Compute

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


Tokens
76
Market cap
$2.13B
Avg gem score
56
24h volume
$19.57M
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
NosanaNOS
$0.2887
-1.5%
4.3%
14.5%
$28.96M
$92,670
73.57
47,613
0.5268
c0mputeZERO
$0.00052
14.2%
19.1%
-80.1%
$831,022
$84,397
72.67
5,296
0.5344
AnkrANKR
$0.004316
4.3%
1.3%
27.9%
$42.92M
$9,608
71.54
61,956
0.3869
438.08
AethirATH
$0.004657
0.1%
-0.8%
19.9%
$93.63M
$116,960
71.03
AI+2
54,604
0.2757
Aethir TokenATH
$0.004657
0.1%
-0.8%
19.9%
$95.05M
$41,869
70.76
AI+2
140,421
0.2633
IOIO
$0.1303
1.3%
0.3%
17.5%
$43.49M
$28,030
69.71
85,200
0.3355
GoMining TokenGMT
$0.3553
-1.1%
-3.7%
24.6%
$143.33M
$40,308
69.47
19,151
0.3289
Render TokenRNDR
$1.395
0.6%
-4.7%
11.4%
$719.40M
$146,412
67.36
92,806
0.1056
Golem Network TokenGLM
$0.1119
5.6%
0.3%
27.7%
$111.48M
$2,870
67.34
20,060
0.3938
Pocket NetworkPOKT
$0.008105
-0.1%
4.4%
18.8%
$19.50M
$8,221
66.38
9,647
0.4418
OVROVR
$0.03369
1.1%
3.0%
30.3%
$2.98M
$577.2
66.2
16,433
0.4554
Livepeer TokenLPT
$1.378
1.0%
-6.0%
16.5%
$68.50M
$19,895
64.44
196,528
0.0758
DolphinPOD
$0.2837
-7.0%
0.5%
-20.4%
$25.34M
$541,256
63.71
5,843
0.1773
aleph.im v2ALEPH
$0.01043
-0.2%
-14.4%
6.8%
$3.59M
$217
62.96
13,520
0.4583
OpenGPUoGPU
$0.03032
-1.6%
-10.1%
-6.9%
$601,950
$1,138
62.02
5,965
0.5464
CAPACITRCAPACITR
$0.05144
6.6%
-23.9%
97.0%
$143,585
$10,649
60.83
1,419
0.3895
GalvanIZE
$0.01813
1.7%
-0.4%
48,754.8%
$206.14M
$483.21
57.43
9,673
0.5416
DeepTokenDN
$0.03851
-1.0%
32.4%
23.2%
$878,174
$166,906
55.74
AI+1
40,188
0.2816
JatevoJTVO
$0.0001267
0.2%
-9.5%
-10.5%
$123,678
$2,127
55.62
3,826
0.5541
GoMining TokenGMT
$0.3553
-1.1%
-3.7%
24.6%
$142.78M
$31,746
55.23
29,563
0.3648
FluenceFLT
$0.0047
8.8%
-22.8%
161.0%
$1.56M
$19,332
52.41
7,551
0.3324
ComputeBaseCOMPUTE
$0.06199
4.5%
3.8%
24.3%
$20,042
$19.26
50.67
712
0.1129
NodewavesNWS
$0.05121
7.1%
-12.0%
-84.6%
$12,038
$9.997
50.55
9,776
0.3618
JANCTIONJCT
$0.001557
2.2%
-9.9%
-57.5%
$17.86M
$345,566
50.35
15,357
0.288
EdgeMatrix Computing networkEMC
$0.0003499
-12.8%
-56.5%
-80.7%
$71,731
$282.37
41.24
12,359
0.2678

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.