Those who have been following me for a while probably know that I have been researching projects in the Web3 and AI infrastructure space. Today, I would like to introduce the project @SpheronFDN.
Some friends may not have heard of it yet, so today let's have a good chat about this project. It went live with its TGE on July 29th. Let's see what it actually does and whether it's worth following.
First, let's take a look at what Spheron really is?
In simple terms, it is a "full-stack computing ecosystem" that provides developers and enterprises with a ready-made infrastructure, allowing them to easily deploy and scale high-performance AI applications and decentralized applications.
You can understand it as "decentralized cloud services," but more flexible than traditional clouds, with no permissions set, anyone who wants to use it can, and it relies on nodes in the community (like hardware from individuals or small institutions) to provide computing power, rather than being monopolized by a large company.
2: What has been done in recent years?
Many crypto projects tend to boast first, hype their tokens, and then figure out how to create a product. Spheron is different; it has already proven its strength without issuing tokens:
A few years ago, I focused on developing decentralized web hosting and development tools, honing my real skills in allocating computing power and optimizing user experience.
In 2024, a decentralized GPU market was established, with 44,000 hardware-providing devices worldwide, over 8,300 GPUs, and more than 600,000 CPUs actually running, covering 176 regions.
By 2025, without issuing tokens, it earned 10 million dollars in a year, a figure that many projects that have issued tokens for several years cannot achieve;
Now there are over 100 projects built on it, whether they provide GPUs or create AI agency platforms, involving many fields of AI and Web3, the scope is quite broad!
Three: What are the core components of Spheron?
Nowadays everyone is talking about AI agents (those AI programs that can think for themselves and work on their own). To make this thing run, three things are needed: sufficient computing power, usable data, and an open and transparent environment without any interference.
Spheron has taken care of all three aspects:
In terms of computing power: ready-to-use GPU network, available at any time;
Data aspect: Integrated with storage and data partners, data is available;
On the tool side: I created things like KlippyAI for text-to-video conversion and Skynet for AI agents that can be used without writing code. Developers can use them immediately without applying for any permissions; they just need to spend money (RMB or cryptocurrency is fine) to go live.
Four: Let's take a look at the token $SPON situation.
The token $SPON is not virtual; it can be understood as a "lubricant" that can be used within the ecosystem.
It officially launched on July 29th on the three platforms: Bitget, Gate, and MEXC. Any trading done elsewhere beforehand is fake, so please take note of this.
Then its purpose is not for speculation; it can truly play a role in the ecosystem:
Payment: Use $SPON to purchase computing power and store data;
Staking: Nodes providing hardware can get more rewards by staking $SPON;
Speaking: Those who hold coins can vote on network rules, such as how prices are determined and what functions to add;
Deflation: Use a portion of the income to buy back $SPON, gradually reducing the circulating supply in the market.
Another reassuring point is that investors' tokens will be locked for 1 year, the team and advisors will have a lock-up of 4 years, and the core team's tokens will be fully locked for 4 years — this indicates that they are not here to make a quick profit and leave, but rather to work on the project properly!
Five: What are Spheron's future plans?
What do you plan to make it like in the future?
The roadmap is written very clearly and realistically:
Short term: Increase the annual revenue of the AI business from the current 8 million to 30 million, with KlippyAI and Skynet each achieving 2 million in revenue;
Mid-term: Connect 10,000 gaming devices for edge computing, provide lending services to GPU providers, aim for the entire network's annual revenue to reach 100 million, and bring in some Web2 applications to utilize its infrastructure;
Long-term: In the first year, reduce the token supply by 5% through buybacks to attract 500,000 developers to engage in modeling and the agency market.
Six: Then let's casually talk about our own opinions and say a few nonsense.
Many projects in the crypto space rely on PPT to hype things up, but Spheron has done it the other way around, launching the token after doing the work first, which is indeed rare. I find it quite interesting.
When the token was not launched, there were over a hundred projects using it, and it could earn tens of millions in a year. The nodes providing hardware are located in more than 170 regions, which shows that its offerings can indeed solve some practical problems. For example, developers feel that those centralized cloud services are both expensive and not open, so using it might be more convenient.
AI and decentralized computing are estimated to be the future direction. Spheron now basically has a framework, the ecosystem is also running, and the token design seems to be aimed at long-term development.
However, that being said, the cryptocurrency market is highly volatile, so whether to get involved or not is something to ponder on your own. At the very least, you should first understand the official materials, such as the white paper and data on Dune, and study them thoroughly.
If you're interested, you can take a look at @SpheronFDN to see how it plans to improve its decentralized computing foundation. Anyway, it's worth paying attention to projects that can prove their usefulness before issuing tokens. Be diligent and take a closer look at the project details!
#Spheron ##decentralized computing #AI基础设施 ##Web3 project