What potential projects are worth paying attention to in the Decentralization Computing track?

Original author: Sleeping in the rain

What exactly is Decentralization Computing?

In addition to io.net $AKT $AR $TAO, what other opportunities can we participate in?

The following content is intended to talk to you about how I understand the Decentralization Computing track after learning the relevant knowledge.

Let’s dive in together

1、What exactly is Decentralization Computing for?

That is, “computing”, what do these protocols calculate?

To put it simply, computing is the processing of information and data to achieve the output of the target result.

The biggest demander for decentralization computing, or “what the market thinks”, is AI training. Of course, there are still longest problems in data synchronization, network optimization, and data privacy and security in this track.

At the moment, the biggest solutions on the market are probably io.net $AKT and $RNDR. However, as Greythorn Asset Management mentioned, the complexity of creating and managing Decentralization clusters at scale involves significant technical challenges, and they still have a long way to go (this is what long wick candle said to io.net, but it applies to most of them).

Reference link: greythorn.medium.com/io-nets-revolutionary-gpu-cloud-f 18 c 06 b 944 e 4

2. Refine the application direction

Let’s take a brief look at the specific business of ⬇️ the Decentralization Computing project mentioned earlier

• io.net is a GPU Computing Power and has partnered with $RNDR for machine learning and artificial intelligence computing.
• $TAO does Computing Power intermediary to match AI training needs.
• $AKT is more scalable than $RNDR and supports GPU, CPU, and storage compute, so its customer base is richer.
• $AR’s AO is a hyper-parallel computer modularly combined with Arweave, where AO is responsible for communication and parallel computing, and Arweave is responsible for storage and verification. In addition, AO supports modular combinations.

The application direction of decentralization computing is strongly linked to the AI field, and provides services for the AI field in the form of computing power. Essentially, we can break down Crypto+AI into: 1) What can Crypto do for the AI industry? 2) How can the AI industry empower Crypto? I’ve already mentioned this in a previous article. The way the AI industry empowers Crypto is through AI agents, such as $PRIME $OLAS. The basic idea that Crypto can serve the AI industry is to do computing power.

This is also the reason why the current Computing Power targets are being hyped and new Computing Power protocol are emerging.

In addition to computing power and applications, Crypto can also do something at the data layer and algorithm level.

Their main rise bottleneck today is Web2 customer acceptance of their form of collaboration. At this point, $AKT is relatively well done.

3. Two Gems related to calculations and data

Next, I will share a few gems with you (I have Holdings, interests, do your own research before buying, don’t give me dumb buying).

FluenceDAO @fluence_project

Official: Fluence is a Web3 native computing platform for developing and hosting applications, interfaces, and backends on a permissionless peer-to-peer network. Fluence can read data from any public data source (FIL, Filecoin, Arweave, Ceramic, Ethereum, Solana, Flow, etc.), compute it, and store the newly computed data back into any of those repositories.

Background: FluenceDAO is an AI+DePin project that has partnered with FIL and Solana co-creators are also following the project. The project was led by Multicoin, with participation from 1kx and Signum Capital, and raised $11 million. Fluence has created a network to provide users with a Decentralization cloud-less platform + marketplace, and the network is managed by Fluence DAO and $FLT.

Currently, the price of $FLT is 0.6 USD, MC 29.9 M, FDV 599 M.

Read longer:

AIOZ @AIOZNetwork

Official introduction: AIOZ Network is a comprehensive infrastructure solution for Web3 storage, decentralization AI computing, live streaming, and video-on-demand (VOD). AIOZ Network’s dCDN platform transforms file storage and distribution in Web 3.0 Dapps, providing an affordable solution for file storage and media streaming. AIOZ Network’s Blockchain combines the robustness of Cosmos with the compatibility of the Ethereum Virtual Machine (EVM) (high compatibility and low cost).

Background: Previously, AIOZ focused on becoming the primary DePin infrastructure platform for storage and streaming, and now AIOZ is on its way to AI. Just like io.net and FluenceDAO, do AI+DePin infrastructure. AIOZ has been part of the NVIDIA Inception program for several years.

A unique design of the AIOZ is the dCDN (Distributed Content Delivery Network), where the edge Node of the network is responsible for running the network, and the Node who run the network will be able to earn $AIOZ Token rewards. One of the features of dCDN is that it allows the network to scale indefinitely. That is, as demand rises, the number of edge nodes needs to rise to meet market demand (there are currently 80,000 nodes worldwide).

So, how does AIOZ combine with AI?

AIOZ W 3A I is an AI computing infrastructure that can help customers with distributed AI computing and ensure data privacy. Customers can access more long AI models through the AI-as-a-service service provided by AIOZ.

Interestingly, while reading the material, I also noticed a concept that was mentioned longest: AI reasoning.

In the AI space, inference is the process of drawing conclusions from entirely new data using a trained machine learning model, and an AI model capable of inference can do so without an example of the desired outcome. To put it simply, AI training is the first stage of an AI model, and AI inference is the application of an AI model. In fact, AI inference is the process used to test the capabilities of AI models.

AIOZ’s W 3A I Marketplace allows Nodes to store user data in a decentralization manner and perform AI tasks directly on the user’s device. This makes AI inference more cost-effective and private.

To put it simply, AIOZ is providing services for AI through edge computing.

Read longer:

Currently, the price of $AIOZ is 0.8 USD, MC 878 M, FDV 878 M.

Finally, let’s talk about what I think is the trend of Crypto AI: An important trend in the future of Crypto AI is the refinement of the subdivision track, and the granularity will be higher. While competing, more long modular cooperation will also come.