LP Agent
Nvidia GeForce RTX 5090
Nvidia GeForce RTX 5090 earns $7.25 per day renting on the AI GPU marketplace at a median rate of $0.34/h, drawing 360W. At $0.1/kWh electricity, the daily power cost is $0.96.
每日预测 RENTAL
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $8.21 | $246.17 |
|
成本
$0.1/kWh
|
$0.96 | $28.80 |
| 利润 | $7.25 | $217.37 |
| 平台 | GPU | 收入 | 成本 | 利润 |
|---|---|---|---|---|
|
Vast.ai
GPU 市场
|
RTX 5090
$0.402/h ·
1 个报价
|
$8.21
|
$0.96 |
$7.25
★
访问 →
|
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
CFX
⚠
Conflux
|
Octopus
175Mh · 400.0W
|
$1.97 | $0.96 | $1.01 |
NEXA
⚠
Nexa
|
NexaPoW
360Mh · 400.0W
|
$0.60 | $0.96 | $-0.36 |
|
RVN
Ravencoin
|
KAWPOW
85Mh · 360.0W
|
$0.36 | $0.86 | $-0.50 |
ERG
⚠
Ergo
|
Autolykos2
580Mh · 310.0W
|
$0.24 | $0.74 | $-0.50 |
|
—
|
Ethash
160Mh · 290.0W
|
— | $0.70 | — |
|
ETC
Ethereum Classic
|
Etchash
160Mh · 290.0W
|
$0.08 | $0.70 | $-0.62 |
|
—
|
Blake3
7.5Gh · 400.0W
|
— | $0.96 | — |
|
IRON
⚠
Iron Fish
|
FishHash
160.0Mh · 290.0W
|
— | $0.70 | — |
|
—
|
Cuckaroo29
48.0Gh · 300.0W
|
— | $0.72 | — |
|
LTZ
⚠
Litecoinz
|
Zhash
190Hh · 280.0W
|
— | $0.67 | — |
|
—
|
XelisHashV2
130Kh · 350.0W
|
— | $0.84 | — |
|
EPIC
⚠
Epic Cash
|
ProgPow
85Mh · 360.0W
|
— | $0.86 | — |
LP Agent
- Architecture
- Blackwell
- Mining algos
- 13
- Model
- GeForce RTX 5090
- Power
- 400 W
- Process
- 4 nm
- Release
- 2025
- Release year
- 2025
- TDP
- 400 W
- Type
- GPU
- Vendor
- Nvidia
Nvidia GeForce RTX 5090 在 AI GPU 出租市场上的收益路径
| 平台 | GPU | 收入 | 成本 | 利润 |
|---|---|---|---|---|
|
Vast.ai
GPU 市场
|
RTX 5090
$0.402/h ·
1 个报价
|
$8.21
|
$0.96 |
$7.25
★
访问 →
|
Nvidia GeForce RTX 5090 出租给 AI 任务每日可赚 $7.25,明显超过挖 Octopus 的 $1.01/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
|
NexaPoW
0.00000002184 BTC/M/d
|
$-0.36
$0.60 收入 · $0.96 成本
访问 →
|
|||
|
MRR floor
0% rented · matches cheapest seller
|
NexaPoW
0.00000006693 BTC/M/d
|
$0.86
★
$1.82 收入 · $0.96 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
NexaPoW
0.00000032850 BTC/M/d
|
$7.99
★
$8.95 收入 · $0.96 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
NexaPoW
0.00000011682 BTC/M/d
|
$2.22
$3.18 收入 · $0.96 成本
|
|||
| Octopus | |||||
|
NiceHash
seller 24h-weighted avg
|
Octopus
0.00000003059 BTC/M/d
|
$-0.55
$0.41 收入 · $0.96 成本
访问 →
|
|||
|
MRR floor
0% rented · matches cheapest seller
|
Octopus
0.00000011000 BTC/M/d
|
$0.50
★
$1.46 收入 · $0.96 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
Octopus
0.00000064110 BTC/M/d
|
$7.54
★
$8.50 收入 · $0.96 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Octopus
0.00000014949 BTC/M/d
|
$1.02
$1.98 收入 · $0.96 成本
|
|||
| FishHash | |||||
|
NiceHash
seller 24h-weighted avg
|
FishHash
0.00000003164 BTC/M/d
|
$-0.58
$0.38 收入 · $0.96 成本
访问 →
|
|||
|
MRR floor
0% rented · matches cheapest seller
|
FishHash
0.00000012000 BTC/M/d
|
$0.49
★
$1.45 收入 · $0.96 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
FishHash
0.00000015078 BTC/M/d
|
$0.87
★
$1.83 收入 · $0.96 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
FishHash
0.00000024326 BTC/M/d
|
$1.99
$2.95 收入 · $0.96 成本
|
|||
| KAWPOW | |||||
|
NiceHash
seller 24h-weighted avg
|
KAWPOW
0.00000005563 BTC/M/d
|
$-0.60
$0.36 收入 · $0.96 成本
访问 →
|
|||
|
MRR floor
6% rented · matches cheapest seller
|
KAWPOW
0.00000010622 BTC/M/d
|
$-0.28
★
$0.68 收入 · $0.96 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
KAWPOW
0.00000018826 BTC/M/d
|
$0.25
★
$1.21 收入 · $0.96 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
KAWPOW
0.00000012485 BTC/M/d
|
$-0.16
$0.80 收入 · $0.96 成本
|
|||
| Zhash | |||||
|
NiceHash
seller 24h-weighted avg
|
Zhash
0.00000000684 BTC/H/d
|
$-0.86
$0.10 收入 · $0.96 成本
访问 →
|
|||
|
MRR floor
0% rented · matches cheapest seller
|
Zhash
0.00000007080 BTC/H/d
|
$0.06
★
$1.02 收入 · $0.96 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
Zhash
0.00000008185 BTC/H/d
|
$0.22
★
$1.18 收入 · $0.96 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Zhash
0.00000007080 BTC/H/d
|
$0.06
$1.02 收入 · $0.96 成本
|
|||
| Ethash | |||||
|
NiceHash
seller 24h-weighted avg
|
Ethash
0.00000002000 BTC/M/d
|
$-0.72
★
$0.24 收入 · $0.96 成本
访问 →
|
|||
| Autolykos2 | |||||
|
NiceHash
seller 24h-weighted avg
|
Autolykos2
0.00000000545 BTC/M/d
|
$-0.72
★
$0.24 收入 · $0.96 成本
访问 →
|
|||
| Etchash | |||||
|
NiceHash
seller 24h-weighted avg
|
Etchash
0.00000000503 BTC/M/d
|
$-0.90
$0.06 收入 · $0.96 成本
访问 →
|
|||
|
MRR floor
1% rented · matches cheapest seller
|
Etchash
0.00000001223 BTC/M/d
|
$-0.81
★
$0.15 收入 · $0.96 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
Etchash
0.00000001578 BTC/M/d
|
$-0.77
★
$0.19 收入 · $0.96 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Etchash
0.00000001214 BTC/M/d
|
$-0.81
$0.15 收入 · $0.96 成本
|
|||
| Blake3 | |||||
|
NiceHash
seller 24h-weighted avg
|
Blake3
0.00000000178 BTC/G/d
|
$-0.96
★
$0.00 收入 · $0.96 成本
访问 →
|
|||
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Nvidia GeForce RTX 5090 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 | 38.02 kg |
| Nuclear | 41.47 kg |
| Hydroelectric | 82.94 kg |
| Geothermal | 131.33 kg |
| Solar | 155.52 kg |
| Biofuels | 794.88 kg |
| Gas | 1,693.44 kg |
| Coal | 2,833.92 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 5090 running 24/7 for a year releases about 1,642 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 5090's annual footprint swings from roughly 2,834 kg on coal-heavy grids down to about 83 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 | $8.21 | $246.17 |
|
成本
$0.1/kWh
|
$0.96 | $28.80 |
| 利润 | $7.25 | $217.37 |
| 平台 | GPU | 收入 | 成本 | 利润 |
|---|---|---|---|---|
|
Vast.ai
GPU 市场
|
RTX 5090
$0.402/h ·
1 个报价
|
$8.21
|
$0.96 |
$7.25
★
访问 →
|
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
CFX
⚠
Conflux
|
Octopus
175Mh · 400.0W
|
$1.97 | $0.96 | $1.01 |
NEXA
⚠
Nexa
|
NexaPoW
360Mh · 400.0W
|
$0.60 | $0.96 | $-0.36 |
|
RVN
Ravencoin
|
KAWPOW
85Mh · 360.0W
|
$0.36 | $0.86 | $-0.50 |
ERG
⚠
Ergo
|
Autolykos2
580Mh · 310.0W
|
$0.24 | $0.74 | $-0.50 |
|
—
|
Ethash
160Mh · 290.0W
|
— | $0.70 | — |
|
ETC
Ethereum Classic
|
Etchash
160Mh · 290.0W
|
$0.08 | $0.70 | $-0.62 |
|
—
|
Blake3
7.5Gh · 400.0W
|
— | $0.96 | — |
|
IRON
⚠
Iron Fish
|
FishHash
160.0Mh · 290.0W
|
— | $0.70 | — |
|
—
|
Cuckaroo29
48.0Gh · 300.0W
|
— | $0.72 | — |
|
LTZ
⚠
Litecoinz
|
Zhash
190Hh · 280.0W
|
— | $0.67 | — |
|
—
|
XelisHashV2
130Kh · 350.0W
|
— | $0.84 | — |
|
EPIC
⚠
Epic Cash
|
ProgPow
85Mh · 360.0W
|
— | $0.86 | — |
- Architecture
- Blackwell
- Mining algos
- 13
- Model
- GeForce RTX 5090
- Power
- 400 W
- Process
- 4 nm
- Release
- 2025
- Release year
- 2025
- TDP
- 400 W
- Type
- GPU
- Vendor
- Nvidia
Nvidia GeForce RTX 5090 在 AI GPU 出租市场上的收益路径
| 平台 | GPU | 收入 | 成本 | 利润 |
|---|---|---|---|---|
|
Vast.ai
GPU 市场
|
RTX 5090
$0.402/h ·
1 个报价
|
$8.21
|
$0.96 |
$7.25
★
访问 →
|
Nvidia GeForce RTX 5090 出租给 AI 任务每日可赚 $7.25,明显超过挖 Octopus 的 $1.01/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
|
NexaPoW
0.00000002184 BTC/M/d
|
$-0.36
$0.60 收入 · $0.96 成本
访问 →
|
|||
|
MRR floor
0% rented · matches cheapest seller
|
NexaPoW
0.00000006693 BTC/M/d
|
$0.86
★
$1.82 收入 · $0.96 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
NexaPoW
0.00000032850 BTC/M/d
|
$7.99
★
$8.95 收入 · $0.96 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
NexaPoW
0.00000011682 BTC/M/d
|
$2.22
$3.18 收入 · $0.96 成本
|
|||
| Octopus | |||||
|
NiceHash
seller 24h-weighted avg
|
Octopus
0.00000003059 BTC/M/d
|
$-0.55
$0.41 收入 · $0.96 成本
访问 →
|
|||
|
MRR floor
0% rented · matches cheapest seller
|
Octopus
0.00000011000 BTC/M/d
|
$0.50
★
$1.46 收入 · $0.96 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
Octopus
0.00000064110 BTC/M/d
|
$7.54
★
$8.50 收入 · $0.96 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Octopus
0.00000014949 BTC/M/d
|
$1.02
$1.98 收入 · $0.96 成本
|
|||
| FishHash | |||||
|
NiceHash
seller 24h-weighted avg
|
FishHash
0.00000003164 BTC/M/d
|
$-0.58
$0.38 收入 · $0.96 成本
访问 →
|
|||
|
MRR floor
0% rented · matches cheapest seller
|
FishHash
0.00000012000 BTC/M/d
|
$0.49
★
$1.45 收入 · $0.96 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
FishHash
0.00000015078 BTC/M/d
|
$0.87
★
$1.83 收入 · $0.96 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
FishHash
0.00000024326 BTC/M/d
|
$1.99
$2.95 收入 · $0.96 成本
|
|||
| KAWPOW | |||||
|
NiceHash
seller 24h-weighted avg
|
KAWPOW
0.00000005563 BTC/M/d
|
$-0.60
$0.36 收入 · $0.96 成本
访问 →
|
|||
|
MRR floor
6% rented · matches cheapest seller
|
KAWPOW
0.00000010622 BTC/M/d
|
$-0.28
★
$0.68 收入 · $0.96 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
KAWPOW
0.00000018826 BTC/M/d
|
$0.25
★
$1.21 收入 · $0.96 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
KAWPOW
0.00000012485 BTC/M/d
|
$-0.16
$0.80 收入 · $0.96 成本
|
|||
| Zhash | |||||
|
NiceHash
seller 24h-weighted avg
|
Zhash
0.00000000684 BTC/H/d
|
$-0.86
$0.10 收入 · $0.96 成本
访问 →
|
|||
|
MRR floor
0% rented · matches cheapest seller
|
Zhash
0.00000007080 BTC/H/d
|
$0.06
★
$1.02 收入 · $0.96 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
Zhash
0.00000008185 BTC/H/d
|
$0.22
★
$1.18 收入 · $0.96 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Zhash
0.00000007080 BTC/H/d
|
$0.06
$1.02 收入 · $0.96 成本
|
|||
| Ethash | |||||
|
NiceHash
seller 24h-weighted avg
|
Ethash
0.00000002000 BTC/M/d
|
$-0.72
★
$0.24 收入 · $0.96 成本
访问 →
|
|||
| Autolykos2 | |||||
|
NiceHash
seller 24h-weighted avg
|
Autolykos2
0.00000000545 BTC/M/d
|
$-0.72
★
$0.24 收入 · $0.96 成本
访问 →
|
|||
| Etchash | |||||
|
NiceHash
seller 24h-weighted avg
|
Etchash
0.00000000503 BTC/M/d
|
$-0.90
$0.06 收入 · $0.96 成本
访问 →
|
|||
|
MRR floor
1% rented · matches cheapest seller
|
Etchash
0.00000001223 BTC/M/d
|
$-0.81
★
$0.15 收入 · $0.96 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
Etchash
0.00000001578 BTC/M/d
|
$-0.77
★
$0.19 收入 · $0.96 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Etchash
0.00000001214 BTC/M/d
|
$-0.81
$0.15 收入 · $0.96 成本
|
|||
| Blake3 | |||||
|
NiceHash
seller 24h-weighted avg
|
Blake3
0.00000000178 BTC/G/d
|
$-0.96
★
$0.00 收入 · $0.96 成本
访问 →
|
|||
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Nvidia GeForce RTX 5090 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 | 38.02 kg |
| Nuclear | 41.47 kg |
| Hydroelectric | 82.94 kg |
| Geothermal | 131.33 kg |
| Solar | 155.52 kg |
| Biofuels | 794.88 kg |
| Gas | 1,693.44 kg |
| Coal | 2,833.92 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 5090 running 24/7 for a year releases about 1,642 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 5090's annual footprint swings from roughly 2,834 kg on coal-heavy grids down to about 83 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.