OpenGPU Price
OGPURank 1789
OpenGPU (OGPU) Price Live Chart
OpenGPU(OGPU) price today is $0.2056, with a 24-hour trading volume of $99.23K and as such OpenGPU(OGPU) has a market cap of $4.03M, giving it a market dominance of 0.00013%. The OpenGPU(OGPU) price moved +13.92% in the last 24 hours.
OGPU Price Data
- 24h Turnover$99.23K
- All-Time High(ATH)$3.41
- 24h High$0.2309
- All-Time Low(ATL)$0.1401
- 24h Low$0.1781
OGPU Market Cap Infos
- Market Cap$4.03M
- Fully Diluted Valuation$4.31M
- Market Cap/FDV93.52%
- Market SentimentPositive
OGPU Supply
- Circulating Supply19.63M OGPU
- Total Supply21M OGPU
- Max Supply21M OGPU
OpenGPU(OGPU) is predicted to average $0.2029 in 2025, with a potential swing between the lowest price $0.1278 and the highest price $0.2191. By 2035, OpenGPU(OGPU) price could reach to $1.1, offering a potential +334.00% return from today’s price.
Year | Minimum Price | Highest Price | Average Price | Change |
|---|---|---|---|---|
2025 | $0.1278 | $0.2191 | $0.2029 | -1.00% |
2026 | $0.2025 | $0.2321 | $0.211 | +2.00% |
2027 | $0.2082 | $0.3035 | $0.2215 | +7.00% |
2028 | $0.2389 | $0.3334 | $0.2625 | +27.00% |
2029 | $0.1996 | $0.444 | $0.298 | +44.00% |
2030 | $0.2374 | $0.5528 | $0.371 | +80.00% |
2031 | $0.3418 | $0.6882 | $0.4619 | +124.00% |
2032 | $0.4313 | $0.7591 | $0.575 | +179.00% |
2033 | $0.547 | $0.9205 | $0.667 | +224.00% |
2034 | $0.6033 | $0.9922 | $0.7938 | +286.00% |
2035 | $0.6251 | $1.1 | $0.893 | +334.00% |
OpenGPU(OGPU) price has moved +13.92% in the last 24 hours, and -23.11% in the past 7 days. The price of OpenGPU(OGPU) is -34.21% in the past 30 days, and -61.22% over the last year.
Time period | Change amount | % Change |
|---|---|---|
1H | +$0.005872 | +2.94% |
24H | +$0.02512 | +13.92% |
7D | -$0.06179 | -23.11% |
30D | -$0.1069 | -34.21% |
1Y | -$0.3245 | -61.22% |
About OpenGPU (OGPU)
Contract
0x067def8...7525162f6
Explorers
etherscan.io
Website
opengpu.network
OPEN GPU Network Services platform leverages decentralized computing to enhance AI research and graphical processing tasks globally. By aggregating idle GPU resources from various nodes across the network, it enables scalable, efficient, and cost-effective computing power accessible to developers, researchers, and companies.
