GPU AI (GPUAI) market snapshot:
Price $0.00751827, market capitalization $7.43M,
and reported 24-hour volume $1.60M.
Trading activity:
Reported 24-hour volume equals 21.54% of market capitalization.
YearBull indicators:
Bull Score 0/100.
YB Market Risk —. This relative market-volatility label is not an investment-safety assessment.
Observed price change: 24h 5,345.65% · 7d 5,583.60% · 30d 814.63%.
Values are descriptive and should be read together rather than as a price forecast.
Read the YearBull methodology.
Snapshot date: 2026-03-24.Data history: 80 daily observations available in the latest 90-day window.
Methodology responsibility:
YearBull’s analytical methodology and presentation rules are developed and maintained by
Alan Zelvin, Founder & Lead Crypto Researcher.
This note identifies responsibility for the methodology; it does not attribute authorship of this data snapshot.
What is GPU AI (GPUAI)?
Source description
“GPUAI is a decentralized compute network that connects idle GPUs worldwide to serve AI teams and developers. It provides on-demand access to distributed GPU clusters, enabling scalable deep learning model training, edge inference, and generative AI. By tokenizing compute resources, GPUAI creates a marketplace where users can pay for compute on a per-task basis while contributors earn rewards by sharing idle GPU power.”
This source-supplied description may contain old, promotional, or unverified claims and is not YearBull editorial analysis.
Official links and contract records appear in Key Facts. Project details can change, so verify current information with the project.
GPU AI (GPUAI) FAQ
How does GPUAI connect unused graphics processors with AI workloads?
The project states that GPUAI links idle GPUs around the world with AI teams and developers needing computing capacity. This creates a distributed marketplace in which participating machines can contribute processing power to workloads rather than leaving that capacity unused.
Which AI tasks does GPUAI say its distributed clusters can support?
GPUAI presents its network as supporting scalable deep-learning model training, edge inference, and generative-AI workloads. These functions cover both the development of models and the execution of trained models near users or devices, although the project does not specify supported frameworks, performance levels, or service guarantees.
How are computing resources paid for on the GPUAI network?
The project says users can obtain distributed GPU capacity on demand and pay for computing on a per-task basis. This structure is presented as a way to match payments with individual workloads, but GPUAI does not specify pricing formulas, minimum charges, settlement timing, or how tasks are measured.
How can GPU owners participate in GPUAI?
GPUAI says contributors can share idle GPU power with the network and earn rewards in return. The model treats unused hardware as a resource that can be offered to AI customers, while the project does not specify eligibility requirements, hardware standards, reward calculations, or how uptime and completed work are assessed.
What role does tokenization play in GPUAI’s marketplace?
The project positions tokenization as a mechanism for organizing and exchanging access to distributed computing resources. In its stated model, users pay for GPU work while contributors receive rewards, forming a marketplace around compute capacity. The project does not specify the token’s exact functions, supply design, or governance rights.
GPU AI metric comparison
This comparison is a stored snapshot generated 2026-10-23 06:31 UTC from 80 daily observations available from 2025-12-30 through 2026-03-24. It is separate from the latest analytical cards above. Percentiles compare the snapshot value with that day's analytical universe; a higher percentile means a larger observed value, not necessarily a better investment characteristic.
Metric
Snapshot
30d before
90d before
Change vs 30d
Universe percentile
Price
$0.00751827
$0.000822
n/a
+814.6%
n/a
Market cap
$7.43M
$821.7K
n/a
+804.4%
P82.0
YearBull Rank
#4,847
n/a
n/a
n/a
P23.7
Bull Score
65/100
n/a
n/a
n/a
P80.0
Turnover
21.54%
0.00%
n/a
+21.5 pts
P84.6
YB Market Risk
High
Low
n/a
Low → High
n/a
Cycle
Late
Early
n/a
Early → Late
n/a
Median absolute daily movement 0.00%; distance from the highest local daily price 0.0%; circulating supply change 0.0%. These measurements are descriptive and do not predict future direction.
YearBull Rank timeline
Latest available YearBull Rank for gpu-ai: #4847.
Rank timeline (last 365 days)
Rank change (nearest points).
Reading rule: rank #120 sits higher than rank #200.
7d window: no reference point available.
30d window: no reference point available.
Downside posture: the same move can be stable in one market and fragile in another.
Liquidity context: a quiet tape can still re-rank the pack.
Venue angle: improvement with higher churn can be a rotation phase.
Trend context: a quick bounce can still be a mean-reversion phase.
YearBull Rank is a relative placement score used on YearBull to compare a coin against peers within the same dataset. It is best read as relative context across time windows, not as a guarantee.
Editorial note:
This analysis was prepared by the YearBull research team under the direction of
Alan Zelvin,
Founder and Lead Crypto Researcher.
The assessment follows YearBull’s internal research methodology and editorial standards.
Methodology ·
Editorial Policy
Related Research
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Stored venue snapshot. Markets last checked: 2026-03-11. Updated on a rolling basis; no fixed refresh date is promised. Venue listings and volumes are stored snapshots, not live quotes.
Current YearBull daily analytics are not available for this asset yet; market listings have separate freshness.
No exchange markets were returned by the public venue source when last checked on 2026-03-11.
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