Nvidia GeForce RTX 3090 — 挖矿
Nvidia GeForce RTX 3090 earns $2.71 per day renting on the AI GPU marketplace at a median rate of $0.14/h, drawing 326W. At $0.1/kWh electricity, the daily power cost is $0.77.
Nvidia GeForce RTX 3090 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。
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 | $3.48 | $104.26 |
|
成本
$0.1/kWh
|
$0.77 | $23.10 |
| 利润 | $2.71 | $81.16 |
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 | $1.35 | $40.50 |
|
成本
$0.1/kWh
|
$0.77 | $23.10 |
| 利润 | $0.58 | $17.40 |
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
CFX
⚠
Conflux
|
Octopus
93.535405Mh · 320.0W
|
$1.35 | $0.77 | $0.58 |
|
RVN
Ravencoin
|
KAWPOW
50.031852Mh · 326.0W
|
$0.30 | $0.78 | $-0.48 |
|
BEAM
⚠
Beam
|
BeamHashIII
53Hh · 272.0W
|
$0.22 | $0.65 | $-0.43 |
|
AE
⚠
Aeternity
|
CuckooCycle
14Hh · 320.0W
|
$0.16 | $0.77 | $-0.61 |
ERG
⚠
Ergo
|
Autolykos2
272.9Mh · 269.0W
|
$0.16 | $0.65 | $-0.49 |
|
ETC
Ethereum Classic
|
Etchash
121.162Mh · 290.0W
|
$0.10 | $0.70 | $-0.60 |
NEXA
⚠
Nexa
|
NexaPoW
122.6979Mh · 282.0W
|
$0.07 | $0.68 | $-0.61 |
|
XMR
Monero
|
RandomX
580Hh · 290.0W
|
$0.02 | $0.70 | $-0.68 |
|
MONA
⚠
Monacoin
|
Lyra2REv2
131.24314Mh · 345.0W
|
$0.01 | $0.83 | $-0.82 |
|
ZEC
Zcash
|
Equihash
149.5Hh · 285.0W
|
$0.01 | $0.68 | $-0.67 |
KAS
Kaspa
|
KHeavyHash
8.6787Gh · 232.0W
|
$0.01 | $0.56 | $-0.55 |
IRON
⚠
Iron Fish
|
IronFish
20.6083Gh · 156.0W
|
$0.01 | $0.37 | $-0.36 |
|
BTC
Bitcoin
|
Sha256
1Gh · 150.0W
|
— | $0.36 | — |
|
—
|
Astralhash
41.606518Mh · 280.0W
|
— | $0.67 | — |
|
—
|
X22i
524.058Kh · 118.0W
|
— | $0.28 | — |
|
—
|
NIST5
84.36994Mh · 367.0W
|
— | $0.88 | — |
|
—
|
XelisHashV2
12.4Mh · 290.0W
|
— | $0.70 | — |
|
LTZ
⚠
Litecoinz
|
Zhash
135Hh · 314.0W
|
— | $0.75 | — |
|
—
|
Equihash+Scrypt
72.52Kh · 393.0W
|
— | $0.94 | — |
|
—
|
Keccak
2.12218Gh · 329.0W
|
— | $0.79 | — |
|
—
|
X21S
21.52709Mh · 325.0W
|
— | $0.78 | — |
|
—
|
Lyra2vc0ban
139.75192Mh · 272.0W
|
— | $0.65 | — |
|
—
|
Darkcoin
5.012Gh · 328.0W
|
— | $0.79 | — |
|
—
|
EvrProgPow
119.0Mh · 320.0W
|
— | $0.77 | — |
|
—
|
MeowPow
50Mh · 320.0W
|
— | $0.77 | — |
|
—
|
Cuckaroo29S
9Hh · 264.0W
|
— | $0.63 | — |
|
VTC
⚠
Vertcoin
|
Verthash
4.9Gh · 330.0W
|
— | $0.79 | — |
|
—
|
Abelhash
63Mh · 330.0W
|
— | $0.79 | — |
|
—
|
Cuckaroom29
8Hh · 323.0W
|
— | $0.78 | — |
|
—
|
SHA-256csm
265.748155Mh · 139.0W
|
— | $0.33 | — |
|
—
|
Argon2d250
13.732558Mh · 334.0W
|
— | $0.80 | — |
|
—
|
X17
30.987352Mh · 344.0W
|
— | $0.83 | — |
|
—
|
Dedal
28.830026Mh · 262.0W
|
— | $0.63 | — |
|
—
|
X16RT
31.202331Mh · 333.0W
|
— | $0.80 | — |
|
—
|
X16S
30.453554Mh · 345.0W
|
— | $0.83 | — |
|
—
|
Chukwa2
75.034Kh · 324.0W
|
— | $0.78 | — |
|
—
|
HMQ1725
14.44621Mh · 333.0W
|
— | $0.80 | — |
|
—
|
Cuckatoo31
2Hh · 225.0W
|
— | $0.54 | — |
|
—
|
Cuckaroo29
10.9Hh · 290.0W
|
— | $0.70 | — |
|
—
|
PyrinHash
5.6Gh · 210.0W
|
— | $0.50 | — |
|
—
|
Memehash
6.4Mh · 310.0W
|
— | $0.74 | — |
|
—
|
BeamHashII
37Hh · 246.0W
|
— | $0.59 | — |
|
—
|
Equihash(210,9)
494Hh · 348.0W
|
— | $0.84 | — |
|
—
|
ProgPowZ
47.697766Mh · 320.0W
|
— | $0.77 | — |
|
—
|
GhostRider
81.0Mh · 320.0W
|
— | $0.77 | — |
|
—
|
Meraki
60Mh · 320.0W
|
— | $0.77 | — |
|
—
|
X18
262.006Kh · 126.0W
|
— | $0.30 | — |
|
—
|
Chukwa
209.235Kh · 323.0W
|
— | $0.78 | — |
|
—
|
Jeonghash
22.580557Mh · 289.0W
|
— | $0.69 | — |
|
—
|
PHI1612
67.78964Mh · 213.0W
|
— | $0.51 | — |
|
—
|
Skydoge
1.2Gh · 150.0W
|
— | $0.36 | — |
|
—
|
Blake3
2.2292Gh · 246.0W
|
— | $0.59 | — |
|
—
|
X11k
5.605533Mh · 315.0W
|
— | $0.76 | — |
|
—
|
X25X
12.631973Mh · 280.0W
|
— | $0.67 | — |
|
—
|
C11
42.779176Mh · 346.0W
|
— | $0.83 | — |
|
—
|
Argon2d4096
97.906Kh · 368.0W
|
— | $0.88 | — |
|
—
|
Radiant
1.0349Gh · 172.0W
|
— | $0.41 | — |
|
—
|
EquihashBTCZ
133Hh · 333.0W
|
— | $0.80 | — |
|
—
|
DynexSolve
6Kh · 220.0W
|
— | $0.53 | — |
|
—
|
Ton
3.5Gh · 330.0W
|
— | $0.79 | — |
|
—
|
Equihash(96,5)
452.615Kh · 213.0W
|
— | $0.51 | — |
|
—
|
Equihash192_7
93Hh · 290.0W
|
— | $0.70 | — |
|
—
|
Ubqhash
105.9545Mh · 278.0W
|
— | $0.67 | — |
|
—
|
Equihash(192,7)
72Hh · 335.0W
|
— | $0.80 | — |
|
—
|
Keccak-C
2.08778388Gh · 275.0W
|
— | $0.66 | — |
|
—
|
HoneyComb
524.102Kh · 141.0W
|
— | $0.34 | — |
|
—
|
Globalhash
87.385922Mh · 269.0W
|
— | $0.65 | — |
|
—
|
TimeTravel10
71.32399Mh · 341.0W
|
— | $0.82 | — |
|
—
|
ProgPowSERO
49.783915Mh · 335.0W
|
— | $0.80 | — |
|
—
|
Cuckarood29
3Hh · 301.0W
|
— | $0.72 | — |
|
—
|
Equihash210_9
510Hh · 290.0W
|
— | $0.70 | — |
|
—
|
Pawelhash
20.42345Mh · 276.0W
|
— | $0.66 | — |
|
—
|
CryptoNightFast
6.3Hh · 310.0W
|
— | $0.74 | — |
|
—
|
SonoA
4.845343Mh · 341.0W
|
— | $0.82 | — |
|
—
|
CuckooBFC
304Hh · 271.0W
|
— | $0.65 | — |
|
—
|
Hex
26.311326Mh · 306.0W
|
— | $0.73 | — |
|
—
|
Equihash(144,5)
132Hh · 289.0W
|
— | $0.69 | — |
|
—
|
Skunkhash
88.640006Mh · 331.0W
|
— | $0.79 | — |
|
—
|
Padihash
262.012Kh · 106.0W
|
— | $0.25 | — |
|
—
|
Blake (2s)
10.791020695Gh · 276.0W
|
— | $0.66 | — |
|
—
|
X15
20.01821Mh · 335.0W
|
— | $0.80 | — |
|
—
|
HeavyHash
486.640699Mh · 304.0W
|
— | $0.73 | — |
|
—
|
EquihashBTG
132Hh · 314.0W
|
— | $0.75 | — |
|
—
|
CryptoNightHeavy
2.65Kh · 260.0W
|
— | $0.62 | — |
|
—
|
CryptoNightGPU
4.6Kh · 260.0W
|
— | $0.62 | — |
|
—
|
Skein2
1.016312393Gh · 347.0W
|
— | $0.83 | — |
|
—
|
CNReverseWaltz
3.548Kh · 272.0W
|
— | $0.65 | — |
|
FTC
⚠
Feathercoin
|
NeoScrypt
2.37819Mh · 275.0W
|
— | $0.66 | — |
|
—
|
X16R
32.57163Mh · 288.0W
|
— | $0.69 | — |
ACM
⚠
Actinium
|
Lyra2z
10.40601Mh · 267.0W
|
— | $0.64 | — |
|
—
|
Qhash
78Mh · 200.0W
|
— | $0.48 | — |
|
—
|
Equihash(150,5)
56Hh · 418.0W
|
— | $1.00 | — |
|
—
|
X33
28.373818Mh · 280.0W
|
— | $0.67 | — |
|
—
|
EquihashSAFE
137Hh · 314.0W
|
— | $0.75 | — |
|
—
|
Cortex
0Hh · 278.0W
|
— | $0.67 | — |
|
—
|
Cuckaroo29b
8Hh · 325.0W
|
— | $0.78 | — |
|
—
|
MTP
5.563Mh · 307.0W
|
— | $0.74 | — |
FIRO
Firo
|
FiroPoW
41.217Mh · 303.0W
|
— | $0.73 | — |
|
—
|
X17R
28.995307Mh · 272.0W
|
— | $0.65 | — |
|
—
|
KarlsenHashV2
1.3Gh · 150.0W
|
— | $0.36 | — |
|
—
|
Hoohash
320Mh · 140.0W
|
— | $0.34 | — |
|
—
|
X16Rv2
174.757Kh · 123.0W
|
— | $0.30 | — |
|
—
|
BCD
34.161194Mh · 331.0W
|
— | $0.79 | — |
|
—
|
Xevan
10.300631Mh · 331.0W
|
— | $0.79 | — |
|
—
|
vProgPow
21.206864Mh · 280.0W
|
— | $0.67 | — |
|
—
|
Argon2d
510.0Hh · 290.0W
|
— | $0.70 | — |
|
—
|
Ethash
121.162Mh · 290.0W
|
— | $0.70 | — |
|
—
|
Tribus
191.937505Mh · 212.0W
|
— | $0.51 | — |
|
EPIC
⚠
Epic Cash
|
ProgPow
100.0Mh · 300.0W
|
— | $0.72 | — |
|
—
|
zkSNARK
910.0Mh · 150.0W
|
— | $0.36 | — |
|
—
|
Equihash(125,4)
111Hh · 305.0W
|
— | $0.73 | — |
|
—
|
Argon2d-NIM
950Kh · 260.0W
|
— | $0.62 | — |
|
GRIN
⚠
Grin
|
Cuckatoo32
0Hh · 323.0W
|
— | $0.78 | — |
|
—
|
X16RTVEIL
29.487172Mh · 272.0W
|
— | $0.65 | — |
| 矿池 | 支持算法 | 费率 | |
|---|---|---|---|
|
|
CuckooCycle (AE) · BeamHashIII (BEAM) · Autolykos2 (ERG) | 1.0% | Visit → |
HeroMiners
|
BeamHashIII (BEAM) · Autolykos2 (ERG) · Etchash (ETC) | 0.9% | Visit → |
|
★
K1Pool
|
Sha256 (BTC) · Autolykos2 (ERG) · Etchash (ETC) | 1.0% | Visit → |
Rplant
|
FiroPoW (FIRO) · NexaPoW (NEXA) · RandomX (XMR) | 1.0% | Visit → |
SupportXMR
|
RandomX (XMR) | 0.6% | Visit → |
| 平台 | GPU | 收入 | 成本 | 利润 |
|---|---|---|---|---|
Io Net
GPU 市场
|
RTX 3090
$0.270/h ·
40 个报价
|
$5.18
|
$0.77 |
$4.41
★
访问 →
|
RunPod
GPU 市场
|
RTX 3090
$0.220/h ·
1 个报价
|
$4.91
|
$0.77 |
$4.14
访问 →
|
Tensordock
GPU 市场
|
RTX 3090
$0.200/h ·
12 个报价
|
$3.84
|
$0.77 |
$3.07
访问 →
|
|
Clore Ai
GPU 市场
|
RTX 3090
$0.092/h ·
107 个报价
|
$1.89
919 CLORE/day
1 CLORE ≈ $0.00205
|
$0.77 |
$1.12
访问 →
|
|
Vast.ai
GPU 市场
|
RTX 3090
$0.080/h ·
1 个报价
|
$1.63
|
$0.77 |
$0.86
访问 →
|
Akash
GPU 市场
|
RTX 3090
$0.000/h ·
21 个报价
|
$0.00
|
$0.77 |
$-0.77
访问 →
|
收入流 Nvidia GeForce RTX 3090 在 AI GPU 出租市场上的收益路径 how we got $4.41/day · ▾
Nvidia GeForce RTX 3090 出租给 AI 任务每日可赚 $4.41,明显超过挖 Octopus 的 $0.58/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 | $5.18 | $155.40 |
|
成本
$0.1/kWh
|
$0.77 | $23.10 |
| 利润 | $4.41 | $132.30 |
净算力市场收入历史
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $0.53 | $15.77 |
|
成本
$0.1/kWh
|
$0.77 | $23.10 |
| 利润 | $-0.24 | $-7.33 |
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Nvidia GeForce RTX 3090 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 | 30.41 kg |
| Nuclear | 33.18 kg |
| Hydroelectric | 66.36 kg |
| Geothermal | 105.06 kg |
| Solar | 124.42 kg |
| Biofuels | 635.9 kg |
| Gas | 1,354.75 kg |
| Coal | 2,267.14 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 3090 running 24/7 for a year releases about 1,313 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 3090's annual footprint swings from roughly 2,267 kg on coal-heavy grids down to about 66 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 | $3.48 | $104.26 |
|
成本
$0.1/kWh
|
$0.77 | $23.10 |
| 利润 | $2.71 | $81.16 |
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 | $1.35 | $40.50 |
|
成本
$0.1/kWh
|
$0.77 | $23.10 |
| 利润 | $0.58 | $17.40 |
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
CFX
⚠
Conflux
|
Octopus
93.535405Mh · 320.0W
|
$1.35 | $0.77 | $0.58 |
|
RVN
Ravencoin
|
KAWPOW
50.031852Mh · 326.0W
|
$0.30 | $0.78 | $-0.48 |
|
BEAM
⚠
Beam
|
BeamHashIII
53Hh · 272.0W
|
$0.22 | $0.65 | $-0.43 |
|
AE
⚠
Aeternity
|
CuckooCycle
14Hh · 320.0W
|
$0.16 | $0.77 | $-0.61 |
ERG
⚠
Ergo
|
Autolykos2
272.9Mh · 269.0W
|
$0.16 | $0.65 | $-0.49 |
|
ETC
Ethereum Classic
|
Etchash
121.162Mh · 290.0W
|
$0.10 | $0.70 | $-0.60 |
NEXA
⚠
Nexa
|
NexaPoW
122.6979Mh · 282.0W
|
$0.07 | $0.68 | $-0.61 |
|
XMR
Monero
|
RandomX
580Hh · 290.0W
|
$0.02 | $0.70 | $-0.68 |
|
MONA
⚠
Monacoin
|
Lyra2REv2
131.24314Mh · 345.0W
|
$0.01 | $0.83 | $-0.82 |
|
ZEC
Zcash
|
Equihash
149.5Hh · 285.0W
|
$0.01 | $0.68 | $-0.67 |
KAS
Kaspa
|
KHeavyHash
8.6787Gh · 232.0W
|
$0.01 | $0.56 | $-0.55 |
IRON
⚠
Iron Fish
|
IronFish
20.6083Gh · 156.0W
|
$0.01 | $0.37 | $-0.36 |
|
BTC
Bitcoin
|
Sha256
1Gh · 150.0W
|
— | $0.36 | — |
|
—
|
Astralhash
41.606518Mh · 280.0W
|
— | $0.67 | — |
|
—
|
X22i
524.058Kh · 118.0W
|
— | $0.28 | — |
|
—
|
NIST5
84.36994Mh · 367.0W
|
— | $0.88 | — |
|
—
|
XelisHashV2
12.4Mh · 290.0W
|
— | $0.70 | — |
|
LTZ
⚠
Litecoinz
|
Zhash
135Hh · 314.0W
|
— | $0.75 | — |
|
—
|
Equihash+Scrypt
72.52Kh · 393.0W
|
— | $0.94 | — |
|
—
|
Keccak
2.12218Gh · 329.0W
|
— | $0.79 | — |
|
—
|
X21S
21.52709Mh · 325.0W
|
— | $0.78 | — |
|
—
|
Lyra2vc0ban
139.75192Mh · 272.0W
|
— | $0.65 | — |
|
—
|
Darkcoin
5.012Gh · 328.0W
|
— | $0.79 | — |
|
—
|
EvrProgPow
119.0Mh · 320.0W
|
— | $0.77 | — |
|
—
|
MeowPow
50Mh · 320.0W
|
— | $0.77 | — |
|
—
|
Cuckaroo29S
9Hh · 264.0W
|
— | $0.63 | — |
|
VTC
⚠
Vertcoin
|
Verthash
4.9Gh · 330.0W
|
— | $0.79 | — |
|
—
|
Abelhash
63Mh · 330.0W
|
— | $0.79 | — |
|
—
|
Cuckaroom29
8Hh · 323.0W
|
— | $0.78 | — |
|
—
|
SHA-256csm
265.748155Mh · 139.0W
|
— | $0.33 | — |
|
—
|
Argon2d250
13.732558Mh · 334.0W
|
— | $0.80 | — |
|
—
|
X17
30.987352Mh · 344.0W
|
— | $0.83 | — |
|
—
|
Dedal
28.830026Mh · 262.0W
|
— | $0.63 | — |
|
—
|
X16RT
31.202331Mh · 333.0W
|
— | $0.80 | — |
|
—
|
X16S
30.453554Mh · 345.0W
|
— | $0.83 | — |
|
—
|
Chukwa2
75.034Kh · 324.0W
|
— | $0.78 | — |
|
—
|
HMQ1725
14.44621Mh · 333.0W
|
— | $0.80 | — |
|
—
|
Cuckatoo31
2Hh · 225.0W
|
— | $0.54 | — |
|
—
|
Cuckaroo29
10.9Hh · 290.0W
|
— | $0.70 | — |
|
—
|
PyrinHash
5.6Gh · 210.0W
|
— | $0.50 | — |
|
—
|
Memehash
6.4Mh · 310.0W
|
— | $0.74 | — |
|
—
|
BeamHashII
37Hh · 246.0W
|
— | $0.59 | — |
|
—
|
Equihash(210,9)
494Hh · 348.0W
|
— | $0.84 | — |
|
—
|
ProgPowZ
47.697766Mh · 320.0W
|
— | $0.77 | — |
|
—
|
GhostRider
81.0Mh · 320.0W
|
— | $0.77 | — |
|
—
|
Meraki
60Mh · 320.0W
|
— | $0.77 | — |
|
—
|
X18
262.006Kh · 126.0W
|
— | $0.30 | — |
|
—
|
Chukwa
209.235Kh · 323.0W
|
— | $0.78 | — |
|
—
|
Jeonghash
22.580557Mh · 289.0W
|
— | $0.69 | — |
|
—
|
PHI1612
67.78964Mh · 213.0W
|
— | $0.51 | — |
|
—
|
Skydoge
1.2Gh · 150.0W
|
— | $0.36 | — |
|
—
|
Blake3
2.2292Gh · 246.0W
|
— | $0.59 | — |
|
—
|
X11k
5.605533Mh · 315.0W
|
— | $0.76 | — |
|
—
|
X25X
12.631973Mh · 280.0W
|
— | $0.67 | — |
|
—
|
C11
42.779176Mh · 346.0W
|
— | $0.83 | — |
|
—
|
Argon2d4096
97.906Kh · 368.0W
|
— | $0.88 | — |
|
—
|
Radiant
1.0349Gh · 172.0W
|
— | $0.41 | — |
|
—
|
EquihashBTCZ
133Hh · 333.0W
|
— | $0.80 | — |
|
—
|
DynexSolve
6Kh · 220.0W
|
— | $0.53 | — |
|
—
|
Ton
3.5Gh · 330.0W
|
— | $0.79 | — |
|
—
|
Equihash(96,5)
452.615Kh · 213.0W
|
— | $0.51 | — |
|
—
|
Equihash192_7
93Hh · 290.0W
|
— | $0.70 | — |
|
—
|
Ubqhash
105.9545Mh · 278.0W
|
— | $0.67 | — |
|
—
|
Equihash(192,7)
72Hh · 335.0W
|
— | $0.80 | — |
|
—
|
Keccak-C
2.08778388Gh · 275.0W
|
— | $0.66 | — |
|
—
|
HoneyComb
524.102Kh · 141.0W
|
— | $0.34 | — |
|
—
|
Globalhash
87.385922Mh · 269.0W
|
— | $0.65 | — |
|
—
|
TimeTravel10
71.32399Mh · 341.0W
|
— | $0.82 | — |
|
—
|
ProgPowSERO
49.783915Mh · 335.0W
|
— | $0.80 | — |
|
—
|
Cuckarood29
3Hh · 301.0W
|
— | $0.72 | — |
|
—
|
Equihash210_9
510Hh · 290.0W
|
— | $0.70 | — |
|
—
|
Pawelhash
20.42345Mh · 276.0W
|
— | $0.66 | — |
|
—
|
CryptoNightFast
6.3Hh · 310.0W
|
— | $0.74 | — |
|
—
|
SonoA
4.845343Mh · 341.0W
|
— | $0.82 | — |
|
—
|
CuckooBFC
304Hh · 271.0W
|
— | $0.65 | — |
|
—
|
Hex
26.311326Mh · 306.0W
|
— | $0.73 | — |
|
—
|
Equihash(144,5)
132Hh · 289.0W
|
— | $0.69 | — |
|
—
|
Skunkhash
88.640006Mh · 331.0W
|
— | $0.79 | — |
|
—
|
Padihash
262.012Kh · 106.0W
|
— | $0.25 | — |
|
—
|
Blake (2s)
10.791020695Gh · 276.0W
|
— | $0.66 | — |
|
—
|
X15
20.01821Mh · 335.0W
|
— | $0.80 | — |
|
—
|
HeavyHash
486.640699Mh · 304.0W
|
— | $0.73 | — |
|
—
|
EquihashBTG
132Hh · 314.0W
|
— | $0.75 | — |
|
—
|
CryptoNightHeavy
2.65Kh · 260.0W
|
— | $0.62 | — |
|
—
|
CryptoNightGPU
4.6Kh · 260.0W
|
— | $0.62 | — |
|
—
|
Skein2
1.016312393Gh · 347.0W
|
— | $0.83 | — |
|
—
|
CNReverseWaltz
3.548Kh · 272.0W
|
— | $0.65 | — |
|
FTC
⚠
Feathercoin
|
NeoScrypt
2.37819Mh · 275.0W
|
— | $0.66 | — |
|
—
|
X16R
32.57163Mh · 288.0W
|
— | $0.69 | — |
ACM
⚠
Actinium
|
Lyra2z
10.40601Mh · 267.0W
|
— | $0.64 | — |
|
—
|
Qhash
78Mh · 200.0W
|
— | $0.48 | — |
|
—
|
Equihash(150,5)
56Hh · 418.0W
|
— | $1.00 | — |
|
—
|
X33
28.373818Mh · 280.0W
|
— | $0.67 | — |
|
—
|
EquihashSAFE
137Hh · 314.0W
|
— | $0.75 | — |
|
—
|
Cortex
0Hh · 278.0W
|
— | $0.67 | — |
|
—
|
Cuckaroo29b
8Hh · 325.0W
|
— | $0.78 | — |
|
—
|
MTP
5.563Mh · 307.0W
|
— | $0.74 | — |
FIRO
Firo
|
FiroPoW
41.217Mh · 303.0W
|
— | $0.73 | — |
|
—
|
X17R
28.995307Mh · 272.0W
|
— | $0.65 | — |
|
—
|
KarlsenHashV2
1.3Gh · 150.0W
|
— | $0.36 | — |
|
—
|
Hoohash
320Mh · 140.0W
|
— | $0.34 | — |
|
—
|
X16Rv2
174.757Kh · 123.0W
|
— | $0.30 | — |
|
—
|
BCD
34.161194Mh · 331.0W
|
— | $0.79 | — |
|
—
|
Xevan
10.300631Mh · 331.0W
|
— | $0.79 | — |
|
—
|
vProgPow
21.206864Mh · 280.0W
|
— | $0.67 | — |
|
—
|
Argon2d
510.0Hh · 290.0W
|
— | $0.70 | — |
|
—
|
Ethash
121.162Mh · 290.0W
|
— | $0.70 | — |
|
—
|
Tribus
191.937505Mh · 212.0W
|
— | $0.51 | — |
|
EPIC
⚠
Epic Cash
|
ProgPow
100.0Mh · 300.0W
|
— | $0.72 | — |
|
—
|
zkSNARK
910.0Mh · 150.0W
|
— | $0.36 | — |
|
—
|
Equihash(125,4)
111Hh · 305.0W
|
— | $0.73 | — |
|
—
|
Argon2d-NIM
950Kh · 260.0W
|
— | $0.62 | — |
|
GRIN
⚠
Grin
|
Cuckatoo32
0Hh · 323.0W
|
— | $0.78 | — |
|
—
|
X16RTVEIL
29.487172Mh · 272.0W
|
— | $0.65 | — |
| 矿池 | 支持算法 | 费率 | |
|---|---|---|---|
|
|
CuckooCycle (AE) · BeamHashIII (BEAM) · Autolykos2 (ERG) | 1.0% | Visit → |
HeroMiners
|
BeamHashIII (BEAM) · Autolykos2 (ERG) · Etchash (ETC) | 0.9% | Visit → |
|
★
K1Pool
|
Sha256 (BTC) · Autolykos2 (ERG) · Etchash (ETC) | 1.0% | Visit → |
Rplant
|
FiroPoW (FIRO) · NexaPoW (NEXA) · RandomX (XMR) | 1.0% | Visit → |
SupportXMR
|
RandomX (XMR) | 0.6% | Visit → |
| 平台 | GPU | 收入 | 成本 | 利润 |
|---|---|---|---|---|
Io Net
GPU 市场
|
RTX 3090
$0.270/h ·
40 个报价
|
$5.18
|
$0.77 |
$4.41
★
访问 →
|
RunPod
GPU 市场
|
RTX 3090
$0.220/h ·
1 个报价
|
$4.91
|
$0.77 |
$4.14
访问 →
|
Tensordock
GPU 市场
|
RTX 3090
$0.200/h ·
12 个报价
|
$3.84
|
$0.77 |
$3.07
访问 →
|
|
Clore Ai
GPU 市场
|
RTX 3090
$0.092/h ·
107 个报价
|
$1.89
919 CLORE/day
1 CLORE ≈ $0.00205
|
$0.77 |
$1.12
访问 →
|
|
Vast.ai
GPU 市场
|
RTX 3090
$0.080/h ·
1 个报价
|
$1.63
|
$0.77 |
$0.86
访问 →
|
Akash
GPU 市场
|
RTX 3090
$0.000/h ·
21 个报价
|
$0.00
|
$0.77 |
$-0.77
访问 →
|
收入流 Nvidia GeForce RTX 3090 在 AI GPU 出租市场上的收益路径 how we got $4.41/day · ▾
Nvidia GeForce RTX 3090 出租给 AI 任务每日可赚 $4.41,明显超过挖 Octopus 的 $0.58/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 | $5.18 | $155.40 |
|
成本
$0.1/kWh
|
$0.77 | $23.10 |
| 利润 | $4.41 | $132.30 |
净算力市场收入历史
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $0.53 | $15.77 |
|
成本
$0.1/kWh
|
$0.77 | $23.10 |
| 利润 | $-0.24 | $-7.33 |
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Nvidia GeForce RTX 3090 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 | 30.41 kg |
| Nuclear | 33.18 kg |
| Hydroelectric | 66.36 kg |
| Geothermal | 105.06 kg |
| Solar | 124.42 kg |
| Biofuels | 635.9 kg |
| Gas | 1,354.75 kg |
| Coal | 2,267.14 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 3090 running 24/7 for a year releases about 1,313 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 3090's annual footprint swings from roughly 2,267 kg on coal-heavy grids down to about 66 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.