, which is significantly faster than competitors. Can you elaborate on the technical details of how your platform achieves this speed, especially in the context of the decentralized node scaling problem?
Michael Heinrich: One aspect of our architecture that makes us incredibly fast is that 0G Storage and 0G Consensus are connected via what’s known as the Data Publishing Lane. This is where, as mentioned, you ask groups of storage nodes to come to a consensus on the availability of the data. This means they’re part of the same system, which speeds things up, but in addition, we break the data into small chunks of data and have many different consensus networks all working in parallel. Overall, this makes 0G the fastest out there by far.
Ishan Pandey: Your platform aims to be 100x more cost-effective than alternatives. How does 0G’s unique architecture, which separates data storage and publishing, contribute to this cost efficiency while maintaining high performance?
Michael Heinrich: 0G’s architecture significantly improves cost efficiency by separating data storage and publishing into two distinct lanes: the Data Storage Lane and the Data Publishing Lane. The Data Storage Lane handles large data transfers, while the Data Publishing Lane focuses on verifying data availability. This separation minimizes the workload on each component, reducing the need for extensive resources and enabling scalable parallel processing. By using shared staking and partitioning data into smaller blocks, we achieve high performance and throughput without the overheads of traditional solutions. This architecture allows us to provide a platform that is both cost-effective and capable of supporting high-performance applications such as on-chain AI and high-frequency DeFi.
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Disclosure of vested interests: This author is an independent contributor who publishes through our corporate blogging programHackerNoon has reviewed the quality of the report, but all claims made herein are the author’s own. #DYOR.