Let me elaborate on $ZERO, I personally hold a position, so the following analysis may not be objective, please do your own research.
The trajectory of many AI coins is:
First, shout “We are going to reshape AI,”
then pair it with a picture that looks like a futuristic city,
and finally fill the white paper with references to a community of shared human destiny.
After reading, you only remember one sentence:
“Brother, what exactly are you doing?”
But the $ZERO / c0mpute project is somewhat different.
It does not start off by discussing the end of the universe, but instead has done something very basic yet crucial:
Turning ordinary people's GPUs into profit-generating AI computing nodes.
Simply put, what c0mpute wants to do is:
If you have a question for AI,
you don’t have to throw it all at big factories like OpenAI, Anthropic, or Google,
but rather send it to a distributed GPU network.
People in the network contribute graphics cards,
some use AI,
with c0mpute managing the scheduling,
and in the end, the user receives answers, while the worker gets USDC.
It's like how people used to only eat at five-star hotels,
c0mpute says:
“The guy downstairs who can cook can take orders too, as long as the food is served on time.”
Its first value point is that the product is not just a PowerPoint.
c0mpute already has a web interface, API, workers, image generation, staking, treasury, and even a c0mpute-code.
This is very important.
Because in the crypto AI space, many projects have product forms that are:
Official website: there
Twitter: very fierce
Documentation: like poetry
Product: please wait for signals from the universe
But c0mpute can at least be seen to be running something.
The second value point is that its API design is very clever.
It offers an OpenAI-compatible API.
What does that mean?
It means developers do not need to rewrite their projects,
they just need to replace the original OpenAI call address with the c0mpute address, theoretically, it can connect.
This is very important.
Because what AI projects fear the most is not flashy technology,
but trouble for others trying to use it.
Real growth infrastructure must be:
“No matter how complicated my back end is, your integration must be simple.”
The third value point is that the value capture mechanism of $ZERO is quite clear.
Here it should be clarified:
Using c0mpute does not require buying ZERO.
Users pay for credits with USDC, then use credits for AI inference.
So what is the use of ZERO?
It is not a gas canister,
not something you have to burn a little ZERO for every AI question asked.
It's more like a certificate for the value recycling in this network.
Network revenues go into the treasury,
then a part buys back and burns ZERO,
and another part distributes USDC to stakers.
Therefore, the core logic of ZERO is not “forcing users to buy coins,”
but “if the network really makes money, token holders can see the returns.”
This is much clearer than many projects that say “we will empower you in the future.”
The fourth value point is that staking is not just a decoration.
ZERO staking has three roles:
Receive USDC rewards,
Receive free credits,
If you are a worker, you can also increase your share after meeting the staking threshold.
This connects tokens and the network's supply side together.
It is not designed in a way that grants “stockholder status after staking.”
The fifth value point, which is also where the market feels the most FOMO: Shard.
What is Shard?
In one sentence:
It allows a too-large AI model not to be forced into a single graphics card,
but to be split into many pieces, distributed across different machines to run.
The previous problem was:
The model is too large, a single card cannot handle it.
Distribution across different machines may also be hindered by network delays.
It’s like trying to move a large table with several people, having to hold a meeting with each step, ultimately leaving the table unmoved and tiring out the people.
The core breakthrough of Shard is to enable these distributed GPUs to collaborate, and still maintain speed.
Public information has already shown:
A 744B model across multiple GPU locations runs at about 30 tok/s;
A 120B model across 3 4090 cards runs at about 40 tok/s.
That's why the market is excited.
Because if this direction continues to materialize, c0mpute will not just be “crowdsourced inference for small models,” but will have the opportunity to tell a bigger story:
Ordinary consumer-grade GPU networks can also support large model inference.
This statement is very penetrating.
One of the biggest problems in the AI industry right now is that computing power is monopolized by a few giants.
c0mpute's story is:
The big companies have their own data centers,
but there are also sleeping graphics cards in the community.
If they can be organized, it could represent a new type of AI infrastructure.
The sixth value point is that it has a public data dashboard.
I really like this.
Because the project team dares to display data on workers, jobs, tokens, users, credits, and treasury, it at least shows it is willing to be tracked.
Of course, the data is still very early.
This also must be clarified:
c0mpute is not yet a mature AI infra company.
The real payment scale is still small.
Shard has not yet become an official production model in public APIs.
In the treasury returns, a significant part is likely to come from transaction fees rather than AI usage income.
So the most accurate positioning of ZERO right now is not:
“A proven large AI infrastructure.”
But rather:
“A DeAI project with real product, strong technical signals, and token recycling design, but still in the early verification stage.”
This determines its trading logic.
For ZERO, do not just look at Twitter heat.
What really needs to be monitored are a few questions:
When will Shard enter the public API?
Can workers join the Shard network with a single click?
Will credits spent continue to grow?
Will USDC deposits increase?
Are there real developers using c0mpute-code?
Will the Virtuals ecosystem really integrate?
Will the treasury in the future transition from being driven by transaction fees to being driven by product income?
If these questions receive positive feedback progressively,
the narrative of ZERO will upgrade from “technical demo” to “product capability.”
If not, then it will just be an exciting AI meme trend.
To summarize:
The value of c0mpute is not in claiming to be AI.
There are too many projects claiming to be AI now, even menus are featuring AI agents.
What is really interesting is:
It has linked GPU, AI inference, developer API, worker earnings, staking, and treasury buyback into a closed loop.
This closed loop is still small now,
but the direction is correct,
and Shard adds a layer of “technological breakthrough” imagination space.
So my view on ZERO is:
It is not blindly mythologized,
nor is it an ordinary air coin.
It feels more like an early engineering project that suddenly got discovered by the market:
“Hold on, this guy seems to be actually building something.”
Next, it will depend on whether it can turn a demo into a stable product;
transform hype into usage;
and convert transaction fee returns into real AI income returns.
This is the true critical point behind ZERO.
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