Compute

Decentralized compute projects: power a more resilient and accessible global computing infrastructure.


Tokens
76
Market cap
$2.06B
Avg gem score
57
24h volume
$19.94M
Up this week
32%
Signals
Nosana
Solana
👑Streak· Nosana

7 days at the top this week: $NOS is dominating the category


Datacenter Coin
Solana
🔥Hot· Datacenter Coin

$DATACENTER climbed 39 places this week


Compute Cat
Solana
🔥Hot· Compute Cat

Up 26 places this week, $COMPUTECAT is gaining ground


ComputeOS
Solana
🔥Hot· ComputeOS

Down 32 places this week, $COMOS is losing steam


COMPUTE COIN
Solana
📰News· COMPUTE COIN

$COMPUTE sank to a 4 gem score this week


Nosana
Solana
📰News· Nosana

$NOS hit a gem score of 74 this week


〰️
〰️Flow

48 tokens rose and 27 fell this week


OpenGPU
Ethereum
〰️Flow· OpenGPU

$oGPU climbed 42 places this month

What the community is saying
  • User Avatar
    @panteoUtility+28

    $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)

  • User Avatar
    @panteoAI+25

    $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.

  • User Avatar
    @panteoCompute1

    $NOS is quietly interesting.

    ~$26M mcap for a GPU network already running real AI workloads, with demand for compute still rising.

    The market prices it like another small AI token.

    It’s actually infrastructure.

    The question is whether usage can scale faster than the valuation.

Token
Price
1d %
1w %
1m %
Market Cap
Volume 24h
Score
Category
Holders
Entropy
Mc/Rev
EdgeMatrix Computing networkEMC
$0.0003491
-13.0%
-56.6%
-80.7%
$71,731
$282.37
41.24
12,359
0.2678
Cysic TokenCYS
$0.1366
-10.8%
-45.1%
-91.9%
$65.02M
$8.31M
39.81
12,764
0.2535
Spheron NetworkSPON
$0.0006363
0.0%
0.8%
31.0%
$138,903
$0
39.55
4,705
0.1463
Decentralized Compute CompanyCOMPUTE
$0.0001792
12.6%
111.5%
150.2%
$301,905
$15,075
37.76
277
0.5365
Datacenter CoinDATACENTER
$0.00005636
-12.3%
656.3%
10.0%
$136,276
$9,708
36.66
441
0.5667
DGrid AIDGAI
$0.7489
0.7%
-5.0%
$112.58M
$6.95M
36.55
4,792
0.2011
Cluster ProtocolCP
$0.01472
4.8%
-54.0%
$72.77M
$2.07M
36.32
2,129
0.3106
peaqPEAQ
$0.02555
-0.1%
$314,581
$817,279
35.62
1,033
0.3749
compute coinCOMPUTE
$0.00002722
-30.8%
60.8%
-13.2%
$94,488
$11,879
33.73
177
0.5586
DatacenterDatacenter
$0.00001827
-4.3%
-5.4%
-31.0%
$22,401
$846.44
33.46
277
0.5473
FluxFLUX
$0.05202
1.9%
1.8%
31.8%
$22.89M
$4,721
33.27
2,588
0.023
Compute CatCOMPUTECAT
$0.00001436
-14.8%
155.4%
-36.4%
$62,723
$1,584
29.75
97
0.4739
GPUGPU
$0.0000218
-1.8%
-30.0%
-98.2%
$21,986
$294.72
27.99
4,418
0.4234
YOMYOM
$0.0133
-0.4%
5.2%
-86.3%
$1.58M
$68.63
27.76
565
0.1413
GPU CoinGPU
$0.059
-2.4%
-30.5%
-50.4%
$10,087
$0
27.33
472
0.3851
DataCenter CoinDATACENTER
$0.05694
12.7%
32.9%
46.8%
$37,890
$69.99
26.71
173
0.1311
DataCenter CoinDATACENTER
$0.05773
-15.4%
10.6%
23.9%
$12,253
$473.56
26.57
59
0.2689
NitroChainNITRO
$11.28
-3.4%
-29.8%
-83.9%
$11.27M
$7,764
25.67
564
0.0114
Obelisk PRELODE
$0.000134
0.0%
-10.2%
-14.9%
$317,284
$0
25.14
348
0.1912
Compute CoinCOMPUTE
$0.059
0.0%
-4.7%
-29.5%
$8,570
$0
25.02
173
0.3153
ComputeOSCOMOS
$0.05319
2.8%
-5.7%
1.1%
$14,213
$0.3995
24.86
265
0.1922
NodeDuckNDK
$0.05441
1.6%
-19.9%
-53.5%
$4,428
$20.89
23.3
111
0.2053
DatacenterDatacenter
$0.05233
0.0%
45.1%
$3,464
$0
23.12
161
0.0965
ComputeSealSEAL
$0.05253
-0.5%
27.6%
$13,183
$0
22.73
140
0.1085
DGrid AIDGAI
$0.7489
0.7%
-5.0%
$137,079
$14,819
22.59
59
0.1904

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.