2025-12-27 11:24:49

Recently came across an interesting GPU computing network project called NVIDIA Compute Network (NCN), which issues the NVAI token.

At first glance, you might think "Another token issuance project," but upon closer inspection, its approach is indeed a bit different.

**What makes it different?**

It doesn't emphasize rapid price surges, multipliers, or a super roadmap. Instead, it consistently focuses on a fundamental issue: how GPU computing power is genuinely scheduled, how AI tasks are verified and accounted for, and how contributions are settled on the chain.

They refer to this logic as "Proof of Compute."

The general process is as follows: after a graphics card joins the network, it isn't idle but actively performs AI work—possibly model training, inference, or generation. The system allocates rewards based on actual workload. No false promises—it's simply "the amount of work done equals the amount of compensation."

From a conceptual standpoint, this is more about building infrastructure rather than hyping a short-term market rally. Such projects often have a characteristic: once the early window closes, the conditions for later participation change.

**My personal attitude is simple:**

I neither chase the hot trends nor go all-in. But while the participation window is still open, I want to understand the logic clearly. Many people get stuck at the "can't see clearly" stage, and end up either missing out or getting caught in a trap.

If you're interested in GPU networks, AI computing, or blockchain verification, this project's technical approach is worth studying. Not for quick riches, but to understand how this direction actually works.

NCN0,11%

View Original

This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.

19 Likes

Reward
19
4
Repost
Share

Comment

0/400

WalletDetective

· 10h ago

Another token issuance? But this time it seems like real work is being done, not just empty promises. --- Proof of Compute sounds reliable, but I’m just worried it might be more hype than substance. --- The early window approach is a bit of a routine, but it’s definitely worth studying. --- I like the idea of idle GPU monetization, but whether the verification mechanism can truly prevent cheating remains to be seen. --- Instead of getting cut out, it’s better to understand the logic thoroughly before jumping in. That’s the right way to approach it. --- Infrastructure projects tend to be slow to heat up, and most people can’t wait that long. That’s also why those who participate often earn more. --- "How much work has been done, and how much is paid"—this logic is simple and straightforward, and it’s actually the hardest to fake. I’m starting to be convinced. --- The recent ncn move doesn’t seem to be driven by hype. That’s rare in the crypto world, but it doesn’t necessarily mean stability. --- The idea of participating in the window always feels like FOMO, but on the other hand, missing out on infrastructure projects really is a loss.

View OriginalReply0

rekt_but_vibing

· 10h ago

Hmm... "How much work is done for how much money" sounds good, but can NVIDIA really make this happen? --- Proof of Compute sounds tempting, but the key is whether it will turn into another wave of rug pulls. --- The so-called window period is indeed disgusting, but the reasoning isn't wrong; the more conditions added later, the worse it gets. --- I'm a bit tempted, but my gut tells me to wait and see if the project team will hype it up awkwardly. --- Honestly, computing power is indeed valuable, but I just don't know if these people can really get things done. --- Idle GPUs can't do much; if it can really be monetized, I’d like to give it a try... but the prerequisite is that it’s not another scam. --- There are many projects riding the coattails of big companies' hype; why should this one be different? --- As long as the logic is self-consistent, that's enough—much better than those who only hype the Roadmap. --- If it can truly be distributed based on workload, that would be innovative; the problem is whether the verification mechanism is reliable. --- It's interesting, but I still need to look at the code and actual returns before I can say more.

View OriginalReply0

BlockchainArchaeologist

· 10h ago

Another coin launch? But this time the logic is indeed different, real workload distribution, not just empty promises. --- The so-called early window, every project talks about it, but there is some truth to it. --- Proof of compute sounds much more reliable than most pseudo-infrastructures. --- The key is to understand clearly, otherwise you might miss the doubling opportunity or get cut. --- I've always been a bit confused about GPU networks. Can this kind of distributed computing truly replace centralized computing power? --- I agree with the attitude of not chasing the trend or going all-in, but the metaphor of participating in the window period feels like an implicit hint to hop on quickly? --- The most critical part is the actual execution of AI work. Can it be verified? Or is it just talk? --- On-chain settlement sounds good, but how many projects are actually running? Most have ended in failure. --- I just want to know if connecting idle graphics cards to the network can really make money, or is it just another new way to cut the leeks? --- If this approach can truly be implemented, the GPU computing market landscape will indeed change. But can implementation be as easy as a white paper?

View OriginalReply0

TrustMeBro

· 10h ago

It's another token issuance trying to appear different, but this time the logic actually makes sense. --- Proof of Compute is still interesting; it's more reliable than those paper promises. --- Basically, it means the graphics card is really working, not just a community concept coin. I agree with that. --- Every project talks about the window period, but NCN's approach really seems like building infrastructure rather than scam money. --- If GPU scheduling verification can really be implemented, then it's worth paying attention to; otherwise, it's just an illusion. --- Anyway, exploring early on is better than being clueless and getting cut, that's just how research costs are. --- Proof of Compute sounds good, but how much computing power is truly being utilized? That's the key. --- I like this attitude of not chasing trends or going all-in; it's much more sensible than shouting "All in" all day.

View OriginalReply0