The Good Tech Companies - Redefining Data Availability for the Next Generation of Blockchain Applications with 0G Labs

Episode Date: July 11, 2024

This story was originally published on HackerNoon at: https://hackernoon.com/redefining-data-availability-for-the-next-generation-of-blockchain-applications-with-0g-labs. ... 0G Labs is a leading Web3 infrastructure provider, focusing on modular AI solutions. Check more stories related to web3 at: https://hackernoon.com/c/web3. You can also check exclusive content about #web3, #0g-labs, #michael-heinrich, #high-frequency-defi, #on-chain-ai, #0g-labs-founder, #web3-infrastructure-provider, #good-company, and more. This story was written by: @ishanpandey. Learn more about this writer by checking @ishanpandey's about page, and for more stories, please visit hackernoon.com. 0G Labs is a leading Web3 infrastructure provider, focusing on modular AI solutions. 0G claims to achieve throughputs of 50 GB/second, which is significantly faster than competitors. Its data availability system is designed to address the scalability and security challenges in blockchain technology. The platform is 100x more cost-effective than alternatives.

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Starting point is 00:00:00 This audio is presented by Hacker Noon, where anyone can learn anything about any technology. Redefining data availability for the next generation of blockchain applications with Zero-G Labs by Ashan Pandey. Today, we sit down with Michael to unravel the story behind Zero-G Labs, a company that's not just participating in the Web3 revolution but actively shaping its future. With groundbreaking solutions that promise to deliver unprecedented speed, scalability, and cost-effectiveness, Zero-G 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 allow Zero-G to achieve mind-boggling
Starting point is 00:00:40 throughputs of 50 gigabytes per second, dive into the architectural decisions that make their solution 100 times more cost-effective than alternatives, and uncover Heinrich's vision for enabling advanced use cases like on-chain AI and high-frequency DeFi. Ashan Pandey Hello Michael, welcome to our Behind the Startup series. You've had a successful journey with Garden, your previous venture in corporate well-being. What inspired you to transition from that space to creating Zero-G Labs, and how does your experience as a founder inform your approach to Web3 and blockchain technology? Michael Heinrich. Thank you for having me.
Starting point is 00:01:17 My journey with Garden taught me the importance of resilience and adaptability, especially during the pandemic. Transitioning to Zero-G Labs was driven by my passion for cutting-edge technology and a realization of the critical needs in Web3's growing data and AI infrastructure. By collaborating with other bright minds, such as our CTO Ming Wu, we identified the opportunity to address existing gaps. With Zero-G Labs, we're aiming to make high-performance on-chain needs such as AIA reality. Ashant Pandey. Zero-G Labs is positioning itself as a leading Web3 infrastructure provider, focusing on modular AI blockchain solutions. Can you explain the core concept behind OG's data availability system and how it addresses the scalability and security trade-offs in
Starting point is 00:02:02 blockchain systems? Michael Heinrich, Zero G Labs' core concept revolves around our novel data availability system, designed to address the 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 that to Ethereum, where data must be proven as available. And yet, traditional data availability solutions have limitations in terms of throughput and performance and are inadequate for high-performance applications such as on-chain AI.
Starting point is 00:02:41 Our approach with Zero-G DA involves an architecture comprising of 0G storage, where data is stored, as well as 0G consensus which confirms as being available. A random group of nodes is then selected from 0G storage and comes to consensus on data being available. To avoid issues in scaling, we can add infinitely more consensus networks, all managed by a shared set of validators through a process called shared staking. This allows us to handle vast amounts of data with high performance and low cost, enabling advanced use cases like on-chain AI, high-frequency DeFi, and more. Ashan Pandey. ZeroG claims to achieve throughputs of 50 gigabytes per second, which is significantly faster than competitors.
Starting point is 00:03:28 Can you dive into the technical details of how your platform achieves this speed, particularly in the context of decentralized node scaling issue? Michael Heinrich. One aspect of our architecture that makes us exceptionally fast is that 0G storage and 0G consensus are connected through what's known a sour data publishing lane. This is where, as mentioned, groups of storage nodes are asked to come to consensus on data being available. This means they are part of the same system, which speeds things up, but additionally, we partition data into small data chunks and have many different consensus networks all working in parallel. In aggregate, these make 0G the fastest out there by far.
Starting point is 00:04:04 Ashant Pandey. Your platform aims to be 100x more cost-effective than alternatives. How does OG's unique architecture, separating data storage and publishing, contribute to this cost efficiency while maintaining high performance? Michael Heinrich. OG's architecture significantly enhances 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 allowing for scalable, parallel
Starting point is 00:04:44 processing. By employing shared staking and partitioning data into smaller chunks, we achieve high performance and throughput without the cost overhead typical of traditional solutions. This architecture allows us to deliver a platform that is both cost-effective and capable of supporting high-performance applications like on-chain AI and high-frequency DeFi. Don't forget to like and share the story. Tip Vested Interest Disclosure. This author is an independent contributor publishing via our business blogging program. Hacker Noon has reviewed the report for quality, but the claims herein belong to the author. Hashtag D-Y-O-R. Thank you for listening to this Hacker Noon story,
Starting point is 00:05:22 read by Artificial Intelligence. Visit HackerNoon.com to read, write, learn and publish.

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