Nvidia GeForce GTX 1660 — 挖矿
Nvidia GeForce GTX 1660 每天净赚 最高 $0.41,最佳为 AI 出租 $0.02/小时,共 1 个挂单。 也可用于:挖 Octopus 算力 20.053976 Mh/s($0.13/天) and 出售 KAWPOW 算力($0.06/天)。 功耗 71 W — 按 $0.10/kWh 计算,按当前行情有利润。
Nvidia GeForce GTX 1660 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 | $0.58 | $17.35 |
|
成本
$0.1/kWh
|
$0.17 | $5.10 |
| 利润 | $0.41 | $12.25 |
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 | $0.30 | $9.00 |
|
成本
$0.1/kWh
|
$0.17 | $5.10 |
| 利润 | $0.13 | $3.90 |
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
CFX
⚠
Conflux
|
Octopus
20.053976Mh · 71.0W
|
$0.30 | $0.17 | $0.13 |
|
BEAM
⚠
Beam
|
BeamHashIII
12Hh · 93.0W
|
$0.05 | $0.22 | $-0.17 |
|
RVN
Ravencoin
|
KAWPOW
10.919185Mh · 83.0W
|
$0.05 | $0.20 | $-0.15 |
|
AE
⚠
Aeternity
|
CuckooCycle
3Hh · 58.0W
|
$0.04 | $0.14 | $-0.10 |
ERG
⚠
Ergo
|
Autolykos2
41.48Mh · 73.0W
|
$0.02 | $0.18 | $-0.16 |
|
ETC
Ethereum Classic
|
Etchash
21.328271Mh · 86.0W
|
$0.02 | $0.21 | $-0.19 |
|
XMR
Monero
|
RandomX
488Hh · 50.0W
|
$0.02 | $0.12 | $-0.10 |
|
MONA
⚠
Monacoin
|
Lyra2REv2
38.63007Mh · 94.0W
|
— | $0.23 | — |
|
HNS
⚠
Handshake
|
Handshake
197.4Mh · 102.0W
|
— | $0.24 | — |
|
—
|
Ethash
21.35007Mh · 76.0W
|
— | $0.18 | — |
|
—
|
X16Rv2
18.56555Mh · 97.0W
|
— | $0.23 | — |
|
—
|
CryptoNightHeavyX
280Hh · 55.0W
|
— | $0.13 | — |
|
VTC
⚠
Vertcoin
|
Verthash
26.0Mh · 90.0W
|
— | $0.22 | — |
|
—
|
HoneyComb
34.799003Mh · 79.0W
|
— | $0.19 | — |
|
—
|
PHI2
5.714594Mh · 0.0W
|
— | — | — |
|
—
|
Curvehash
3.0001Mh · 88.0W
|
— | $0.21 | — |
|
—
|
ProgPowZ
9.644342Mh · 78.0W
|
— | $0.19 | — |
|
—
|
CryptoNightSaber
538Hh · 66.0W
|
— | $0.16 | — |
|
—
|
X16S
13.60512Mh · 61.0W
|
— | $0.15 | — |
|
—
|
XelisHashV2
3.1Mh · 90.0W
|
— | $0.22 | — |
|
—
|
SHA-256csm
1.004580989Gh · 78.0W
|
— | $0.19 | — |
|
—
|
ProgPowSERO
10.27Mh · 106.0W
|
— | $0.25 | — |
|
—
|
X21S
3.943059Mh · 80.0W
|
— | $0.19 | — |
|
—
|
Xevan
3.06592Mh · 77.0W
|
— | $0.18 | — |
|
—
|
Chukwa
41.517Kh · 90.0W
|
— | $0.22 | — |
|
—
|
Jeonghash
4.848617Mh · 66.0W
|
— | $0.16 | — |
|
—
|
X17
5.419697Mh · 86.0W
|
— | $0.21 | — |
|
—
|
X16R
6.46822Mh · 86.0W
|
— | $0.21 | — |
|
—
|
Radiant
346.5355Mh · 42.0W
|
— | $0.10 | — |
|
—
|
X18
1.047943Mh · 0.0W
|
— | — | — |
|
—
|
Skein
450.67945Mh · 0.0W
|
— | — | — |
|
—
|
X22i
9.437658Mh · 78.0W
|
— | $0.19 | — |
|
—
|
Argon2d-dyn
70.45Kh · 92.0W
|
— | $0.22 | — |
|
—
|
HMQ1725
2.94621Mh · 89.0W
|
— | $0.21 | — |
|
—
|
Equihash(96,5)
5.597Kh · 65.0W
|
— | $0.16 | — |
|
—
|
Darkcoin
1.259Gh · 103.0W
|
— | $0.25 | — |
|
—
|
X25X
2.968859Mh · 95.0W
|
— | $0.23 | — |
|
—
|
BeamHashII
15Hh · 82.0W
|
— | $0.20 | — |
|
EPIC
⚠
Epic Cash
|
ProgPow
10.157Mh · 114.0W
|
— | $0.27 | — |
|
—
|
vProgPow
5.245789Mh · 72.0W
|
— | $0.17 | — |
FIRO
Firo
|
FiroPoW
10.8979Mh · 81.0W
|
— | $0.19 | — |
|
—
|
Dedal
5.139468Mh · 64.0W
|
— | $0.15 | — |
|
—
|
Tribus
31.303449Mh · 78.0W
|
— | $0.19 | — |
|
—
|
SHA512256d
530.0Hh · 90.0W
|
— | $0.22 | — |
|
—
|
CryptoNightHaven
609Hh · 59.0W
|
— | $0.14 | — |
|
GRIN
⚠
Grin
|
Cuckatoo32
0Hh · 68.0W
|
— | $0.16 | — |
|
—
|
Hex
5.589867Mh · 90.0W
|
— | $0.22 | — |
|
—
|
Ubqhash
21.026Mh · 58.0W
|
— | $0.14 | — |
|
—
|
Myr-Groestl
71.750451Mh · 50.0W
|
— | $0.12 | — |
|
—
|
Equihash(125,4)
20Hh · 57.0W
|
— | $0.14 | — |
|
—
|
HeavyHash
260.105244Mh · 93.0W
|
— | $0.22 | — |
|
—
|
CNReverseWaltz
676Hh · 53.0W
|
— | $0.13 | — |
|
—
|
CryptoNightLiteV7
1.095Kh · 49.0W
|
— | $0.12 | — |
|
—
|
Skydoge
330.0Mh · 40.0W
|
— | $0.10 | — |
|
—
|
EquihashBTG
28Hh · 103.0W
|
— | $0.25 | — |
|
—
|
CryptoNightFast
966Hh · 48.0W
|
— | $0.12 | — |
|
—
|
X16RTVEIL
5.304209Mh · 62.0W
|
— | $0.15 | — |
ACM
⚠
Actinium
|
Lyra2z
1.47164Mh · 56.0W
|
— | $0.13 | — |
|
—
|
RandomKEVA
544Hh · 70.0W
|
— | $0.17 | — |
|
—
|
Skunkhash
13.490914Mh · 66.0W
|
— | $0.16 | — |
|
—
|
Argon2d4096
18.657Kh · 59.0W
|
— | $0.14 | — |
|
—
|
RandomSFX
544Hh · 69.0W
|
— | $0.17 | — |
|
—
|
BMW512
1.003401922Gh · 99.0W
|
— | $0.24 | — |
|
—
|
Equihash(210,9)
146Hh · 102.0W
|
— | $0.24 | — |
|
—
|
CryptoNightArto
538Hh · 48.0W
|
— | $0.12 | — |
|
—
|
Skein2
383.722856Mh · 80.0W
|
— | $0.19 | — |
|
—
|
NIST5
20.42396Mh · 115.0W
|
— | $0.28 | — |
|
—
|
Equihash(144,5)
30Hh · 108.0W
|
— | $0.26 | — |
|
—
|
Blake3
14.4Hh · 90.0W
|
— | $0.22 | — |
|
—
|
X15
5.19056Mh · 48.0W
|
— | $0.12 | — |
|
—
|
CryptoNightStelliteV4
538Hh · 48.0W
|
— | $0.12 | — |
|
—
|
ScryptSIPC
611Kh · 94.0W
|
— | $0.23 | — |
|
—
|
Argon2d
150.0Hh · 100.0W
|
— | $0.24 | — |
|
—
|
Cuckaroom29
2.5Hh · 70.0W
|
— | $0.17 | — |
|
—
|
cuckARooz29
2.5Hh · 90.0W
|
— | $0.22 | — |
|
—
|
EvrProgPow
24.0Mh · 80.0W
|
— | $0.19 | — |
|
—
|
CryptoNightHeavy
551Hh · 63.0W
|
— | $0.15 | — |
|
—
|
Tensority
260Hh · 0.0W
|
— | — | — |
|
—
|
CryptoNightAlloy
0Hh · 0.0W
|
— | — | — |
|
—
|
PHI1612
9.825865Mh · 75.0W
|
— | $0.18 | — |
|
—
|
Blake (2s-Kadena)
650.569Mh · 110.0W
|
— | $0.26 | — |
|
—
|
BCD
15.30301Mh · 51.0W
|
— | $0.12 | — |
|
—
|
CryptoNightGPU
1.23Kh · 118.0W
|
— | $0.28 | — |
|
—
|
Cuckaroo29
3Hh · 91.0W
|
— | $0.22 | — |
|
—
|
CryptoNightR
541Hh · 64.0W
|
— | $0.15 | — |
|
—
|
Cuckatoo31
0Hh · 106.0W
|
— | $0.25 | — |
|
—
|
Argon2d250
461.65Kh · 72.0W
|
— | $0.17 | — |
|
—
|
SonoA
849.135Kh · 77.0W
|
— | $0.18 | — |
|
—
|
Keccak
610.13119Mh · 103.0W
|
— | $0.25 | — |
|
—
|
Blake (2s)
3.28305671Gh · 107.0W
|
— | $0.26 | — |
CKB
Nervos
|
Eaglesong
493.103Mh · 106.0W
|
— | $0.25 | — |
|
LTZ
⚠
Litecoinz
|
Zhash
32Hh · 81.0W
|
— | $0.19 | — |
KAS
Kaspa
|
KHeavyHash
37.0Hh · 90.0W
|
— | $0.22 | — |
IRON
⚠
Iron Fish
|
FishHash
10.7Mh · 90.0W
|
— | $0.22 | — |
|
—
|
CuckooBFC
4Hh · 95.0W
|
— | $0.23 | — |
|
—
|
Equihash(192,7)
18Hh · 57.0W
|
— | $0.14 | — |
|
—
|
CryptoNightStelliteV5
954Hh · 55.0W
|
— | $0.13 | — |
|
—
|
Cuckaroo29S
3Hh · 55.0W
|
— | $0.13 | — |
|
—
|
CryptoNightV7
550Hh · 51.0W
|
— | $0.12 | — |
|
—
|
CryptoNightZLS
681Hh · 55.0W
|
— | $0.13 | — |
|
—
|
X16RT
5.568584Mh · 93.0W
|
— | $0.22 | — |
|
—
|
C11
19.20532Mh · 118.0W
|
— | $0.28 | — |
|
—
|
Lyra2vc0ban
39.885327Mh · 81.0W
|
— | $0.19 | — |
|
—
|
X17R
5.253751Mh · 79.0W
|
— | $0.19 | — |
|
—
|
X33
8.214322Mh · 95.0W
|
— | $0.23 | — |
|
—
|
Astralhash
7.131191Mh · 67.0W
|
— | $0.16 | — |
|
—
|
Equihash+Scrypt
16.122Kh · 84.0W
|
— | $0.20 | — |
|
—
|
Chukwa2
14.721Kh · 102.0W
|
— | $0.24 | — |
|
—
|
MTP
42.0Mh · 90.0W
|
— | $0.22 | — |
|
—
|
Memehash
2.0Mh · 100.0W
|
— | $0.24 | — |
|
FTC
⚠
Feathercoin
|
NeoScrypt
814.14Kh · 113.0W
|
— | $0.27 | — |
|
—
|
Equihash(150,5)
17Hh · 78.0W
|
— | $0.19 | — |
|
—
|
Cuckaroo29b
3Hh · 58.0W
|
— | $0.14 | — |
|
—
|
EquihashBTCZ
29Hh · 98.0W
|
— | $0.24 | — |
|
—
|
EquihashSAFE
30Hh · 100.0W
|
— | $0.24 | — |
|
—
|
ChukwaWRKZ
0Hh · 0.0W
|
— | — | — |
|
—
|
Cuckarood29
1Hh · 82.0W
|
— | $0.20 | — |
|
—
|
Allium
6.18937Mh · 115.0W
|
— | $0.28 | — |
|
—
|
CryptoNightTurtle
4.252Kh · 54.0W
|
— | $0.13 | — |
|
—
|
Padihash
2.095887Mh · 99.0W
|
— | $0.24 | — |
|
—
|
CryptoNightV8
541Hh · 66.0W
|
— | $0.16 | — |
|
—
|
TimeTravel10
20.16308Mh · 50.0W
|
— | $0.12 | — |
|
—
|
CryptoNightConceal
1.02Kh · 57.0W
|
— | $0.14 | — |
|
—
|
CryptoNightUPX2
14.68Kh · 69.0W
|
— | $0.17 | — |
|
—
|
zkSNARK
240.0Mh · 40.0W
|
— | $0.10 | — |
|
—
|
X11k
1.094661Mh · 69.0W
|
— | $0.17 | — |
|
—
|
Pawelhash
3.423921Mh · 73.0W
|
— | $0.18 | — |
|
—
|
Keccak-C
608.10143Mh · 105.0W
|
— | $0.25 | — |
|
—
|
Globalhash
17.375812Mh · 53.0W
|
— | $0.13 | — |
| 矿池 | 支持算法 | 费率 | |
|---|---|---|---|
|
|
CuckooCycle (AE) · BeamHashIII (BEAM) · Eaglesong (CKB) | 1.0% | Visit → |
HeroMiners
|
BeamHashIII (BEAM) · Autolykos2 (ERG) · Etchash (ETC) | 0.9% | Visit → |
|
★
K1Pool
|
Autolykos2 (ERG) · Etchash (ETC) · KHeavyHash (KAS) | 1.0% | Visit → |
Rplant
|
FiroPoW (FIRO) · RandomX (XMR) | 1.0% | Visit → |
SupportXMR
|
RandomX (XMR) | 0.6% | Visit → |
| 平台 | GPU | 收入 | 成本 | 利润 |
|---|---|---|---|---|
|
Clore Ai
GPU 市场
|
GTX 1660
$0.028/h ·
1 个报价
|
$0.58
253 CLORE/day
1 CLORE ≈ $0.00228
|
$0.17 |
$0.41
★
访问 →
|
收入流 Nvidia GeForce GTX 1660 在 AI GPU 出租市场上的收益路径 how we got $0.41/day · ▾
Nvidia GeForce GTX 1660 出租给 AI 任务每日可赚 $0.41,明显超过挖 Octopus 的 $0.13/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 | $0.58 | $17.40 |
|
成本
$0.1/kWh
|
$0.17 | $5.10 |
| 利润 | $0.41 | $12.30 |
净算力市场收入历史
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $0.11 | $3.45 |
|
成本
$0.1/kWh
|
$0.17 | $5.10 |
| 利润 | $-0.06 | $-1.65 |
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Nvidia GeForce GTX 1660 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 | 6.75 kg |
| Nuclear | 7.36 kg |
| Hydroelectric | 14.72 kg |
| Geothermal | 23.31 kg |
| Solar | 27.6 kg |
| Biofuels | 141.09 kg |
| Gas | 300.59 kg |
| Coal | 503.02 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 GTX 1660 running 24/7 for a year releases about 291 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 GTX 1660's annual footprint swings from roughly 503 kg on coal-heavy grids down to about 15 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 | $0.58 | $17.35 |
|
成本
$0.1/kWh
|
$0.17 | $5.10 |
| 利润 | $0.41 | $12.25 |
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 | $0.30 | $9.00 |
|
成本
$0.1/kWh
|
$0.17 | $5.10 |
| 利润 | $0.13 | $3.90 |
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
CFX
⚠
Conflux
|
Octopus
20.053976Mh · 71.0W
|
$0.30 | $0.17 | $0.13 |
|
BEAM
⚠
Beam
|
BeamHashIII
12Hh · 93.0W
|
$0.05 | $0.22 | $-0.17 |
|
RVN
Ravencoin
|
KAWPOW
10.919185Mh · 83.0W
|
$0.05 | $0.20 | $-0.15 |
|
AE
⚠
Aeternity
|
CuckooCycle
3Hh · 58.0W
|
$0.04 | $0.14 | $-0.10 |
ERG
⚠
Ergo
|
Autolykos2
41.48Mh · 73.0W
|
$0.02 | $0.18 | $-0.16 |
|
ETC
Ethereum Classic
|
Etchash
21.328271Mh · 86.0W
|
$0.02 | $0.21 | $-0.19 |
|
XMR
Monero
|
RandomX
488Hh · 50.0W
|
$0.02 | $0.12 | $-0.10 |
|
MONA
⚠
Monacoin
|
Lyra2REv2
38.63007Mh · 94.0W
|
— | $0.23 | — |
|
HNS
⚠
Handshake
|
Handshake
197.4Mh · 102.0W
|
— | $0.24 | — |
|
—
|
Ethash
21.35007Mh · 76.0W
|
— | $0.18 | — |
|
—
|
X16Rv2
18.56555Mh · 97.0W
|
— | $0.23 | — |
|
—
|
CryptoNightHeavyX
280Hh · 55.0W
|
— | $0.13 | — |
|
VTC
⚠
Vertcoin
|
Verthash
26.0Mh · 90.0W
|
— | $0.22 | — |
|
—
|
HoneyComb
34.799003Mh · 79.0W
|
— | $0.19 | — |
|
—
|
PHI2
5.714594Mh · 0.0W
|
— | — | — |
|
—
|
Curvehash
3.0001Mh · 88.0W
|
— | $0.21 | — |
|
—
|
ProgPowZ
9.644342Mh · 78.0W
|
— | $0.19 | — |
|
—
|
CryptoNightSaber
538Hh · 66.0W
|
— | $0.16 | — |
|
—
|
X16S
13.60512Mh · 61.0W
|
— | $0.15 | — |
|
—
|
XelisHashV2
3.1Mh · 90.0W
|
— | $0.22 | — |
|
—
|
SHA-256csm
1.004580989Gh · 78.0W
|
— | $0.19 | — |
|
—
|
ProgPowSERO
10.27Mh · 106.0W
|
— | $0.25 | — |
|
—
|
X21S
3.943059Mh · 80.0W
|
— | $0.19 | — |
|
—
|
Xevan
3.06592Mh · 77.0W
|
— | $0.18 | — |
|
—
|
Chukwa
41.517Kh · 90.0W
|
— | $0.22 | — |
|
—
|
Jeonghash
4.848617Mh · 66.0W
|
— | $0.16 | — |
|
—
|
X17
5.419697Mh · 86.0W
|
— | $0.21 | — |
|
—
|
X16R
6.46822Mh · 86.0W
|
— | $0.21 | — |
|
—
|
Radiant
346.5355Mh · 42.0W
|
— | $0.10 | — |
|
—
|
X18
1.047943Mh · 0.0W
|
— | — | — |
|
—
|
Skein
450.67945Mh · 0.0W
|
— | — | — |
|
—
|
X22i
9.437658Mh · 78.0W
|
— | $0.19 | — |
|
—
|
Argon2d-dyn
70.45Kh · 92.0W
|
— | $0.22 | — |
|
—
|
HMQ1725
2.94621Mh · 89.0W
|
— | $0.21 | — |
|
—
|
Equihash(96,5)
5.597Kh · 65.0W
|
— | $0.16 | — |
|
—
|
Darkcoin
1.259Gh · 103.0W
|
— | $0.25 | — |
|
—
|
X25X
2.968859Mh · 95.0W
|
— | $0.23 | — |
|
—
|
BeamHashII
15Hh · 82.0W
|
— | $0.20 | — |
|
EPIC
⚠
Epic Cash
|
ProgPow
10.157Mh · 114.0W
|
— | $0.27 | — |
|
—
|
vProgPow
5.245789Mh · 72.0W
|
— | $0.17 | — |
FIRO
Firo
|
FiroPoW
10.8979Mh · 81.0W
|
— | $0.19 | — |
|
—
|
Dedal
5.139468Mh · 64.0W
|
— | $0.15 | — |
|
—
|
Tribus
31.303449Mh · 78.0W
|
— | $0.19 | — |
|
—
|
SHA512256d
530.0Hh · 90.0W
|
— | $0.22 | — |
|
—
|
CryptoNightHaven
609Hh · 59.0W
|
— | $0.14 | — |
|
GRIN
⚠
Grin
|
Cuckatoo32
0Hh · 68.0W
|
— | $0.16 | — |
|
—
|
Hex
5.589867Mh · 90.0W
|
— | $0.22 | — |
|
—
|
Ubqhash
21.026Mh · 58.0W
|
— | $0.14 | — |
|
—
|
Myr-Groestl
71.750451Mh · 50.0W
|
— | $0.12 | — |
|
—
|
Equihash(125,4)
20Hh · 57.0W
|
— | $0.14 | — |
|
—
|
HeavyHash
260.105244Mh · 93.0W
|
— | $0.22 | — |
|
—
|
CNReverseWaltz
676Hh · 53.0W
|
— | $0.13 | — |
|
—
|
CryptoNightLiteV7
1.095Kh · 49.0W
|
— | $0.12 | — |
|
—
|
Skydoge
330.0Mh · 40.0W
|
— | $0.10 | — |
|
—
|
EquihashBTG
28Hh · 103.0W
|
— | $0.25 | — |
|
—
|
CryptoNightFast
966Hh · 48.0W
|
— | $0.12 | — |
|
—
|
X16RTVEIL
5.304209Mh · 62.0W
|
— | $0.15 | — |
ACM
⚠
Actinium
|
Lyra2z
1.47164Mh · 56.0W
|
— | $0.13 | — |
|
—
|
RandomKEVA
544Hh · 70.0W
|
— | $0.17 | — |
|
—
|
Skunkhash
13.490914Mh · 66.0W
|
— | $0.16 | — |
|
—
|
Argon2d4096
18.657Kh · 59.0W
|
— | $0.14 | — |
|
—
|
RandomSFX
544Hh · 69.0W
|
— | $0.17 | — |
|
—
|
BMW512
1.003401922Gh · 99.0W
|
— | $0.24 | — |
|
—
|
Equihash(210,9)
146Hh · 102.0W
|
— | $0.24 | — |
|
—
|
CryptoNightArto
538Hh · 48.0W
|
— | $0.12 | — |
|
—
|
Skein2
383.722856Mh · 80.0W
|
— | $0.19 | — |
|
—
|
NIST5
20.42396Mh · 115.0W
|
— | $0.28 | — |
|
—
|
Equihash(144,5)
30Hh · 108.0W
|
— | $0.26 | — |
|
—
|
Blake3
14.4Hh · 90.0W
|
— | $0.22 | — |
|
—
|
X15
5.19056Mh · 48.0W
|
— | $0.12 | — |
|
—
|
CryptoNightStelliteV4
538Hh · 48.0W
|
— | $0.12 | — |
|
—
|
ScryptSIPC
611Kh · 94.0W
|
— | $0.23 | — |
|
—
|
Argon2d
150.0Hh · 100.0W
|
— | $0.24 | — |
|
—
|
Cuckaroom29
2.5Hh · 70.0W
|
— | $0.17 | — |
|
—
|
cuckARooz29
2.5Hh · 90.0W
|
— | $0.22 | — |
|
—
|
EvrProgPow
24.0Mh · 80.0W
|
— | $0.19 | — |
|
—
|
CryptoNightHeavy
551Hh · 63.0W
|
— | $0.15 | — |
|
—
|
Tensority
260Hh · 0.0W
|
— | — | — |
|
—
|
CryptoNightAlloy
0Hh · 0.0W
|
— | — | — |
|
—
|
PHI1612
9.825865Mh · 75.0W
|
— | $0.18 | — |
|
—
|
Blake (2s-Kadena)
650.569Mh · 110.0W
|
— | $0.26 | — |
|
—
|
BCD
15.30301Mh · 51.0W
|
— | $0.12 | — |
|
—
|
CryptoNightGPU
1.23Kh · 118.0W
|
— | $0.28 | — |
|
—
|
Cuckaroo29
3Hh · 91.0W
|
— | $0.22 | — |
|
—
|
CryptoNightR
541Hh · 64.0W
|
— | $0.15 | — |
|
—
|
Cuckatoo31
0Hh · 106.0W
|
— | $0.25 | — |
|
—
|
Argon2d250
461.65Kh · 72.0W
|
— | $0.17 | — |
|
—
|
SonoA
849.135Kh · 77.0W
|
— | $0.18 | — |
|
—
|
Keccak
610.13119Mh · 103.0W
|
— | $0.25 | — |
|
—
|
Blake (2s)
3.28305671Gh · 107.0W
|
— | $0.26 | — |
CKB
Nervos
|
Eaglesong
493.103Mh · 106.0W
|
— | $0.25 | — |
|
LTZ
⚠
Litecoinz
|
Zhash
32Hh · 81.0W
|
— | $0.19 | — |
KAS
Kaspa
|
KHeavyHash
37.0Hh · 90.0W
|
— | $0.22 | — |
IRON
⚠
Iron Fish
|
FishHash
10.7Mh · 90.0W
|
— | $0.22 | — |
|
—
|
CuckooBFC
4Hh · 95.0W
|
— | $0.23 | — |
|
—
|
Equihash(192,7)
18Hh · 57.0W
|
— | $0.14 | — |
|
—
|
CryptoNightStelliteV5
954Hh · 55.0W
|
— | $0.13 | — |
|
—
|
Cuckaroo29S
3Hh · 55.0W
|
— | $0.13 | — |
|
—
|
CryptoNightV7
550Hh · 51.0W
|
— | $0.12 | — |
|
—
|
CryptoNightZLS
681Hh · 55.0W
|
— | $0.13 | — |
|
—
|
X16RT
5.568584Mh · 93.0W
|
— | $0.22 | — |
|
—
|
C11
19.20532Mh · 118.0W
|
— | $0.28 | — |
|
—
|
Lyra2vc0ban
39.885327Mh · 81.0W
|
— | $0.19 | — |
|
—
|
X17R
5.253751Mh · 79.0W
|
— | $0.19 | — |
|
—
|
X33
8.214322Mh · 95.0W
|
— | $0.23 | — |
|
—
|
Astralhash
7.131191Mh · 67.0W
|
— | $0.16 | — |
|
—
|
Equihash+Scrypt
16.122Kh · 84.0W
|
— | $0.20 | — |
|
—
|
Chukwa2
14.721Kh · 102.0W
|
— | $0.24 | — |
|
—
|
MTP
42.0Mh · 90.0W
|
— | $0.22 | — |
|
—
|
Memehash
2.0Mh · 100.0W
|
— | $0.24 | — |
|
FTC
⚠
Feathercoin
|
NeoScrypt
814.14Kh · 113.0W
|
— | $0.27 | — |
|
—
|
Equihash(150,5)
17Hh · 78.0W
|
— | $0.19 | — |
|
—
|
Cuckaroo29b
3Hh · 58.0W
|
— | $0.14 | — |
|
—
|
EquihashBTCZ
29Hh · 98.0W
|
— | $0.24 | — |
|
—
|
EquihashSAFE
30Hh · 100.0W
|
— | $0.24 | — |
|
—
|
ChukwaWRKZ
0Hh · 0.0W
|
— | — | — |
|
—
|
Cuckarood29
1Hh · 82.0W
|
— | $0.20 | — |
|
—
|
Allium
6.18937Mh · 115.0W
|
— | $0.28 | — |
|
—
|
CryptoNightTurtle
4.252Kh · 54.0W
|
— | $0.13 | — |
|
—
|
Padihash
2.095887Mh · 99.0W
|
— | $0.24 | — |
|
—
|
CryptoNightV8
541Hh · 66.0W
|
— | $0.16 | — |
|
—
|
TimeTravel10
20.16308Mh · 50.0W
|
— | $0.12 | — |
|
—
|
CryptoNightConceal
1.02Kh · 57.0W
|
— | $0.14 | — |
|
—
|
CryptoNightUPX2
14.68Kh · 69.0W
|
— | $0.17 | — |
|
—
|
zkSNARK
240.0Mh · 40.0W
|
— | $0.10 | — |
|
—
|
X11k
1.094661Mh · 69.0W
|
— | $0.17 | — |
|
—
|
Pawelhash
3.423921Mh · 73.0W
|
— | $0.18 | — |
|
—
|
Keccak-C
608.10143Mh · 105.0W
|
— | $0.25 | — |
|
—
|
Globalhash
17.375812Mh · 53.0W
|
— | $0.13 | — |
| 矿池 | 支持算法 | 费率 | |
|---|---|---|---|
|
|
CuckooCycle (AE) · BeamHashIII (BEAM) · Eaglesong (CKB) | 1.0% | Visit → |
HeroMiners
|
BeamHashIII (BEAM) · Autolykos2 (ERG) · Etchash (ETC) | 0.9% | Visit → |
|
★
K1Pool
|
Autolykos2 (ERG) · Etchash (ETC) · KHeavyHash (KAS) | 1.0% | Visit → |
Rplant
|
FiroPoW (FIRO) · RandomX (XMR) | 1.0% | Visit → |
SupportXMR
|
RandomX (XMR) | 0.6% | Visit → |
| 平台 | GPU | 收入 | 成本 | 利润 |
|---|---|---|---|---|
|
Clore Ai
GPU 市场
|
GTX 1660
$0.028/h ·
1 个报价
|
$0.58
253 CLORE/day
1 CLORE ≈ $0.00228
|
$0.17 |
$0.41
★
访问 →
|
收入流 Nvidia GeForce GTX 1660 在 AI GPU 出租市场上的收益路径 how we got $0.41/day · ▾
Nvidia GeForce GTX 1660 出租给 AI 任务每日可赚 $0.41,明显超过挖 Octopus 的 $0.13/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 | $0.58 | $17.40 |
|
成本
$0.1/kWh
|
$0.17 | $5.10 |
| 利润 | $0.41 | $12.30 |
净算力市场收入历史
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $0.11 | $3.45 |
|
成本
$0.1/kWh
|
$0.17 | $5.10 |
| 利润 | $-0.06 | $-1.65 |
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Nvidia GeForce GTX 1660 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 | 6.75 kg |
| Nuclear | 7.36 kg |
| Hydroelectric | 14.72 kg |
| Geothermal | 23.31 kg |
| Solar | 27.6 kg |
| Biofuels | 141.09 kg |
| Gas | 300.59 kg |
| Coal | 503.02 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 GTX 1660 running 24/7 for a year releases about 291 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 GTX 1660's annual footprint swings from roughly 503 kg on coal-heavy grids down to about 15 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.