What GPUnet is
GPUnet (GPU) is a token issued on Ethereum, currently ranked 579th by market capitalization among the assets we track. GPUnet is an ecosystem token: it runs as a token on an existing smart-contract chain rather than operating its own base layer. Its data doesn't slot it into a clear sector beyond the network it's deployed on, so its specifics come from the project itself.
GPUnet (GPU) is a cryptocurrency designed to facilitate decentralized computing and enhance the performance of GPU-related tasks through its unique blockchain technology. It aims to empower users to maximize their GPU usage while contributing to a cohesive network.
How to approach GPUnet
Because GPUnet is a token on a larger network, it inherits that chain's infrastructure but stands on its own demand. The useful signals are liquidity, supply, and whatever the project documents — not a sector narrative our data can't confirm.
Background & fundamentals
GPUnet is issued as a token on Ethereum rather than running its own base-layer blockchain. In sector terms it is most often filed under Ethereum (ETH) Token (ERC-20), Recently Added, and Base Ecosystem.
Where GPUnet sits in the market
Trading around $0.0587, GPUnet carries a market capitalization of $597.27K. Around $38.66 changes hands across exchanges in a typical 24-hour window. That is a turnover of about 0.01% of the float — on the quieter side, which can mean thinner liquidity for large orders.
Almost the entire GPU supply is already in circulation (~100.0% of the 200M cap), so future dilution is effectively off the table. GPU remains -72% beneath its all-time high of $0.2082, the kind of gap that historically takes a full cycle or a fresh catalyst to close.
What the price history shows
Recent moves read 24-hour -1.17%, 7-day +8.13%. GPU is currently trading near the bottom of its 366-day range (around the 0th percentile of recent closes).
Volatility profile
Recent action puts GPUnet in the Moderate-volatility band — it shows the kind of price movement common in mid-cap crypto assets — meaningful but not unusual.
How to evaluate GPUnet
A grounded read on GPU comes down to three questions:
- Liquidity — how deep and reliable trading in GPU actually is, since thin books amplify both moves.
- Supply dynamics — circulating versus maximum supply and the dilution that implies.
- Primary sources — what the project itself documents, because standardized sector data on GPU is limited.
This page pulls live market data, on-chain stats where available, exchange-by-exchange volume, and our forecast model into one view so you can work through those questions in a single place. None of it is investment advice — it is a structured starting point for your own research.