Nvidia RTX 3090Ti — 算力市场
Nvidia RTX 3090Ti 每天净亏 $0.34 挖 NexaPoW 算力 141.2269 Mh/s 功耗 238.0 W. 这是在扣除 $0.1/kWh 电费后的结果 — 按当前行情暂未回本。
出售 Nvidia RTX 3090Ti 算力,而非直接挖矿。每一行展示来自 NiceHash 与 Mining Rig Rentals 的实时 NexaPoW 价格 — 订单簿深度、加权价格,以及在 $0.1/kWh 下扣除电费后的日利润。
每日预测
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $0.80 | $23.87 |
|
成本
$0.1/kWh
|
$0.57 | $17.10 |
| 利润 | $0.22 | $6.74 |
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
NEXA
⚠
Nexa
|
NexaPoW
141.2269Mh · 238.0W
|
$0.23 | $0.57 | $-0.34 |
|
ETC
Ethereum Classic
|
Etchash
132Mh · 346.0W
|
$0.07 | $0.83 | $-0.76 |
|
—
|
Ethash
132Mh · 346.0W
|
— | $0.83 | — |
|
—
|
KarlsenHashV2
1.4898Gh · 281.0W
|
— | $0.67 | — |
- Base Clock
- 1560 MHz
- Boost Clock
- 1860 MHz
- CUDA cores
- 10752
- GPU Power
- 450 W
- Max Memory Bandwidth
- 1008 GB/s
- Max Memory Size
- 24 GB
- Memory Type
- GDDR6X
- Release
- January 2022
| 市场 | 算法 | 利润 /天 | |||
|---|---|---|---|---|---|
NiceHash
seller 24h-weighted avg
|
NexaPoW
0.00000002113 BTC/M/d
|
$-0.34
$0.23 收入 · $0.57 成本
访问 →
|
|||
|
MRR
MRR floor
0% rented · matches cheapest seller
|
NexaPoW
0.00000007200 BTC/M/d
|
$0.23
★
$0.80 收入 · $0.57 成本
访问 →
|
|||
|
MRR
MRR recent
last 10 rentals · actual clearing price
|
NexaPoW
0.00000032850 BTC/M/d
|
$3.06
★
$3.63 收入 · $0.57 成本
访问 →
|
|||
|
MRR
MRR asking
aspirational — seller wish, not matched
|
NexaPoW
0.00000011682 BTC/M/d
|
$0.72
$1.29 收入 · $0.57 成本
|
|||
| Ethash | |||||
NiceHash
seller 24h-weighted avg
|
Ethash
0.00000001910 BTC/M/d
|
$-0.37
★
$0.20 收入 · $0.57 成本
访问 →
|
|||
| Etchash | |||||
NiceHash
seller 24h-weighted avg
|
Etchash
0.00000000550 BTC/M/d
|
$-0.51
$0.06 收入 · $0.57 成本
访问 →
|
|||
|
MRR
MRR floor
1% rented · matches cheapest seller
|
Etchash
0.00000001320 BTC/M/d
|
$-0.43
★
$0.14 收入 · $0.57 成本
访问 →
|
|||
|
MRR
MRR recent
last 10 rentals · actual clearing price
|
Etchash
0.00000001567 BTC/M/d
|
$-0.41
★
$0.16 收入 · $0.57 成本
访问 →
|
|||
|
MRR
MRR asking
aspirational — seller wish, not matched
|
Etchash
0.00000001217 BTC/M/d
|
$-0.44
$0.13 收入 · $0.57 成本
|
|||
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Nvidia RTX 3090Ti 的回本周期
测算此设备的回本周期、电费和首年收益。
曲线穿过零点即回本。之后全是利润。
| Month | Earned (mo) | Cost burned (mo) | Cumulative earned | Cumulative cost | Net | % ROI |
|---|
按能源来源的年度排放
基于年度耗电量和常见电网的碳强度。
| 能源来源 | CO₂e / 年 |
|---|---|
| Wind | 22.62 kg |
| Nuclear | 24.68 kg |
| Hydroelectric | 49.35 kg |
| Geothermal | 78.14 kg |
| Solar | 92.53 kg |
| Biofuels | 472.95 kg |
| Gas | 1,007.6 kg |
| Coal | 1,686.18 kg |
仅为估算 — 实际排放因硬件、冷却和电网而异。
这意味着什么?
At the world-average grid intensity of about 475 g CO₂e/kWh, Nvidia RTX 3090Ti running 24/7 for a year releases about 977 kg of carbon dioxide equivalent. Here's what that looks like in everyday terms:
你在哪里接电很重要
Electricity is not one thing. A kilowatt-hour from a coal plant carries roughly 820 g of CO₂; the same kilowatt-hour from a hydro reservoir carries about 24 g. That's a 34× difference — large enough that Nvidia RTX 3090Ti's annual footprint swings from roughly 1,686 kg on coal-heavy grids down to about 49 kg on hydro-dominated grids. The single biggest lever a miner has on their carbon footprint is choosing where to plug in.
Regions commonly used for low-carbon crypto mining include Quebec and British Columbia (hydro-dominated, typically <50 g CO₂/kWh), Iceland and Norway (geothermal + hydro, often <30 g), Paraguay (Itaipú hydro), and parts of the US Pacific Northwest. Coal-heavy grids — Kazakhstan, Inner Mongolia, Poland, parts of Australia — sit at the opposite end, often above 700 g CO₂/kWh.
Some operators also reduce their net impact by using otherwise-wasted energy: flare gas at oil wells (burning methane that would be vented anyway), curtailed renewables (wind or solar that the grid can't absorb), or behind-the-meter hydro during off-peak hours. These arrangements can drop effective emissions below the local grid average because the energy would have been wasted or flared without the mining load.
如何减少该矿机的碳足迹
- Pick a greener ASIC. The efficiency column above matters as much as the grid: a 15 J/TH rig emits roughly half the CO₂ of a 30 J/TH rig for the same hashrate.
- Choose a low-carbon host. Data centres advertising hydro, geothermal, or nuclear power typically sit at <100 g CO₂/kWh.
- Look for stranded or curtailed energy. Flare-gas miners, wind-curtailment co-location, and off-peak hydro arrangements use energy that would otherwise be wasted.
- Use heat recovery. Capturing the heat for greenhouse agriculture, pool heating, or district warmth offsets fossil-fuel heating that would have been burned anyway.
- Time-shift your uptime. In grids with high daytime solar, running more during the day and less at night lowers your effective intensity even if you don't switch providers.
- Purchase verifiable offsets. Treat this as a last resort, not a substitute — and favour additional, permanent, third-party-verified projects (Gold Standard, Verra VCS).
常见问题
Yearly electricity use = rig power (W) × 24 × 365 ÷ 1000. We multiply that by each row's grid intensity in grams CO₂-equivalent per kWh and convert to kilograms. Intensities are representative averages — real emissions depend on your specific utility mix, time of day, and local transmission losses.
It depends almost entirely on where the electricity comes from. A single rig plugged into hydro in Quebec emits less over a year than an average family's two cars in a month. The same rig on a coal-dominated grid can exceed that in a few days. The hardware is the same — the grid is what changes the answer.
Network-wide estimates vary by methodology; the Cambridge Centre for Alternative Finance's Bitcoin Electricity Consumption Index is the most widely cited reference. As of recent reporting, the network's sustainable-energy share has grown as more hashrate migrates to hydro, wind, solar, and stranded-gas sites. This page just estimates a single rig — for the big picture, CCAF's dashboard is the best source.
Not directly. The rig draws the same wattage regardless of which pool it joins or how difficulty trends — so its electricity use, and therefore its emissions, stay constant. Those factors change revenue, not power consumption.
每日预测
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $0.80 | $23.87 |
|
成本
$0.1/kWh
|
$0.57 | $17.10 |
| 利润 | $0.22 | $6.74 |
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
NEXA
⚠
Nexa
|
NexaPoW
141.2269Mh · 238.0W
|
$0.23 | $0.57 | $-0.34 |
|
ETC
Ethereum Classic
|
Etchash
132Mh · 346.0W
|
$0.07 | $0.83 | $-0.76 |
|
—
|
Ethash
132Mh · 346.0W
|
— | $0.83 | — |
|
—
|
KarlsenHashV2
1.4898Gh · 281.0W
|
— | $0.67 | — |
- Base Clock
- 1560 MHz
- Boost Clock
- 1860 MHz
- CUDA cores
- 10752
- GPU Power
- 450 W
- Max Memory Bandwidth
- 1008 GB/s
- Max Memory Size
- 24 GB
- Memory Type
- GDDR6X
- Release
- January 2022
| 市场 | 算法 | 利润 /天 | |||
|---|---|---|---|---|---|
NiceHash
seller 24h-weighted avg
|
NexaPoW
0.00000002113 BTC/M/d
|
$-0.34
$0.23 收入 · $0.57 成本
访问 →
|
|||
|
MRR
MRR floor
0% rented · matches cheapest seller
|
NexaPoW
0.00000007200 BTC/M/d
|
$0.23
★
$0.80 收入 · $0.57 成本
访问 →
|
|||
|
MRR
MRR recent
last 10 rentals · actual clearing price
|
NexaPoW
0.00000032850 BTC/M/d
|
$3.06
★
$3.63 收入 · $0.57 成本
访问 →
|
|||
|
MRR
MRR asking
aspirational — seller wish, not matched
|
NexaPoW
0.00000011682 BTC/M/d
|
$0.72
$1.29 收入 · $0.57 成本
|
|||
| Ethash | |||||
NiceHash
seller 24h-weighted avg
|
Ethash
0.00000001910 BTC/M/d
|
$-0.37
★
$0.20 收入 · $0.57 成本
访问 →
|
|||
| Etchash | |||||
NiceHash
seller 24h-weighted avg
|
Etchash
0.00000000550 BTC/M/d
|
$-0.51
$0.06 收入 · $0.57 成本
访问 →
|
|||
|
MRR
MRR floor
1% rented · matches cheapest seller
|
Etchash
0.00000001320 BTC/M/d
|
$-0.43
★
$0.14 收入 · $0.57 成本
访问 →
|
|||
|
MRR
MRR recent
last 10 rentals · actual clearing price
|
Etchash
0.00000001567 BTC/M/d
|
$-0.41
★
$0.16 收入 · $0.57 成本
访问 →
|
|||
|
MRR
MRR asking
aspirational — seller wish, not matched
|
Etchash
0.00000001217 BTC/M/d
|
$-0.44
$0.13 收入 · $0.57 成本
|
|||
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Nvidia RTX 3090Ti 的回本周期
测算此设备的回本周期、电费和首年收益。
曲线穿过零点即回本。之后全是利润。
| Month | Earned (mo) | Cost burned (mo) | Cumulative earned | Cumulative cost | Net | % ROI |
|---|
按能源来源的年度排放
基于年度耗电量和常见电网的碳强度。
| 能源来源 | CO₂e / 年 |
|---|---|
| Wind | 22.62 kg |
| Nuclear | 24.68 kg |
| Hydroelectric | 49.35 kg |
| Geothermal | 78.14 kg |
| Solar | 92.53 kg |
| Biofuels | 472.95 kg |
| Gas | 1,007.6 kg |
| Coal | 1,686.18 kg |
仅为估算 — 实际排放因硬件、冷却和电网而异。
这意味着什么?
At the world-average grid intensity of about 475 g CO₂e/kWh, Nvidia RTX 3090Ti running 24/7 for a year releases about 977 kg of carbon dioxide equivalent. Here's what that looks like in everyday terms:
你在哪里接电很重要
Electricity is not one thing. A kilowatt-hour from a coal plant carries roughly 820 g of CO₂; the same kilowatt-hour from a hydro reservoir carries about 24 g. That's a 34× difference — large enough that Nvidia RTX 3090Ti's annual footprint swings from roughly 1,686 kg on coal-heavy grids down to about 49 kg on hydro-dominated grids. The single biggest lever a miner has on their carbon footprint is choosing where to plug in.
Regions commonly used for low-carbon crypto mining include Quebec and British Columbia (hydro-dominated, typically <50 g CO₂/kWh), Iceland and Norway (geothermal + hydro, often <30 g), Paraguay (Itaipú hydro), and parts of the US Pacific Northwest. Coal-heavy grids — Kazakhstan, Inner Mongolia, Poland, parts of Australia — sit at the opposite end, often above 700 g CO₂/kWh.
Some operators also reduce their net impact by using otherwise-wasted energy: flare gas at oil wells (burning methane that would be vented anyway), curtailed renewables (wind or solar that the grid can't absorb), or behind-the-meter hydro during off-peak hours. These arrangements can drop effective emissions below the local grid average because the energy would have been wasted or flared without the mining load.
如何减少该矿机的碳足迹
- Pick a greener ASIC. The efficiency column above matters as much as the grid: a 15 J/TH rig emits roughly half the CO₂ of a 30 J/TH rig for the same hashrate.
- Choose a low-carbon host. Data centres advertising hydro, geothermal, or nuclear power typically sit at <100 g CO₂/kWh.
- Look for stranded or curtailed energy. Flare-gas miners, wind-curtailment co-location, and off-peak hydro arrangements use energy that would otherwise be wasted.
- Use heat recovery. Capturing the heat for greenhouse agriculture, pool heating, or district warmth offsets fossil-fuel heating that would have been burned anyway.
- Time-shift your uptime. In grids with high daytime solar, running more during the day and less at night lowers your effective intensity even if you don't switch providers.
- Purchase verifiable offsets. Treat this as a last resort, not a substitute — and favour additional, permanent, third-party-verified projects (Gold Standard, Verra VCS).
常见问题
Yearly electricity use = rig power (W) × 24 × 365 ÷ 1000. We multiply that by each row's grid intensity in grams CO₂-equivalent per kWh and convert to kilograms. Intensities are representative averages — real emissions depend on your specific utility mix, time of day, and local transmission losses.
It depends almost entirely on where the electricity comes from. A single rig plugged into hydro in Quebec emits less over a year than an average family's two cars in a month. The same rig on a coal-dominated grid can exceed that in a few days. The hardware is the same — the grid is what changes the answer.
Network-wide estimates vary by methodology; the Cambridge Centre for Alternative Finance's Bitcoin Electricity Consumption Index is the most widely cited reference. As of recent reporting, the network's sustainable-energy share has grown as more hashrate migrates to hydro, wind, solar, and stranded-gas sites. This page just estimates a single rig — for the big picture, CCAF's dashboard is the best source.
Not directly. The rig draws the same wattage regardless of which pool it joins or how difficulty trends — so its electricity use, and therefore its emissions, stay constant. Those factors change revenue, not power consumption.