LP Agent
NVIDIA GTX 970
NVIDIA GTX 970 每天净亏 $0.34 挖 BeamHashIII 算力 5 Hh/s 功耗 150.0 W. 这是在扣除 $0.1/kWh 电费后的结果 — 按当前行情暂未回本。
每日预测
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $0.54 | $16.09 |
|
成本
$0.1/kWh
|
$0.36 | $10.80 |
| 利润 | $0.18 | $5.29 |
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
|
FTC
⚠
Feathercoin
|
NeoScrypt
680Kh · 150.0W
|
— | $0.36 | — |
|
LTZ
⚠
Litecoinz
|
Zhash
28Hh · 150.0W
|
— | $0.36 | — |
|
BEAM
⚠
Beam
|
BeamHashIII
5Hh · 150.0W
|
$0.02 | $0.36 | $-0.34 |
|
ETC
Ethereum Classic
|
Etchash
17Mh · 150.0W
|
$0.01 | $0.36 | $-0.35 |
|
ZEC
Zcash
|
Equihash
291Hh · 150.0W
|
$0.01 | $0.36 | $-0.35 |
|
RVN
Ravencoin
|
KAWPOW
2Mh · 150.0W
|
$0.01 | $0.36 | $-0.35 |
|
MONA
⚠
Monacoin
|
Lyra2REv2
23.55Mh · 150.0W
|
— | $0.36 | — |
|
—
|
Blake3
1.51Gh · 150.0W
|
— | $0.36 | — |
|
—
|
Lbry
160Mh · 150.0W
|
— | $0.36 | — |
LP Agent
- Architecture
- Maxwell
- Model
- NVIDIA GTX 970
- Power
- 150 W
- Process
- 28 nm
- Release
- 2014
- Release year
- 2014
- TDP
- 150 W
- Type
- GPU
- Vendor
- Nvidia
| 市场 | 算法 | 利润 /天 | |||
|---|---|---|---|---|---|
|
MRR floor
0% rented · matches cheapest seller
|
Lyra2REv2
0.00000030000 BTC/M/d
|
$0.18
★
$0.54 收入 · $0.36 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
Lyra2REv2
0.00002520563 BTC/M/d
|
$44.70
★
$45.06 收入 · $0.36 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Lyra2REv2
0.00000054154 BTC/M/d
|
$0.61
$0.97 收入 · $0.36 成本
|
|||
| NeoScrypt | |||||
|
NiceHash
seller 24h-weighted avg
|
NeoScrypt
0.00000061820 BTC/M/d
|
$-0.33
$0.03 收入 · $0.36 成本
访问 →
|
|||
|
MRR floor
5% rented · matches cheapest seller
|
NeoScrypt
0.00000320000 BTC/M/d
|
$-0.19
★
$0.17 收入 · $0.36 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
NeoScrypt
0.00000314000 BTC/M/d
|
$-0.20
★
$0.16 收入 · $0.36 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
NeoScrypt
0.00000359000 BTC/M/d
|
$-0.17
$0.19 收入 · $0.36 成本
|
|||
| Zhash | |||||
|
NiceHash
seller 24h-weighted avg
|
Zhash
0.00000000691 BTC/H/d
|
$-0.35
$0.01 收入 · $0.36 成本
访问 →
|
|||
|
MRR floor
0% rented · matches cheapest seller
|
Zhash
0.00000007080 BTC/H/d
|
$-0.21
★
$0.15 收入 · $0.36 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
Zhash
0.00000008185 BTC/H/d
|
$-0.19
★
$0.17 收入 · $0.36 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Zhash
0.00000007080 BTC/H/d
|
$-0.21
$0.15 收入 · $0.36 成本
|
|||
| Lbry | |||||
|
MRR recent
last 10 rentals · actual clearing price
|
Lbry
0.00000089754 BTC/G/d
|
$-0.35
★
$0.01 收入 · $0.36 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Lbry
0.00000254881 BTC/G/d
|
$-0.33
$0.03 收入 · $0.36 成本
|
|||
| KAWPOW | |||||
|
NiceHash
seller 24h-weighted avg
|
KAWPOW
0.00000005582 BTC/M/d
|
$-0.35
$0.01 收入 · $0.36 成本
访问 →
|
|||
|
MRR floor
6% rented · matches cheapest seller
|
KAWPOW
0.00000010622 BTC/M/d
|
$-0.34
★
$0.02 收入 · $0.36 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
KAWPOW
0.00000018826 BTC/M/d
|
$-0.33
★
$0.03 收入 · $0.36 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
KAWPOW
0.00000012472 BTC/M/d
|
$-0.34
$0.02 收入 · $0.36 成本
|
|||
| Etchash | |||||
|
NiceHash
seller 24h-weighted avg
|
Etchash
0.00000000502 BTC/M/d
|
$-0.35
$0.01 收入 · $0.36 成本
访问 →
|
|||
|
MRR floor
10% rented · matches cheapest seller
|
Etchash
0.00000001320 BTC/M/d
|
$-0.34
★
$0.02 收入 · $0.36 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
Etchash
0.00000001625 BTC/M/d
|
$-0.34
★
$0.02 收入 · $0.36 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Etchash
0.00000001394 BTC/M/d
|
$-0.34
$0.02 收入 · $0.36 成本
|
|||
| BeamHashIII | |||||
|
NiceHash
seller 24h-weighted avg
|
BeamHashIII
0.00000004248 BTC/H/d
|
$-0.34
★
$0.02 收入 · $0.36 成本
访问 →
|
|||
| Equihash | |||||
|
NiceHash
seller 24h-weighted avg
|
Equihash
0.00000000048 BTC/H/d
|
$-0.35
$0.01 收入 · $0.36 成本
访问 →
|
|||
|
MRR floor
22% rented · matches cheapest seller
|
Equihash
0.00000000057 BTC/H/d
|
$-0.35
★
$0.01 收入 · $0.36 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
Equihash
0.00000000072 BTC/H/d
|
$-0.34
★
$0.02 收入 · $0.36 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Equihash
0.00000000072 BTC/H/d
|
$-0.34
$0.02 收入 · $0.36 成本
|
|||
| Blake3 | |||||
|
NiceHash
seller 24h-weighted avg
|
Blake3
0.00000000179 BTC/G/d
|
$-0.36
★
$0.00 收入 · $0.36 成本
访问 →
|
|||
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
NVIDIA GTX 970 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 | 14.26 kg |
| Nuclear | 15.55 kg |
| Hydroelectric | 31.1 kg |
| Geothermal | 49.25 kg |
| Solar | 58.32 kg |
| Biofuels | 298.08 kg |
| Gas | 635.04 kg |
| Coal | 1,062.72 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 GTX 970 running 24/7 for a year releases about 616 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 GTX 970's annual footprint swings from roughly 1,063 kg on coal-heavy grids down to about 31 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 | $0.54 | $16.09 |
|
成本
$0.1/kWh
|
$0.36 | $10.80 |
| 利润 | $0.18 | $5.29 |
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
|
FTC
⚠
Feathercoin
|
NeoScrypt
680Kh · 150.0W
|
— | $0.36 | — |
|
LTZ
⚠
Litecoinz
|
Zhash
28Hh · 150.0W
|
— | $0.36 | — |
|
BEAM
⚠
Beam
|
BeamHashIII
5Hh · 150.0W
|
$0.02 | $0.36 | $-0.34 |
|
ETC
Ethereum Classic
|
Etchash
17Mh · 150.0W
|
$0.01 | $0.36 | $-0.35 |
|
ZEC
Zcash
|
Equihash
291Hh · 150.0W
|
$0.01 | $0.36 | $-0.35 |
|
RVN
Ravencoin
|
KAWPOW
2Mh · 150.0W
|
$0.01 | $0.36 | $-0.35 |
|
MONA
⚠
Monacoin
|
Lyra2REv2
23.55Mh · 150.0W
|
— | $0.36 | — |
|
—
|
Blake3
1.51Gh · 150.0W
|
— | $0.36 | — |
|
—
|
Lbry
160Mh · 150.0W
|
— | $0.36 | — |
- Architecture
- Maxwell
- Model
- NVIDIA GTX 970
- Power
- 150 W
- Process
- 28 nm
- Release
- 2014
- Release year
- 2014
- TDP
- 150 W
- Type
- GPU
- Vendor
- Nvidia
| 市场 | 算法 | 利润 /天 | |||
|---|---|---|---|---|---|
|
MRR floor
0% rented · matches cheapest seller
|
Lyra2REv2
0.00000030000 BTC/M/d
|
$0.18
★
$0.54 收入 · $0.36 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
Lyra2REv2
0.00002520563 BTC/M/d
|
$44.70
★
$45.06 收入 · $0.36 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Lyra2REv2
0.00000054154 BTC/M/d
|
$0.61
$0.97 收入 · $0.36 成本
|
|||
| NeoScrypt | |||||
|
NiceHash
seller 24h-weighted avg
|
NeoScrypt
0.00000061820 BTC/M/d
|
$-0.33
$0.03 收入 · $0.36 成本
访问 →
|
|||
|
MRR floor
5% rented · matches cheapest seller
|
NeoScrypt
0.00000320000 BTC/M/d
|
$-0.19
★
$0.17 收入 · $0.36 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
NeoScrypt
0.00000314000 BTC/M/d
|
$-0.20
★
$0.16 收入 · $0.36 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
NeoScrypt
0.00000359000 BTC/M/d
|
$-0.17
$0.19 收入 · $0.36 成本
|
|||
| Zhash | |||||
|
NiceHash
seller 24h-weighted avg
|
Zhash
0.00000000691 BTC/H/d
|
$-0.35
$0.01 收入 · $0.36 成本
访问 →
|
|||
|
MRR floor
0% rented · matches cheapest seller
|
Zhash
0.00000007080 BTC/H/d
|
$-0.21
★
$0.15 收入 · $0.36 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
Zhash
0.00000008185 BTC/H/d
|
$-0.19
★
$0.17 收入 · $0.36 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Zhash
0.00000007080 BTC/H/d
|
$-0.21
$0.15 收入 · $0.36 成本
|
|||
| Lbry | |||||
|
MRR recent
last 10 rentals · actual clearing price
|
Lbry
0.00000089754 BTC/G/d
|
$-0.35
★
$0.01 收入 · $0.36 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Lbry
0.00000254881 BTC/G/d
|
$-0.33
$0.03 收入 · $0.36 成本
|
|||
| KAWPOW | |||||
|
NiceHash
seller 24h-weighted avg
|
KAWPOW
0.00000005582 BTC/M/d
|
$-0.35
$0.01 收入 · $0.36 成本
访问 →
|
|||
|
MRR floor
6% rented · matches cheapest seller
|
KAWPOW
0.00000010622 BTC/M/d
|
$-0.34
★
$0.02 收入 · $0.36 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
KAWPOW
0.00000018826 BTC/M/d
|
$-0.33
★
$0.03 收入 · $0.36 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
KAWPOW
0.00000012472 BTC/M/d
|
$-0.34
$0.02 收入 · $0.36 成本
|
|||
| Etchash | |||||
|
NiceHash
seller 24h-weighted avg
|
Etchash
0.00000000502 BTC/M/d
|
$-0.35
$0.01 收入 · $0.36 成本
访问 →
|
|||
|
MRR floor
10% rented · matches cheapest seller
|
Etchash
0.00000001320 BTC/M/d
|
$-0.34
★
$0.02 收入 · $0.36 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
Etchash
0.00000001625 BTC/M/d
|
$-0.34
★
$0.02 收入 · $0.36 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Etchash
0.00000001394 BTC/M/d
|
$-0.34
$0.02 收入 · $0.36 成本
|
|||
| BeamHashIII | |||||
|
NiceHash
seller 24h-weighted avg
|
BeamHashIII
0.00000004248 BTC/H/d
|
$-0.34
★
$0.02 收入 · $0.36 成本
访问 →
|
|||
| Equihash | |||||
|
NiceHash
seller 24h-weighted avg
|
Equihash
0.00000000048 BTC/H/d
|
$-0.35
$0.01 收入 · $0.36 成本
访问 →
|
|||
|
MRR floor
22% rented · matches cheapest seller
|
Equihash
0.00000000057 BTC/H/d
|
$-0.35
★
$0.01 收入 · $0.36 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
Equihash
0.00000000072 BTC/H/d
|
$-0.34
★
$0.02 收入 · $0.36 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Equihash
0.00000000072 BTC/H/d
|
$-0.34
$0.02 收入 · $0.36 成本
|
|||
| Blake3 | |||||
|
NiceHash
seller 24h-weighted avg
|
Blake3
0.00000000179 BTC/G/d
|
$-0.36
★
$0.00 收入 · $0.36 成本
访问 →
|
|||
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
NVIDIA GTX 970 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 | 14.26 kg |
| Nuclear | 15.55 kg |
| Hydroelectric | 31.1 kg |
| Geothermal | 49.25 kg |
| Solar | 58.32 kg |
| Biofuels | 298.08 kg |
| Gas | 635.04 kg |
| Coal | 1,062.72 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 GTX 970 running 24/7 for a year releases about 616 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 GTX 970's annual footprint swings from roughly 1,063 kg on coal-heavy grids down to about 31 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.