As the team on this project argues, the future is in modular architecture, where execution is separated from data availability and consensus (such as tomorrow’s Eth2 or Celestia). This separation allows for specialization of the base layer, providing a significant increase in throughput, I began to notice that the projects I was considering increasingly overlapped with each other, which tells me I’m making the right choice!

What is the peculiarity of this project? Let’s find out!

1. Parallel transaction executionFuel delivers unmatched processing capacity through its ability to execute transactions in parallel by using strict state access lists in the form of a UTXO model. This enables Fuel to use far more threads and cores of your CPU that are typically idle in single-threaded blockchains. As a result, Fuel can deliver far more compute, state accesses, and transactional throughput than its single-threaded counterparts.What does this mean? As I understand it, more computer resources are used to process transactions, which increases the processing speed2.

2. Fuel Virtual Machine (FuelVM)Designed to reduce wasteful processing of traditional blockchain virtual machine architectures, while vastly increasing the potential design space for developers. The design learns from the mistakes of the past and insights from years of production blockchains.That is, this project uses a virtual machine in order to increase the space for developers to work, which will allow the blockchain to constantly evolve, which in my opinion is quite good!

3. Sway LanguageFuel provides a powerful and sleek developer experience with our own domain-specific language, called Sway, and a supportive toolchain, called Forc. Our development environment retains the benefits of smart contract languages like Solidity, while adopting the paradigms introduced in the Rust tooling ecosystem.Fuel uses a new programming language called Sway, heard about it before, it is based on the Move language that Aptos is built on, and adapted to the target tasks, is this good? perhaps it is a specialized language used specifically for blockchain creation, but at the same time, it limits the number of developers who can be involved, because not everyone has time to switch to it, but in general I think this is more plus than minus!

Why Modular Execution?

1. Monolithic BlockchainsMonolithic layer-1s don’t separate execution from consensus, settlement and data layers, constraining the total bandwidth available.I can’t tell you for sure if this is true or not, but let’s look at other Fuel labs arguments

2. Modular Execution LayersModular Execution Layers are designed for high-bandwidth modular blockchains and can better capitalize on high shared data availability.Modular Execution Layers, sounds good, that is, this product is focused on new solutions that focus on scaling and increasing throughput and its mechanism helps to further increase their efficiency, I have a question, this product is designed for blockchain layer 1 or 2? with this I have yet to figure out

Investors

Now look at the investment of the project, below you can see the funds that considered the project worthwhile, many of them have a significant position.

In the following table you can see what projects Fuel labs works with:

Events

On November 4, in Lisbon, there was a large gathering of projects where Fuel organized a contest for hackers to improve the project, I like these solutions, using people from outside is always useful, helps to identify the shortcomings of the project + shows its openness, which disposes to itself!

Conclusion

My conclusion and forecast, it looks pretty good, tools to improve something will always be in demand, I like the idea, but need to look in the long term future, whether it will be relevant, and also I would like to see the project litepaper, as well as tokenomics, but so give the project likes, will follow and participate in the life of the project.

Project social media:

GitHub: https://github.com/fuellabsTwitter: https://twitter.com/fuellabs_Blog: https://fuel.network/blog

Nubit enables the scaling of Bitcoin’s data capacities, empowering applications like Ordinals, Layer 2s, and price oracles, thus broadening the scope and efficiency of the Bitcoin ecosystem.

They already raised upto $12 Million to build a scalable and the first Bitcoin-native data availability layer. They are backed by Polychain , OKX Ventures and few others.

However, being the first native Data availability layer built specifically for Bitcoin, it is important to pay attention. They’ve recently patnered with Babylon_chain to build a Consensus Layer backed by BTC-Native Staking.

Data Availability Layer is a blockchain component ensuring that the transaction data is easily accessible and verifiable.

They recently announced the launch of their Alpha testnet and Incentivized campaign.

The Nubit Alpha Testnet is ongoing and already live, Here’s how to begin :

The Campaign will be in three phases, The first one will be Community Assemble which is active at the moment.

Phase 2 will be Light node quest and Phase 3 called Testnet Adventure.

Get Started With Phase 1

Proceed to : alpha.nubit.org/#/

Connect your Kepler wallet to the website. Now, proceed to galxe to complete this Campaign. The task contains connecting to Nubit social accounts both Twitter and Telegram.

You earn 1000 poins for each task completed, you will be requested to connect your Galxe account. Complete the Galxe task above.

You can also attend to this task as well (Nubit Genesis Campaign)

The Phase 2 of the campaign will be anytime soon since there’s no actual announcement yet. However, you can start running your Light client now.

Follow and subscribe free to my page, so you can get notification early when i drop a guide.

Hope this is helpful. Kindly applaud and give a follow.

Below we’ll expand on this architecture, including the key use cases that this unlocks.

0G’s Architecture 0G’s high scalability hinges on separating the data availability workflow into:

a) The Data Storage Lane: Achieves horizontal scalability through well-designed data partitioning for large data transfers. For example, significant amounts of data can be stored or accessed nearly instantaneously.

b) The Data Publishing Lane: Guarantees data availability using a quorum-based system that assumes an “honest majority”, with the quorum randomly selected via VRF. This only takes up a tiny flow of data and therefore avoids any data broadcasting bottlenecks, allowing space for the larger Data Storage Lane transfers.

“0G Storage” is 0G’s on-chain database that consists of a network of Storage Nodes actively participating in a PoW-like mining process known as Proof of Random Access (PoRA). PoRA requires miners to correctly answer random queries relating to archived data, with the corresponding Storage Node rewarded accordingly. 0G focuses on rewarding nodes for their contributions rather than punishing them for misbehaviors to encourage network participation in network maintenance and ultimately improve scalability.

“0G DA” is 0G’s infinitely scalable DA Layer directly built on top of 0G Storage. A quorum-based architecture is used to provide DA confirmation, using an “honest majority assumption” whereby nodes agree on data being available. A VRF is used to randomize the quorum, while GPUs accelerate the erasure coding process that’s needed to properly store data.

What Does 0G Solve? The need for greater Layer 2 (L2) scalability has directly coincided with the recent rise of DA Layers, with L2s widely agreed upon as the solution to Ethereum’s scaling woes. L2s conduct transactions off-chain and settle on Ethereum for security purposes, meaning that they must post the actual transaction data somewhere so that it may be confirmed as valid. By publishing data onto Ethereum directly, its high fees are spread amongst L2 users, increasing scalability.

DALs provide a more efficient means of publishing off-chain data and keeping it available for anyone to inspect.

That being said, existing DALs are inadequate for supporting the exponentially increasing amount of data arriving on-chain. They are unable to store vast sums of data and have limited throughput, which is especially concerning for data-intense use cases like on-chain AI.

0G provides a 1,000x performance improvement over Ethereum’s danksharding and a 4x improvement over Solana’s Firedancer, providing the necessary infrastructure to scale Web3’s data needs on a massive scale.

A major focus is AI, as 0G Storage can store vast datasets while using 0G DA to quickly AI models fully on-chain.

Beyond this, other use cases include:

a) L1s / L2s: These parties may use 0G’s AI models, or use 0G for data availability and storage. Partners include Polygon, Arbitrum, Fuel, Manta Network, and more.

b) Bridges: Given that networks can easily store their state using 0G, state migration is possible between networks which facilitates secure cross-chain transfers. For example, relevant user balances can be stored as data and communicated cross-chain for fast, accurate, transfers.

c) Rollups-as-a-Service (RaaS): a DA option and data storage infrastructure for RaaS providers like Caldera and AltLayer.

d) DeFi: 0G’s quick and scalable DA may support highly efficient DeFi on specific L2s & L3s due to fast settlement and storage, such as high-frequency trading.

e) On-chain Gaming: Gaming requires vast amounts of cryptographic proof-related data that needs to be reliably stored, on top of all regular metadata such as a given player’s assets, points, actions, and more.

f) Data Markets: It makes the most sense that Web3 data markets truly store their data on-chain, which is currently only feasible on a large scale using 0G.

0G is the scalable, low-cost, and fully programmable DA solution that’s necessary to truly bring vast amounts of data on-chain. This would not be possible without 0G’s complementary role as an on-chain data storage solution, which unlocks even more use cases (such as providing database infrastructure for any on-chain application).

0G can store any type of Web2 or Web3 data while efficiently proving its data availability. The benefit of this extends far beyond confirming Layer 2 transactions, as any type of data (large-scale datasets, a blockchain’s state, crypto