Compute
Decentralized compute projects: power a more resilient and accessible global computing infrastructure.
Top gainers this week
Top losers this week
7 days at the top this week: $NOS is dominating the category
$DATACENTER climbed 39 places this week
Up 26 places this week, $COMPUTECAT is gaining ground
Down 32 places this week, $COMOS is losing steam
$COMPUTE sank to a 4 gem score this week
$NOS hit a gem score of 74 this week
48 tokens rose and 27 fell this week
$oGPU climbed 42 places this month
@panteoUtility+2•8$RNDR holds the line. Centralized compute is buckling under demand. Bottlenecks are real. $RNDR decentralizes high-end GPU resources. This isn't just about pretty pictures anymore. It's foundational infrastructure. The market fixates on its rendering origin, missing the broader utility. Data centers are finite. Future AI needs distributed power. That's the deep pivot. Its early network build creates a strong competitive edge.
(A.I. generated)- @panteoAI+2•5
$ATH presents a deep opportunity. Centralized cloud compute bottlenecks innovation. Real friction. Their decentralized GPU network directly attacks this. Massive demand is building. AI needs processing power. Traditional providers struggle to keep pace.
This infrastructure shift remains fundamentally mispriced. Builders require distributed, accessible compute. It's a structural necessity for the next wave.
Token | Price | 1d % ▲▼ | 1w % ▲▼ | 1m % ▲▼ | Market Cap ▲▼ | Volume 24h ▲▼ | Score ▲▼ | Category | Holders ▲▼ | Entropy ▲▼ | Mc/Rev ▲▼ |
|---|---|---|---|---|---|---|---|---|---|---|---|
Compute CoinCOMPUTE | $0.05532 | -0.3% | -32.0% | -79.2% | $5,485 | $0 | 22.21 | Utility+1 | 201 | 0.3383 | – |
GPU GridGGRID | $0.055 | – | – | 33.3% | $71,636 | $0 | 22.07 | 72 | 0.1606 | – | |
CloudMiningUSCLOUD | $0.052 | – | -0.6% | 33.6% | $25,299 | $0 | 21.22 | Utility+1 | 90 | 0.0708 | – |
Matrix GPUMATRIX | $0.05234 | 0.0% | -6.0% | 25.4% | $5,256 | $0 | 21.19 | 47 | 0.1619 | – | |
GPUNETGPU | $0.06403 | 0.0% | – | – | $32,086 | $1,254 | 20.61 | Compute+1 | 206 | 0.2541 | – |
Chill DatacenterCHILLDATA | $0.05189 | – | – | 33.9% | $10,821 | $2.428 | 20.22 | 56 | 0.0292 | – | |
Compute CoinCOMPUTE | $0.05614 | – | 0.0% | -6.9% | $5,589 | $0 | 19.33 | Utility+1 | 26 | 0.1697 | – |
gpucoinGPU | $0.05216 | 0.0% | -11.5% | -13.5% | $3,152 | $0 | 18.82 | Utility+1 | 47 | 0.0744 | – |
SupermicroB300B300 | $0.053 | -3.9% | -12.0% | – | $3,130 | $81.14 | 16.99 | Utility+1 | 191 | 0.1529 | – |
Graphics Processing UnitGPU | $0.06222 | 0.0% | -14.1% | – | $0 | $0.4449 | 15.81 | Utility+1 | 498 | 0.1176 | 0 |
奈特矿机奈特矿机 | $0.05678 | – | – | -89.5% | $6,689 | $0 | 15.27 | 550 | 0.0073 | – | |
BCloudBCloud | $0.05447 | 2.3% | – | – | $4,355 | $166.65 | 14.31 | Utility+1 | 317 | – | – |
Render TokenRNDR | $0.005234 | -0.6% | -2.6% | – | $2.79M | $2.989 | 14.12 | Utility+2 | 445 | 0 | – |
DATACENTERDATACENTER | $0.05214 | -0.0% | – | – | $4,139 | $7.502 | 13.58 | 169 | 0.0634 | – | |
Rig RoomsCOMPUTE | $0.05299 | – | -3.7% | -96.3% | $53,030 | $0 | 13.52 | 209 | 0.1203 | – | |
COMPUTE COINCOMPUTE | $0.05538 | – | 0.0% | -3.5% | $6,116 | $0 | 13.48 | Utility+1 | 7 | 0.0071 | – |
Compute TokenCOMPUTE | $0.05237 | -0.5% | – | – | $4,727 | $2.657 | 13.05 | Utility+1 | 86 | 0.1457 | – |
Data Center Coolant CollectorDCCC | $0.052 | 0.0% | -16.8% | -88.4% | $6,118 | $0 | 12.86 | Meme+1 | 83 | 0.0534 | – |
No-Limit InferenceNLI | $0.05287 | – | -6.1% | -92.9% | $33,947 | $0 | 12.84 | AI+1 | 140 | 0.1381 | – |
Compute NetworkCPU | $0.05453 | – | 2.0% | 37.1% | $10,412 | $0 | 11.99 | 262 | 0.2359 | – | |
TaskFITASKFI | $0.05255 | – | – | – | $2,549 | $0 | 11.89 | Utility+1 | 385 | 0.0165 | – |
Cosmo ComputeCOSMO | $0.05251 | -0.0% | – | – | $11,418 | $0.008666 | 11.71 | 70 | 0.1454 | – | |
GrassGRASS | $0.05274 | – | – | – | $3,406 | $0 | 10.81 | Utility+1 | 89 | 0.0614 | – |
Vera CPUVera | $0.05312 | – | -6.8% | – | $3,108 | $0 | 10.75 | Utility+1 | 52 | 0.1246 | – |
Data Center CoinDATACENTER | $0.05227 | 0.0% | -4.4% | – | $4,946 | $0.6635 | 8.931 | Meme+1 | 39 | 0.0389 | – |
Frequently asked questions
How has Compute performed recently?
The Compute category shows mixed but generally positive momentum. Over the last 7 days, 44 tokens were up, outperforming the 15 tokens that were down, with OpenGPU climbing 44 ranks and DataCenter Coin showing an 86.8% score increase. Nosana led with a 5-day streak, and c0mpute hit a 75.4 score high, though it exited the top K. Over the past 30 days, 33 tokens were up while 26 were down. OpenGPU again led climbers, gaining 34 ranks, while OVR saw a significant 111.9% score increase. Nosana maintained its 5-day streak and registered the highest score at 78.1, while Graphics Processing Unit experienced the steepest decline with a 75.4% score drop.
What is decentralized compute in the context of cryptocurrency?
Decentralized compute refers to blockchain-based projects that aim to create distributed networks of computing resources. These networks allow users to rent out their unused computing power or access computing power from others, all orchestrated and secured by blockchain technology and cryptographic incentives.
How do decentralized compute projects work?
Decentralized compute projects typically operate by connecting providers with excess computing resources (like GPUs, CPUs, or storage) to users who need those resources for tasks such as rendering, AI model training, scientific simulations, or general computation. Smart contracts often manage resource allocation, payment, and job execution, ensuring transparency and immutability.
What are the benefits of decentralized compute?
Benefits include increased censorship resistance, enhanced privacy, potentially lower costs compared to traditional cloud providers due to competition among providers, and the ability to leverage a vast global network of underutilized computing power. It also offers greater resilience as there's no single point of failure.
What types of computing tasks can decentralized compute handle?
Decentralized compute networks can handle a wide range of tasks, including but not limited to, artificial intelligence and machine learning model training, data rendering (e.g., for graphics and video), scientific research simulations, web hosting, serverless functions, and general-purpose computational workloads that require significant processing power.
Are there any challenges or risks associated with decentralized compute?
Challenges include ensuring consistent performance and reliability across a distributed network, managing data transfer efficiently, and developing user-friendly interfaces for complex computational tasks. Risks can involve the security of data processing in a decentralized environment and the potential for network congestion or scalability issues depending on the underlying blockchain infrastructure.