Nvidia GeForce RTX 5070 Ti — 挖矿
Nvidia GeForce RTX 5070 Ti 每天净赚 最高 $3.83,最佳为挖 FishHash 算力 69 Mh/s。 也可用于:AI 出租 $0.11/小时($2.19/天) and 出售 KAWPOW 算力($0.10/天)。 功耗 230 W — 按 $0.10/kWh 计算,按当前行情有利润。
Nvidia GeForce RTX 5070 Ti 挖 FishHash 效率最高。本页包含完整的算法排行榜、联合挖矿选项、推荐矿池,以及可点击任意一行切换的历史收益图表。
每日预测
每日各收入流的胜出值 — 来自该矿机的历史记录,在 $0.1/kWh 下计算的平均值
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $4.38 | $131.49 |
|
成本
$0.1/kWh
|
$0.55 | $16.50 |
| 利润 | $3.83 | $114.99 |
算法收益历史 ▶ FishHash
若以 $0.1/kWh 持续挖该算法,每日净收益 $/天。点击上方任意算法可切换。
每日预测
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $4.38 | $131.40 |
|
成本
$0.1/kWh
|
$0.55 | $16.50 |
| 利润 | $3.83 | $114.90 |
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
IRON
⚠
Iron Fish
|
FishHash
69Mh · 230.0W
|
$4.38 | $0.55 | $3.83 |
CFX
⚠
Conflux
|
Octopus
88Mh · 180.0W
|
$1.31 | $0.43 | $0.88 |
|
RVN
Ravencoin
|
KAWPOW
43Mh · 190.0W
|
$0.18 | $0.46 | $-0.28 |
ERG
⚠
Ergo
|
Autolykos2
195Mh · 100.0W
|
$0.12 | $0.24 | $-0.12 |
NEXA
⚠
Nexa
|
NexaPoW
180Mh · 200.0W
|
$0.10 | $0.48 | $-0.38 |
|
ETC
Ethereum Classic
|
Etchash
88Mh · 150.0W
|
$0.07 | $0.36 | $-0.29 |
|
—
|
Qhash
305Mh · 200.0W
|
— | $0.48 | — |
|
—
|
Blake3
3.3Gh · 170.0W
|
— | $0.41 | — |
|
LTZ
⚠
Litecoinz
|
Zhash
100Hh · 170.0W
|
— | $0.41 | — |
|
—
|
XelisHashV2
64Kh · 150.0W
|
— | $0.36 | — |
|
—
|
Ethash
88Mh · 150.0W
|
— | $0.36 | — |
|
EPIC
⚠
Epic Cash
|
ProgPow
46Mh · 220.0W
|
— | $0.53 | — |
| 平台 | GPU | 收入 | 成本 | 利润 |
|---|---|---|---|---|
|
Vast.ai
GPU 市场
|
RTX 5070 Ti
$0.134/h ·
3 个报价
|
$2.74
|
$0.55 |
$2.19
★
访问 →
|
收入流 Nvidia GeForce RTX 5070 Ti 在 AI GPU 出租市场上的收益路径 how we got $2.19/day · ▾
Nvidia GeForce RTX 5070 Ti 挖 FishHash 每日 $3.83,目前仍高于 AI 市场出租的 $2.19/日。出租费率每日变动,建议经常复查。
净租赁收入历史
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $2.74 | $82.20 |
|
成本
$0.1/kWh
|
$0.55 | $16.50 |
| 利润 | $2.19 | $65.70 |
净算力市场收入历史
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $0.45 | $13.57 |
|
成本
$0.1/kWh
|
$0.55 | $16.50 |
| 利润 | $-0.10 | $-2.93 |
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Nvidia GeForce RTX 5070 Ti 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 | 21.86 kg |
| Nuclear | 23.85 kg |
| Hydroelectric | 47.69 kg |
| Geothermal | 75.51 kg |
| Solar | 89.42 kg |
| Biofuels | 457.06 kg |
| Gas | 973.73 kg |
| Coal | 1,629.5 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 GeForce RTX 5070 Ti running 24/7 for a year releases about 944 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 GeForce RTX 5070 Ti's annual footprint swings from roughly 1,630 kg on coal-heavy grids down to about 48 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
每日各收入流的胜出值 — 来自该矿机的历史记录,在 $0.1/kWh 下计算的平均值
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $4.38 | $131.49 |
|
成本
$0.1/kWh
|
$0.55 | $16.50 |
| 利润 | $3.83 | $114.99 |
算法收益历史 ▶ FishHash
若以 $0.1/kWh 持续挖该算法,每日净收益 $/天。点击上方任意算法可切换。
每日预测
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $4.38 | $131.40 |
|
成本
$0.1/kWh
|
$0.55 | $16.50 |
| 利润 | $3.83 | $114.90 |
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
IRON
⚠
Iron Fish
|
FishHash
69Mh · 230.0W
|
$4.38 | $0.55 | $3.83 |
CFX
⚠
Conflux
|
Octopus
88Mh · 180.0W
|
$1.31 | $0.43 | $0.88 |
|
RVN
Ravencoin
|
KAWPOW
43Mh · 190.0W
|
$0.18 | $0.46 | $-0.28 |
ERG
⚠
Ergo
|
Autolykos2
195Mh · 100.0W
|
$0.12 | $0.24 | $-0.12 |
NEXA
⚠
Nexa
|
NexaPoW
180Mh · 200.0W
|
$0.10 | $0.48 | $-0.38 |
|
ETC
Ethereum Classic
|
Etchash
88Mh · 150.0W
|
$0.07 | $0.36 | $-0.29 |
|
—
|
Qhash
305Mh · 200.0W
|
— | $0.48 | — |
|
—
|
Blake3
3.3Gh · 170.0W
|
— | $0.41 | — |
|
LTZ
⚠
Litecoinz
|
Zhash
100Hh · 170.0W
|
— | $0.41 | — |
|
—
|
XelisHashV2
64Kh · 150.0W
|
— | $0.36 | — |
|
—
|
Ethash
88Mh · 150.0W
|
— | $0.36 | — |
|
EPIC
⚠
Epic Cash
|
ProgPow
46Mh · 220.0W
|
— | $0.53 | — |
| 平台 | GPU | 收入 | 成本 | 利润 |
|---|---|---|---|---|
|
Vast.ai
GPU 市场
|
RTX 5070 Ti
$0.134/h ·
3 个报价
|
$2.74
|
$0.55 |
$2.19
★
访问 →
|
收入流 Nvidia GeForce RTX 5070 Ti 在 AI GPU 出租市场上的收益路径 how we got $2.19/day · ▾
Nvidia GeForce RTX 5070 Ti 挖 FishHash 每日 $3.83,目前仍高于 AI 市场出租的 $2.19/日。出租费率每日变动,建议经常复查。
净租赁收入历史
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $2.74 | $82.20 |
|
成本
$0.1/kWh
|
$0.55 | $16.50 |
| 利润 | $2.19 | $65.70 |
净算力市场收入历史
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $0.45 | $13.57 |
|
成本
$0.1/kWh
|
$0.55 | $16.50 |
| 利润 | $-0.10 | $-2.93 |
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Nvidia GeForce RTX 5070 Ti 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 | 21.86 kg |
| Nuclear | 23.85 kg |
| Hydroelectric | 47.69 kg |
| Geothermal | 75.51 kg |
| Solar | 89.42 kg |
| Biofuels | 457.06 kg |
| Gas | 973.73 kg |
| Coal | 1,629.5 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 GeForce RTX 5070 Ti running 24/7 for a year releases about 944 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 GeForce RTX 5070 Ti's annual footprint swings from roughly 1,630 kg on coal-heavy grids down to about 48 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.