Compute
Investing in decentralized computing: powering the future of AI and blockchain infrastructure.
- @panteoCompute•1
$AI is tackling the core bottleneck of decentralized compute: verifiable machine learning. While the market misprices it as a generic hardware play, Gensyn’s edge is its verification protocol, solving computational honesty without redundant model replication. It's a sticky infrastructure primitive rather than a superficial narrative wrapper, making its current consolidation a compelling long-term accumulation play.
Token | Price | 1d % ▲▼ | 1w % ▲▼ | 1m % ▲▼ | Market Cap ▲▼ | Volume 24h ▲▼ | Score ▲▼ | Category | Holders ▲▼ | Entropy ▲▼ | Mc/Rev ▲▼ |
|---|---|---|---|---|---|---|---|---|---|---|---|
BittensorTAO | $176.78 | 0.0% | – | – | $1.29M | $17,331 | 24.9 | 1,453 | – | – | |
ComputeBaseCOMPUTE | $0.0002144 | 0.0% | 183.9% | 183.9% | $214,354 | $0 | 24.75 | Utility+1 | 173 | 0 | – |
Compute CoinCOMPUTE | $0.001071 | 0.0% | 19,408.8% | 19,408.8% | $37.72 | $0 | 24.69 | 3 | 0 | – | |
Compute HUDDLE01_AI waveHUDL | $0.000224 | 0.0% | 1,813.6% | 1,813.6% | $223,961 | $0 | 24.14 | 21 | 0 | – | |
SUITE lp HUDDLE01_AIHUDl | $0.0002422 | 0.0% | 1,809.4% | 1,809.4% | $242,205 | $0 | 24.13 | 21 | 0 | – | |
NextGPUNGPU | $0.000454 | 0.9% | 1,115.2% | 1,115.2% | $45,404 | $94.19 | 32.89 | 291 | 0 | – | |
OpenGradientOPG | $0.1071 | 2.2% | -1.6% | -13.3% | $20.29M | $272,387 | 73.23 | 39,400 | 0.3989 | – | |
Reserve AI Power DTF (BSC)POWER | $93.45 | 2.3% | 2.0% | 2.0% | $923,943 | $91,964 | 51.68 | 219 | 0 | – | |
JANCTIONJCT | $0.004129 | 2.3% | -4.4% | 18.0% | $47.81M | $1.26M | 71.92 | Compute+1 | 15,478 | 0.3901 | – |
ComputeBaseCOMPUTE | $0.06164 | 2.4% | -0.3% | 14.0% | $15,890 | $21.06 | 40.84 | Compute+1 | 924 | 0.606 | – |
IO CoinIO | $0.153 | 2.8% | -6.3% | -21.4% | $50.75M | $37,934 | 75.45 | Utility+2 | 85,372 | 0.3659 | – |
NillionNIL | $0.03768 | 3.9% | 8.7% | -1.9% | $17.70M | $13,934 | 65.18 | 3,836 | 0.4153 | – | |
Reserve AI Infrastructure DTF (BSC)BUILDOUT | $91.96 | 4.8% | 4.8% | 4.8% | $933,778 | $47,122 | 52.93 | Utility+1 | 412 | 0 | – |
GensynAI | $0.02555 | 5.2% | 9.2% | 2.4% | $33.57M | $80,573 | 62.39 | 4,913 | 0.3508 | – | |
DolphinPOD | $0.4896 | 7.1% | 19.9% | 46.0% | $243.90M | $251,593 | 72.07 | Compute+1 | 4,777 | 0.3162 | – |
Reserve AI NeoCloud DTF (BSC)NEOCLOUD | $74.18 | 7.9% | 17.1% | 17.1% | $870,908 | $586,978 | 63.81 | 893 | 0.3389 | – | |
c0mputeZERO | $0.002373 | 20.7% | -25.1% | -66.6% | $2.33M | $72,246 | 59.95 | Compute+1 | 5,357 | – | – |
Frequently asked questions
How has Compute performed recently?
The Compute category has been quiet over both the 7-day and 30-day windows, with no significant activity in breadth, climbers, fallers, score extremes, streak leaders, top k entrants, or top k exits.
What is decentralized compute in the context of cryptocurrency?
Decentralized compute refers to networks of computers that provide processing power, storage, and other computational resources in a distributed manner, often incentivized by cryptocurrency tokens. Unlike centralized cloud providers, these networks are not controlled by a single entity.
How do compute tokens derive their value?
Compute tokens derive value from their utility within their respective networks. They are often used to pay for computational resources, incentivize providers to offer compute power, or participate in network governance. Demand for these services can influence token value.
What are the potential applications for decentralized compute projects?
Decentralized compute projects have various potential applications, including powering AI models, rendering graphics, hosting dApps, scientific research, and providing distributed data storage. They aim to offer alternatives to traditional cloud services with enhanced privacy and censorship resistance.
What are the risks associated with investing in compute tokens?
Risks associated with compute tokens are similar to other cryptocurrency investments and include market volatility, regulatory uncertainty, technical risks related to network development and security, and the challenge of gaining widespread adoption compared to established centralized providers.




