Nvidia GeForce RTX 4080 Super
Nvidia GeForce RTX 4080 Super earns $4.51 per day renting on the AI GPU marketplace at a median rate of $0.21/h, drawing 320W. At $0.1/kWh electricity, the daily power cost is $0.60.
每日预测 RENTAL
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $5.11 | $153.40 |
|
成本
$0.1/kWh
|
$0.60 | $18.00 |
| 利润 | $4.51 | $135.40 |
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
CFX
⚠
Conflux
|
Octopus
95Mh · 250.0W
|
$1.62 | $0.60 | $1.02 |
NEXA
⚠
Nexa
|
NexaPoW
170Mh · 280.0W
|
$0.29 | $0.67 | $-0.38 |
|
RVN
Ravencoin
|
KAWPOW
42Mh · 320.0W
|
$0.22 | $0.77 | $-0.55 |
ERG
⚠
Ergo
|
Autolykos2
220Mh · 320.0W
|
$0.13 | $0.77 | $-0.64 |
|
ETC
Ethereum Classic
|
Etchash
87Mh · 200.0W
|
$0.05 | $0.48 | $-0.43 |
|
ZEC
Zcash
|
Equihash
189Hh · 240.0W
|
$0.01 | $0.58 | $-0.57 |
IRON
⚠
Iron Fish
|
IronFish
34Gh · 240.0W
|
$0.01 | $0.58 | $-0.57 |
|
—
|
SHA3x
970Mh · 190.0W
|
— | $0.46 | — |
|
—
|
EvrProgPow
49.4Mh · 280.0W
|
— | $0.67 | — |
|
EPIC
⚠
Epic Cash
|
ProgPow
47Mh · 260.0W
|
— | $0.62 | — |
|
—
|
XelisHashV2
28.5Kh · 120.0W
|
— | $0.29 | — |
|
—
|
Blake3
3.75Gh · 270.0W
|
— | $0.65 | — |
|
—
|
Meraki
87Mh · 200.0W
|
— | $0.48 | — |
|
—
|
PyrinHash
12Gh · 270.0W
|
— | $0.65 | — |
|
—
|
KarlsenHashV2
2.6Gh · 210.0W
|
— | $0.50 | — |
|
—
|
Abelhash
89Mh · 200.0W
|
— | $0.48 | — |
|
—
|
zkSNARK
950Kh · 210.0W
|
— | $0.50 | — |
FIRO
Firo
|
FiroPoW
48.0Mh · 250.0W
|
— | $0.60 | — |
|
—
|
CryptoNightGPU
7.6Kh · 270.0W
|
— | $0.65 | — |
|
—
|
Cuckaroo29
11.5Hh · 190.0W
|
— | $0.46 | — |
|
GRIN
⚠
Grin
|
Cuckatoo32
1.4Hh · 250.0W
|
— | $0.60 | — |
|
VTC
⚠
Vertcoin
|
Verthash
8.7Gh · 240.0W
|
— | $0.58 | — |
|
—
|
MeowPow
49.4Mh · 250.0W
|
— | $0.60 | — |
|
—
|
Skydoge
1.65Gh · 150.0W
|
— | $0.36 | — |
|
—
|
Ton
9.2Gh · 260.0W
|
— | $0.62 | — |
|
—
|
Qhash
332Mh · 260.0W
|
— | $0.62 | — |
|
—
|
Ethash
95Mh · 320.0W
|
— | $0.77 | — |
|
LTZ
⚠
Litecoinz
|
Zhash
125Hh · 240.0W
|
— | $0.58 | — |
|
—
|
DynexSolve
8.5Kh · 180.0W
|
— | $0.43 | — |
|
—
|
Hoohash
710Mh · 160.0W
|
— | $0.38 | — |
- Mining algos
- 12
- Model
- RTX 4080 Super
- Power
- 280 W
- Release year
- 2022
- TDP
- 320 W
- Type
- GPU
- Vendor
- Nvidia
Nvidia GeForce RTX 4080 Super 在 AI GPU 出租市场上的收益路径
Nvidia GeForce RTX 4080 Super 出租给 AI 任务每日可赚 $5.65,明显超过挖 Octopus 的 $1.02/日。挖矿和出租互斥,此处 AI 市场是更优选择。
| 市场 | 算法 | 利润 /天 | |||
|---|---|---|---|---|---|
|
NiceHash
seller 24h-weighted avg
|
KAWPOW
0.00000006958 BTC/M/d
|
$-0.36
$0.24 收入 · $0.60 成本
访问 →
|
|||
MRR floor
6% rented · matches cheapest seller
|
KAWPOW
0.00000012233 BTC/M/d
|
$-0.18
$0.42 收入 · $0.60 成本
访问 →
|
|||
MRR recent
last 10 rentals · actual clearing price
|
KAWPOW
0.00000013103 BTC/M/d
|
$-0.15
★
$0.45 收入 · $0.60 成本
访问 →
|
|||
MRR asking
aspirational — seller wish, not matched
|
KAWPOW
0.00000012205 BTC/M/d
|
$-0.18
$0.42 收入 · $0.60 成本
|
|||
NexaPoW
|
|||||
|
NiceHash
seller 24h-weighted avg
|
NexaPoW
0.00000002104 BTC/M/d
|
$-0.31
$0.29 收入 · $0.60 成本
访问 →
|
|||
Octopus
|
|||||
|
NiceHash
seller 24h-weighted avg
|
Octopus
0.00000003346 BTC/M/d
|
$-0.34
$0.26 收入 · $0.60 成本
访问 →
|
|||
FishHash
|
|||||
|
NiceHash
seller 24h-weighted avg
|
FishHash
0.00000003158 BTC/M/d
|
$-0.44
$0.16 收入 · $0.60 成本
访问 →
|
|||
Autolykos2
|
|||||
|
NiceHash
seller 24h-weighted avg
|
Autolykos2
0.00000000649 BTC/M/d
|
$-0.48
$0.12 收入 · $0.60 成本
访问 →
|
|||
|
Ethash
|
|||||
|
NiceHash
seller 24h-weighted avg
|
Ethash
0.00000001459 BTC/M/d
|
$-0.49
$0.11 收入 · $0.60 成本
访问 →
|
|||
|
|
|||||
|
NiceHash
seller 24h-weighted avg
|
Etchash
0.00000000495 BTC/M/d
|
$-0.56
$0.04 收入 · $0.60 成本
访问 →
|
|||
MRR floor
4% rented · matches cheapest seller
|
Etchash
0.00000001340 BTC/M/d
|
$-0.50
$0.10 收入 · $0.60 成本
访问 →
|
|||
MRR asking
aspirational — seller wish, not matched
|
Etchash
0.00000001317 BTC/M/d
|
$-0.51
$0.09 收入 · $0.60 成本
|
|||
|
|
|||||
|
NiceHash
seller 24h-weighted avg
|
Zhash
0.00000000736 BTC/H/d
|
$-0.52
$0.08 收入 · $0.60 成本
访问 →
|
|||
|
|
|||||
|
NiceHash
seller 24h-weighted avg
|
Equihash
0.00000000069 BTC/H/d
|
$-0.59
$0.01 收入 · $0.60 成本
访问 →
|
|||
MRR floor
36% rented · matches cheapest seller
|
Equihash
0.00000000066 BTC/H/d
|
$-0.59
$0.01 收入 · $0.60 成本
访问 →
|
|||
MRR recent
last 10 rentals · actual clearing price
|
Equihash
0.00000000097 BTC/H/d
|
$-0.58
$0.02 收入 · $0.60 成本
访问 →
|
|||
MRR asking
aspirational — seller wish, not matched
|
Equihash
0.00000000079 BTC/H/d
|
$-0.59
$0.01 收入 · $0.60 成本
|
|||
|
Blake3
|
|||||
|
NiceHash
seller 24h-weighted avg
|
Blake3
0.00000000184 BTC/G/d
|
$-0.60
$0.00 收入 · $0.60 成本
访问 →
|
|||
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Nvidia GeForce RTX 4080 Super 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 | 23.76 kg |
| Nuclear | 25.92 kg |
| Hydroelectric | 51.84 kg |
| Geothermal | 82.08 kg |
| Solar | 97.2 kg |
| Biofuels | 496.8 kg |
| Gas | 1,058.4 kg |
| Coal | 1,771.2 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 4080 Super running 24/7 for a year releases about 1,026 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 4080 Super's annual footprint swings from roughly 1,771 kg on coal-heavy grids down to about 52 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 RENTAL
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $5.11 | $153.40 |
|
成本
$0.1/kWh
|
$0.60 | $18.00 |
| 利润 | $4.51 | $135.40 |
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
CFX
⚠
Conflux
|
Octopus
95Mh · 250.0W
|
$1.62 | $0.60 | $1.02 |
NEXA
⚠
Nexa
|
NexaPoW
170Mh · 280.0W
|
$0.29 | $0.67 | $-0.38 |
|
RVN
Ravencoin
|
KAWPOW
42Mh · 320.0W
|
$0.22 | $0.77 | $-0.55 |
ERG
⚠
Ergo
|
Autolykos2
220Mh · 320.0W
|
$0.13 | $0.77 | $-0.64 |
|
ETC
Ethereum Classic
|
Etchash
87Mh · 200.0W
|
$0.05 | $0.48 | $-0.43 |
|
ZEC
Zcash
|
Equihash
189Hh · 240.0W
|
$0.01 | $0.58 | $-0.57 |
IRON
⚠
Iron Fish
|
IronFish
34Gh · 240.0W
|
$0.01 | $0.58 | $-0.57 |
|
—
|
SHA3x
970Mh · 190.0W
|
— | $0.46 | — |
|
—
|
EvrProgPow
49.4Mh · 280.0W
|
— | $0.67 | — |
|
EPIC
⚠
Epic Cash
|
ProgPow
47Mh · 260.0W
|
— | $0.62 | — |
|
—
|
XelisHashV2
28.5Kh · 120.0W
|
— | $0.29 | — |
|
—
|
Blake3
3.75Gh · 270.0W
|
— | $0.65 | — |
|
—
|
Meraki
87Mh · 200.0W
|
— | $0.48 | — |
|
—
|
PyrinHash
12Gh · 270.0W
|
— | $0.65 | — |
|
—
|
KarlsenHashV2
2.6Gh · 210.0W
|
— | $0.50 | — |
|
—
|
Abelhash
89Mh · 200.0W
|
— | $0.48 | — |
|
—
|
zkSNARK
950Kh · 210.0W
|
— | $0.50 | — |
FIRO
Firo
|
FiroPoW
48.0Mh · 250.0W
|
— | $0.60 | — |
|
—
|
CryptoNightGPU
7.6Kh · 270.0W
|
— | $0.65 | — |
|
—
|
Cuckaroo29
11.5Hh · 190.0W
|
— | $0.46 | — |
|
GRIN
⚠
Grin
|
Cuckatoo32
1.4Hh · 250.0W
|
— | $0.60 | — |
|
VTC
⚠
Vertcoin
|
Verthash
8.7Gh · 240.0W
|
— | $0.58 | — |
|
—
|
MeowPow
49.4Mh · 250.0W
|
— | $0.60 | — |
|
—
|
Skydoge
1.65Gh · 150.0W
|
— | $0.36 | — |
|
—
|
Ton
9.2Gh · 260.0W
|
— | $0.62 | — |
|
—
|
Qhash
332Mh · 260.0W
|
— | $0.62 | — |
|
—
|
Ethash
95Mh · 320.0W
|
— | $0.77 | — |
|
LTZ
⚠
Litecoinz
|
Zhash
125Hh · 240.0W
|
— | $0.58 | — |
|
—
|
DynexSolve
8.5Kh · 180.0W
|
— | $0.43 | — |
|
—
|
Hoohash
710Mh · 160.0W
|
— | $0.38 | — |
- Mining algos
- 12
- Model
- RTX 4080 Super
- Power
- 280 W
- Release year
- 2022
- TDP
- 320 W
- Type
- GPU
- Vendor
- Nvidia
Nvidia GeForce RTX 4080 Super 在 AI GPU 出租市场上的收益路径
Nvidia GeForce RTX 4080 Super 出租给 AI 任务每日可赚 $5.65,明显超过挖 Octopus 的 $1.02/日。挖矿和出租互斥,此处 AI 市场是更优选择。
| 市场 | 算法 | 利润 /天 | |||
|---|---|---|---|---|---|
|
NiceHash
seller 24h-weighted avg
|
KAWPOW
0.00000006958 BTC/M/d
|
$-0.36
$0.24 收入 · $0.60 成本
访问 →
|
|||
MRR floor
6% rented · matches cheapest seller
|
KAWPOW
0.00000012233 BTC/M/d
|
$-0.18
$0.42 收入 · $0.60 成本
访问 →
|
|||
MRR recent
last 10 rentals · actual clearing price
|
KAWPOW
0.00000013103 BTC/M/d
|
$-0.15
★
$0.45 收入 · $0.60 成本
访问 →
|
|||
MRR asking
aspirational — seller wish, not matched
|
KAWPOW
0.00000012205 BTC/M/d
|
$-0.18
$0.42 收入 · $0.60 成本
|
|||
NexaPoW
|
|||||
|
NiceHash
seller 24h-weighted avg
|
NexaPoW
0.00000002104 BTC/M/d
|
$-0.31
$0.29 收入 · $0.60 成本
访问 →
|
|||
Octopus
|
|||||
|
NiceHash
seller 24h-weighted avg
|
Octopus
0.00000003346 BTC/M/d
|
$-0.34
$0.26 收入 · $0.60 成本
访问 →
|
|||
FishHash
|
|||||
|
NiceHash
seller 24h-weighted avg
|
FishHash
0.00000003158 BTC/M/d
|
$-0.44
$0.16 收入 · $0.60 成本
访问 →
|
|||
Autolykos2
|
|||||
|
NiceHash
seller 24h-weighted avg
|
Autolykos2
0.00000000649 BTC/M/d
|
$-0.48
$0.12 收入 · $0.60 成本
访问 →
|
|||
|
Ethash
|
|||||
|
NiceHash
seller 24h-weighted avg
|
Ethash
0.00000001459 BTC/M/d
|
$-0.49
$0.11 收入 · $0.60 成本
访问 →
|
|||
|
|
|||||
|
NiceHash
seller 24h-weighted avg
|
Etchash
0.00000000495 BTC/M/d
|
$-0.56
$0.04 收入 · $0.60 成本
访问 →
|
|||
MRR floor
4% rented · matches cheapest seller
|
Etchash
0.00000001340 BTC/M/d
|
$-0.50
$0.10 收入 · $0.60 成本
访问 →
|
|||
MRR asking
aspirational — seller wish, not matched
|
Etchash
0.00000001317 BTC/M/d
|
$-0.51
$0.09 收入 · $0.60 成本
|
|||
|
|
|||||
|
NiceHash
seller 24h-weighted avg
|
Zhash
0.00000000736 BTC/H/d
|
$-0.52
$0.08 收入 · $0.60 成本
访问 →
|
|||
|
|
|||||
|
NiceHash
seller 24h-weighted avg
|
Equihash
0.00000000069 BTC/H/d
|
$-0.59
$0.01 收入 · $0.60 成本
访问 →
|
|||
MRR floor
36% rented · matches cheapest seller
|
Equihash
0.00000000066 BTC/H/d
|
$-0.59
$0.01 收入 · $0.60 成本
访问 →
|
|||
MRR recent
last 10 rentals · actual clearing price
|
Equihash
0.00000000097 BTC/H/d
|
$-0.58
$0.02 收入 · $0.60 成本
访问 →
|
|||
MRR asking
aspirational — seller wish, not matched
|
Equihash
0.00000000079 BTC/H/d
|
$-0.59
$0.01 收入 · $0.60 成本
|
|||
|
Blake3
|
|||||
|
NiceHash
seller 24h-weighted avg
|
Blake3
0.00000000184 BTC/G/d
|
$-0.60
$0.00 收入 · $0.60 成本
访问 →
|
|||
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Nvidia GeForce RTX 4080 Super 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 | 23.76 kg |
| Nuclear | 25.92 kg |
| Hydroelectric | 51.84 kg |
| Geothermal | 82.08 kg |
| Solar | 97.2 kg |
| Biofuels | 496.8 kg |
| Gas | 1,058.4 kg |
| Coal | 1,771.2 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 4080 Super running 24/7 for a year releases about 1,026 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 4080 Super's annual footprint swings from roughly 1,771 kg on coal-heavy grids down to about 52 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.