Compute
Investing in decentralized computing: powering the future of AI and blockchain infrastructure.
$Super climbed 4 places this week
Up 3 places this week, $NGPU is gaining ground
$TAO +8 places this week
$Super · 6 gem score this week
A standout this week: $ZERO reached a gem score of 72
$COMPUTE +36.9% this week
17 tokens rose and 17 fell this week
$TAO +4 places this month
@panteoCompute•2$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 ▲▼ |
|---|---|---|---|---|---|---|---|---|---|---|---|
Reserve AI NeoCloud DTF (BSC)NEOCLOUD | $73.07 | 2.7% | 1.8% | 1.7% | $2.54M | $167,106 | 23.69 | 3,216 | 0.2204 | – | |
NVIDIA ComputeCOMPUTE | $0.05359 | – | – | 12.6% | $5,096 | $0 | 22.36 | 81 | 0.2009 | – | |
Crynux TokenCNX | $0.0009906 | -15.0% | 81.1% | – | $1.73M | $9,011 | 21.51 | Compute+1 | 422 | 0.3128 | – |
SuperComputeSuper | $0.05237 | – | – | 42.0% | $3,265 | $0 | 20.86 | 54 | 0.1203 | – | |
Reserve AI Power DTF (BSC)POWER | $90.74 | 2.8% | 0.7% | -3.6% | $1.80M | $22,406 | 20.66 | 1,148 | 0.1392 | – | |
GfProcessingUnitGPU | $0.05417 | 0.0% | -2.6% | -39.1% | $21,199 | $0 | 20.31 | Utility+1 | 64 | 0.1723 | – |
ComputeCompute | $0.054 | -2.2% | -2.7% | – | $54,435 | $363.01 | 17.57 | 100 | 0.221 | – | |
GPUNETGPU | $0.06406 | 1.1% | – | – | $31,972 | $5,925 | 15.57 | Compute+1 | 207 | – | – |
TAOTAO | $0.00008587 | -4.5% | – | – | $80,983 | $46.8 | 14.08 | 74 | 0.2458 | – | |
Quantum ComputerCQuantum | $0.05249 | – | – | – | $2,499 | $0 | 11.67 | Meme+1 | 111 | 0.0814 | – |
Frequently asked questions
How has Compute performed recently?
The Compute category has seen varied movement over the past month. In the last 7 days, 18 tokens were up and 13 were down, with SuperCompute (Super) showing a remarkable 234.4% score increase, making it a top climber alongside Bittensor (TAO) with a 41.5% score increase. Conversely, Cluster Protocol (CP) was the biggest faller, decreasing by 75.4%. Looking at the 30-day window, 15 tokens were up and 16 were down. c0mpute (ZERO) was a significant climber, rising 15 ranks with an 88.0% score increase, and also entered the top K for the month. Bittensor (TAO) also climbed 8 ranks with a 96.8% score increase over 30 days. Cluster Protocol (CP) continued its downward trend, falling 10 ranks with a 75.4% decrease in score, while Quantum Computer (CQuantum) also saw a significant decline of 58.6%.
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.