Nvidia GeForce RTX 5090 — 挖矿
Nvidia GeForce RTX 5090 每天净赚 最高 $15.58,最佳为 AI 出租 $0.68/小时,共 8 个挂单。 也可用于:出售 NexaPoW 算力($0.11/天) and 挖 Autolykos2 算力 580 Mh/s($0.40/天)。 功耗 310 W — 按 $0.10/kWh 计算,按当前行情有利润。
Nvidia GeForce RTX 5090 挖 Autolykos2 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 | $6.17 | $185.07 |
|
成本
$0.1/kWh
|
$0.74 | $22.20 |
| 利润 | $5.43 | $162.87 |
算法收益历史 ▶ Autolykos2
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 | $0.34 | $10.20 |
|
成本
$0.1/kWh
|
$0.74 | $22.20 |
| 利润 | $-0.40 | $-12.00 |
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
ERG
⚠
Ergo
|
Autolykos2
580Mh · 310.0W
|
$0.34 | $0.74 | $-0.40 |
NEXA
⚠
Nexa
|
NexaPoW
360Mh · 400.0W
|
$0.21 | $0.96 | $-0.75 |
|
ETC
Ethereum Classic
|
Etchash
160Mh · 290.0W
|
$0.13 | $0.70 | $-0.57 |
IRON
⚠
Iron Fish
|
FishHash
160.0Mh · 290.0W
|
— | $0.70 | — |
|
LTZ
⚠
Litecoinz
|
Zhash
190Hh · 280.0W
|
— | $0.67 | — |
|
—
|
Cuckaroo29
48.0Gh · 300.0W
|
— | $0.72 | — |
|
—
|
Ethash
28.5hh · 390.0W
|
— | $0.94 | — |
|
—
|
Abelhash
160Mh · 290.0W
|
— | $0.70 | — |
|
—
|
Blake3
7.5Gh · 400.0W
|
— | $0.96 | — |
|
EPIC
⚠
Epic Cash
|
ProgPow
85Mh · 360.0W
|
— | $0.86 | — |
|
—
|
XelisHashV2
130Kh · 350.0W
|
— | $0.84 | — |
| 平台 | GPU | 收入 | 成本 | 利润 |
|---|---|---|---|---|
Io Net
GPU 市场
|
RTX 5090
$0.850/h ·
8 个报价
|
$16.32
|
$0.74 |
$15.58
★
访问 →
|
RunPod
GPU 市场
|
RTX 5090
$0.690/h ·
1 个报价
|
$15.40
|
$0.74 |
$14.66
访问 →
|
Tensordock
GPU 市场
|
RTX 5090
$0.540/h ·
4 个报价
|
$10.37
|
$0.74 |
$9.63
访问 →
|
|
Vast.ai
GPU 市场
|
RTX 5090
$0.327/h ·
2 个报价
|
$6.68
|
$0.74 |
$5.94
访问 →
|
|
Clore Ai
GPU 市场
|
RTX 5090
$0.204/h ·
144 个报价
|
$4.16
2,256 CLORE/day
1 CLORE ≈ $0.00185
|
$0.74 |
$3.42
访问 →
|
Akash
GPU 市场
|
RTX 5090
$0.000/h ·
22 个报价
|
$0.00
|
$0.74 |
$-0.74
访问 →
|
收入流 Nvidia GeForce RTX 5090 在 AI GPU 出租市场上的收益路径 how we got $15.58/day · ▾
Nvidia GeForce RTX 5090 出租给 AI 任务每日可赚 $15.58,明显超过挖 Autolykos2 的 $-0.40/日。挖矿和出租互斥,此处 AI 市场是更优选择。
净租赁收入历史
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $16.32 | $489.60 |
|
成本
$0.1/kWh
|
$0.74 | $22.20 |
| 利润 | $15.58 | $467.40 |
净算力市场收入历史
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $0.63 | $18.80 |
|
成本
$0.1/kWh
|
$0.74 | $22.20 |
| 利润 | $-0.11 | $-3.40 |
| 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 | 29.46 kg |
| Nuclear | 32.14 kg |
| Hydroelectric | 64.28 kg |
| Geothermal | 101.78 kg |
| Solar | 120.53 kg |
| Biofuels | 616.03 kg |
| Gas | 1,312.42 kg |
| Coal | 2,196.29 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 1,272 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 2,196 kg on coal-heavy grids down to about 64 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 | $6.17 | $185.07 |
|
成本
$0.1/kWh
|
$0.74 | $22.20 |
| 利润 | $5.43 | $162.87 |
算法收益历史 ▶ Autolykos2
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 | $0.34 | $10.20 |
|
成本
$0.1/kWh
|
$0.74 | $22.20 |
| 利润 | $-0.40 | $-12.00 |
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
ERG
⚠
Ergo
|
Autolykos2
580Mh · 310.0W
|
$0.34 | $0.74 | $-0.40 |
NEXA
⚠
Nexa
|
NexaPoW
360Mh · 400.0W
|
$0.21 | $0.96 | $-0.75 |
|
ETC
Ethereum Classic
|
Etchash
160Mh · 290.0W
|
$0.13 | $0.70 | $-0.57 |
IRON
⚠
Iron Fish
|
FishHash
160.0Mh · 290.0W
|
— | $0.70 | — |
|
LTZ
⚠
Litecoinz
|
Zhash
190Hh · 280.0W
|
— | $0.67 | — |
|
—
|
Cuckaroo29
48.0Gh · 300.0W
|
— | $0.72 | — |
|
—
|
Ethash
28.5hh · 390.0W
|
— | $0.94 | — |
|
—
|
Abelhash
160Mh · 290.0W
|
— | $0.70 | — |
|
—
|
Blake3
7.5Gh · 400.0W
|
— | $0.96 | — |
|
EPIC
⚠
Epic Cash
|
ProgPow
85Mh · 360.0W
|
— | $0.86 | — |
|
—
|
XelisHashV2
130Kh · 350.0W
|
— | $0.84 | — |
| 平台 | GPU | 收入 | 成本 | 利润 |
|---|---|---|---|---|
Io Net
GPU 市场
|
RTX 5090
$0.850/h ·
8 个报价
|
$16.32
|
$0.74 |
$15.58
★
访问 →
|
RunPod
GPU 市场
|
RTX 5090
$0.690/h ·
1 个报价
|
$15.40
|
$0.74 |
$14.66
访问 →
|
Tensordock
GPU 市场
|
RTX 5090
$0.540/h ·
4 个报价
|
$10.37
|
$0.74 |
$9.63
访问 →
|
|
Vast.ai
GPU 市场
|
RTX 5090
$0.327/h ·
2 个报价
|
$6.68
|
$0.74 |
$5.94
访问 →
|
|
Clore Ai
GPU 市场
|
RTX 5090
$0.204/h ·
144 个报价
|
$4.16
2,256 CLORE/day
1 CLORE ≈ $0.00185
|
$0.74 |
$3.42
访问 →
|
Akash
GPU 市场
|
RTX 5090
$0.000/h ·
22 个报价
|
$0.00
|
$0.74 |
$-0.74
访问 →
|
收入流 Nvidia GeForce RTX 5090 在 AI GPU 出租市场上的收益路径 how we got $15.58/day · ▾
Nvidia GeForce RTX 5090 出租给 AI 任务每日可赚 $15.58,明显超过挖 Autolykos2 的 $-0.40/日。挖矿和出租互斥,此处 AI 市场是更优选择。
净租赁收入历史
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $16.32 | $489.60 |
|
成本
$0.1/kWh
|
$0.74 | $22.20 |
| 利润 | $15.58 | $467.40 |
净算力市场收入历史
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $0.63 | $18.80 |
|
成本
$0.1/kWh
|
$0.74 | $22.20 |
| 利润 | $-0.11 | $-3.40 |
| 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 | 29.46 kg |
| Nuclear | 32.14 kg |
| Hydroelectric | 64.28 kg |
| Geothermal | 101.78 kg |
| Solar | 120.53 kg |
| Biofuels | 616.03 kg |
| Gas | 1,312.42 kg |
| Coal | 2,196.29 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 1,272 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 2,196 kg on coal-heavy grids down to about 64 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.