Nvidia RTX 4070 — 挖矿
<strong>Nvidia RTX 4070</strong> 每天净赚 最高 <strong class="green">$0.43</strong>,最佳为挖 <strong>Octopus</strong> 算力 58.2092 Mh/s。 也可用于:出售 KAWPOW 算力($0.10/天)。 功耗 173 W — 按 $0.10/kWh 计算,按当前行情有利润。
Nvidia RTX 4070 挖 Octopus 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。
此 GPU 仅有 ? GB 显存 — 大多数 AI 市场要求至少 12 GB。
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 | $0.85 | $25.46 |
|
成本
$0.1/kWh
|
$0.42 | $12.60 |
| 利润 | $0.43 | $12.86 |
算法收益历史 ▶ Octopus
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 | $0.85 | $25.50 |
|
成本
$0.1/kWh
|
$0.42 | $12.60 |
| 利润 | $0.43 | $12.90 |
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
CFX
⚠
Conflux
|
Octopus
58.2092Mh · 173.0W
|
$0.85 | $0.42 | $0.43 |
|
BEAM
⚠
Beam
|
BeamHashIII
48.56Hh · 188.0W
|
$0.20 | $0.45 | $-0.25 |
|
AE
⚠
Aeternity
|
CuckooCycle
10.11Hh · 186.0W
|
$0.14 | $0.45 | $-0.31 |
|
RVN
Ravencoin
|
KAWPOW
30.0441Mh · 200.0W
|
$0.12 | $0.48 | $-0.36 |
ERG
⚠
Ergo
|
Autolykos2
120.0351Mh · 125.0W
|
$0.07 | $0.30 | $-0.23 |
|
ETC
Ethereum Classic
|
Etchash
58.442Mh · 170.0W
|
$0.05 | $0.41 | $-0.36 |
|
MONA
⚠
Monacoin
|
Lyra2REv2
110.7415Mh · 192.0W
|
$0.01 | $0.46 | $-0.45 |
NEXA
⚠
Nexa
|
NexaPoW
8.4138Mh · 91.0W
|
— | $0.22 | — |
KAS
Kaspa
|
KHeavyHash
959.5945Mh · 198.0W
|
— | $0.48 | — |
|
—
|
Ethash
58.442Mh · 170.0W
|
— | $0.41 | — |
|
—
|
PHI1612
42.028Mh · 157.0W
|
— | $0.38 | — |
|
—
|
Memehash
107.9657Mh · 180.0W
|
— | $0.43 | — |
|
—
|
Equihash(144,5)
96.3Hh · 199.0W
|
— | $0.48 | — |
|
—
|
PyrinHash
7.1359Gh · 142.0W
|
— | $0.34 | — |
|
—
|
Keccak
1.857Gh · 181.0W
|
— | $0.43 | — |
|
—
|
ProgPowSERO
29.7194Mh · 178.0W
|
— | $0.43 | — |
|
—
|
Equihash210_9
368.04Hh · 177.0W
|
— | $0.42 | — |
|
—
|
HeavyHash
825.2037Mh · 186.0W
|
— | $0.45 | — |
|
VRSC
⚠
Verus
|
VerusHash
16.8381Mh · 157.0W
|
— | $0.38 | — |
|
—
|
KarlsenHashV2
1.6879Gh · 188.0W
|
— | $0.45 | — |
|
—
|
SHA256DT
3.5833Gh · 199.0W
|
— | $0.48 | — |
|
—
|
Blake (2s)
10.9595Gh · 199.0W
|
— | $0.48 | — |
|
—
|
BCD
31.8766Mh · 187.0W
|
— | $0.45 | — |
|
—
|
ProgPowZ
29.7195Mh · 175.0W
|
— | $0.42 | — |
|
—
|
X25X
3.2302Mh · 108.0W
|
— | $0.26 | — |
|
—
|
EvrProgPow
19.4837Mh · 189.0W
|
— | $0.45 | — |
|
—
|
Equihash192_7
45Hh · 184.0W
|
— | $0.44 | — |
|
FTC
⚠
Feathercoin
|
NeoScrypt
2.4749Mh · 184.0W
|
— | $0.44 | — |
|
—
|
Blake3
1.7553Gh · 99.0W
|
— | $0.24 | — |
|
—
|
HMQ1725
12.7813Mh · 181.0W
|
— | $0.43 | — |
|
—
|
X16RT
26.9144Mh · 184.0W
|
— | $0.44 | — |
|
—
|
Equihash(125,4)
68.381Hh · 186.0W
|
— | $0.45 | — |
|
—
|
Xevan
7.8252Mh · 168.0W
|
— | $0.40 | — |
|
—
|
Keccak-C
1.8529Gh · 185.0W
|
— | $0.44 | — |
|
—
|
X16Rv2
24.9943Mh · 187.0W
|
— | $0.45 | — |
|
LTZ
⚠
Litecoinz
|
Zhash
90.9Hh · 199.0W
|
— | $0.48 | — |
|
—
|
vProgPow
9.6892Mh · 193.0W
|
— | $0.46 | — |
|
—
|
X21S
18.5821Mh · 174.0W
|
— | $0.42 | — |
|
—
|
Skein2
1.1965Gh · 199.0W
|
— | $0.48 | — |
FIRO
Firo
|
FiroPoW
29.4972Mh · 176.0W
|
— | $0.42 | — |
ACM
⚠
Actinium
|
Lyra2z
8.2824Mh · 110.0W
|
— | $0.26 | — |
|
—
|
ProgPowVeil
29.9741Mh · 175.0W
|
— | $0.42 | — |
|
—
|
X16R
26.9675Mh · 189.0W
|
— | $0.45 | — |
|
—
|
Radiant
1.3103Gh · 187.0W
|
— | $0.45 | — |
|
—
|
Tribus
129.0154Mh · 169.0W
|
— | $0.41 | — |
|
—
|
Ubqhash
56.8672Mh · 166.0W
|
— | $0.40 | — |
|
—
|
GhostRider
1.266Kh · 102.0W
|
— | $0.24 | — |
|
—
|
Curvehash
6.8321Mh · 139.0W
|
— | $0.33 | — |
净算力市场收入历史
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $0.32 | $9.48 |
|
成本
$0.1/kWh
|
$0.42 | $12.60 |
| 利润 | $-0.10 | $-3.12 |
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Nvidia RTX 4070 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 | 16.44 kg |
| Nuclear | 17.94 kg |
| Hydroelectric | 35.87 kg |
| Geothermal | 56.8 kg |
| Solar | 67.26 kg |
| Biofuels | 343.79 kg |
| Gas | 732.41 kg |
| Coal | 1,225.67 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 4070 running 24/7 for a year releases about 710 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 4070's annual footprint swings from roughly 1,226 kg on coal-heavy grids down to about 36 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.
此 GPU 仅有 ? GB 显存 — 大多数 AI 市场要求至少 12 GB。
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 | $0.85 | $25.46 |
|
成本
$0.1/kWh
|
$0.42 | $12.60 |
| 利润 | $0.43 | $12.86 |
算法收益历史 ▶ Octopus
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 | $0.85 | $25.50 |
|
成本
$0.1/kWh
|
$0.42 | $12.60 |
| 利润 | $0.43 | $12.90 |
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
CFX
⚠
Conflux
|
Octopus
58.2092Mh · 173.0W
|
$0.85 | $0.42 | $0.43 |
|
BEAM
⚠
Beam
|
BeamHashIII
48.56Hh · 188.0W
|
$0.20 | $0.45 | $-0.25 |
|
AE
⚠
Aeternity
|
CuckooCycle
10.11Hh · 186.0W
|
$0.14 | $0.45 | $-0.31 |
|
RVN
Ravencoin
|
KAWPOW
30.0441Mh · 200.0W
|
$0.12 | $0.48 | $-0.36 |
ERG
⚠
Ergo
|
Autolykos2
120.0351Mh · 125.0W
|
$0.07 | $0.30 | $-0.23 |
|
ETC
Ethereum Classic
|
Etchash
58.442Mh · 170.0W
|
$0.05 | $0.41 | $-0.36 |
|
MONA
⚠
Monacoin
|
Lyra2REv2
110.7415Mh · 192.0W
|
$0.01 | $0.46 | $-0.45 |
NEXA
⚠
Nexa
|
NexaPoW
8.4138Mh · 91.0W
|
— | $0.22 | — |
KAS
Kaspa
|
KHeavyHash
959.5945Mh · 198.0W
|
— | $0.48 | — |
|
—
|
Ethash
58.442Mh · 170.0W
|
— | $0.41 | — |
|
—
|
PHI1612
42.028Mh · 157.0W
|
— | $0.38 | — |
|
—
|
Memehash
107.9657Mh · 180.0W
|
— | $0.43 | — |
|
—
|
Equihash(144,5)
96.3Hh · 199.0W
|
— | $0.48 | — |
|
—
|
PyrinHash
7.1359Gh · 142.0W
|
— | $0.34 | — |
|
—
|
Keccak
1.857Gh · 181.0W
|
— | $0.43 | — |
|
—
|
ProgPowSERO
29.7194Mh · 178.0W
|
— | $0.43 | — |
|
—
|
Equihash210_9
368.04Hh · 177.0W
|
— | $0.42 | — |
|
—
|
HeavyHash
825.2037Mh · 186.0W
|
— | $0.45 | — |
|
VRSC
⚠
Verus
|
VerusHash
16.8381Mh · 157.0W
|
— | $0.38 | — |
|
—
|
KarlsenHashV2
1.6879Gh · 188.0W
|
— | $0.45 | — |
|
—
|
SHA256DT
3.5833Gh · 199.0W
|
— | $0.48 | — |
|
—
|
Blake (2s)
10.9595Gh · 199.0W
|
— | $0.48 | — |
|
—
|
BCD
31.8766Mh · 187.0W
|
— | $0.45 | — |
|
—
|
ProgPowZ
29.7195Mh · 175.0W
|
— | $0.42 | — |
|
—
|
X25X
3.2302Mh · 108.0W
|
— | $0.26 | — |
|
—
|
EvrProgPow
19.4837Mh · 189.0W
|
— | $0.45 | — |
|
—
|
Equihash192_7
45Hh · 184.0W
|
— | $0.44 | — |
|
FTC
⚠
Feathercoin
|
NeoScrypt
2.4749Mh · 184.0W
|
— | $0.44 | — |
|
—
|
Blake3
1.7553Gh · 99.0W
|
— | $0.24 | — |
|
—
|
HMQ1725
12.7813Mh · 181.0W
|
— | $0.43 | — |
|
—
|
X16RT
26.9144Mh · 184.0W
|
— | $0.44 | — |
|
—
|
Equihash(125,4)
68.381Hh · 186.0W
|
— | $0.45 | — |
|
—
|
Xevan
7.8252Mh · 168.0W
|
— | $0.40 | — |
|
—
|
Keccak-C
1.8529Gh · 185.0W
|
— | $0.44 | — |
|
—
|
X16Rv2
24.9943Mh · 187.0W
|
— | $0.45 | — |
|
LTZ
⚠
Litecoinz
|
Zhash
90.9Hh · 199.0W
|
— | $0.48 | — |
|
—
|
vProgPow
9.6892Mh · 193.0W
|
— | $0.46 | — |
|
—
|
X21S
18.5821Mh · 174.0W
|
— | $0.42 | — |
|
—
|
Skein2
1.1965Gh · 199.0W
|
— | $0.48 | — |
FIRO
Firo
|
FiroPoW
29.4972Mh · 176.0W
|
— | $0.42 | — |
ACM
⚠
Actinium
|
Lyra2z
8.2824Mh · 110.0W
|
— | $0.26 | — |
|
—
|
ProgPowVeil
29.9741Mh · 175.0W
|
— | $0.42 | — |
|
—
|
X16R
26.9675Mh · 189.0W
|
— | $0.45 | — |
|
—
|
Radiant
1.3103Gh · 187.0W
|
— | $0.45 | — |
|
—
|
Tribus
129.0154Mh · 169.0W
|
— | $0.41 | — |
|
—
|
Ubqhash
56.8672Mh · 166.0W
|
— | $0.40 | — |
|
—
|
GhostRider
1.266Kh · 102.0W
|
— | $0.24 | — |
|
—
|
Curvehash
6.8321Mh · 139.0W
|
— | $0.33 | — |
净算力市场收入历史
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $0.32 | $9.48 |
|
成本
$0.1/kWh
|
$0.42 | $12.60 |
| 利润 | $-0.10 | $-3.12 |
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Nvidia RTX 4070 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 | 16.44 kg |
| Nuclear | 17.94 kg |
| Hydroelectric | 35.87 kg |
| Geothermal | 56.8 kg |
| Solar | 67.26 kg |
| Biofuels | 343.79 kg |
| Gas | 732.41 kg |
| Coal | 1,225.67 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 4070 running 24/7 for a year releases about 710 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 4070's annual footprint swings from roughly 1,226 kg on coal-heavy grids down to about 36 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.