Nvidia RTX 3070Ti — 挖矿
Nvidia RTX 3070Ti 每天净赚 $0.55 挖 Octopus 算力 73.4761 Mh/s 功耗 217.0 W. 这是在扣除 $0.1/kWh 电费后的结果 — 按当前行情有利润。
Nvidia RTX 3070Ti 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。
此 GPU 仅有 ? GB 显存 — 大多数 AI 市场要求至少 12 GB。
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 | $1.07 | $32.24 |
|
成本
$0.1/kWh
|
$0.52 | $15.60 |
| 利润 | $0.55 | $16.64 |
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 | $1.07 | $32.10 |
|
成本
$0.1/kWh
|
$0.52 | $15.60 |
| 利润 | $0.55 | $16.50 |
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
CFX
⚠
Conflux
|
Octopus
73.4761Mh · 217.0W
|
$1.07 | $0.52 | $0.55 |
|
BEAM
⚠
Beam
|
BeamHashIII
37.3Hh · 188.0W
|
$0.15 | $0.45 | $-0.30 |
|
AE
⚠
Aeternity
|
CuckooCycle
9.21Hh · 184.0W
|
$0.13 | $0.44 | $-0.31 |
|
RVN
Ravencoin
|
KAWPOW
39.928Mh · 249.0W
|
$0.12 | $0.60 | $-0.48 |
ERG
⚠
Ergo
|
Autolykos2
189.7Mh · 171.0W
|
$0.11 | $0.41 | $-0.30 |
|
ETC
Ethereum Classic
|
Etchash
81.818Mh · 189.0W
|
$0.06 | $0.45 | $-0.39 |
NEXA
⚠
Nexa
|
NexaPoW
81.9834Mh · 179.0W
|
$0.05 | $0.43 | $-0.38 |
|
XMR
Monero
|
RandomX
1.1286Kh · 187.0W
|
$0.04 | $0.45 | $-0.41 |
|
MONA
⚠
Monacoin
|
Lyra2REv2
87.1671Mh · 279.0W
|
$0.01 | $0.67 | $-0.66 |
KAS
Kaspa
|
KHeavyHash
506.16Mh · 70.0W
|
— | $0.17 | — |
|
—
|
Darkcoin
2.939Gh · 238.0W
|
— | $0.57 | — |
|
—
|
NIST5
57.0385Mh · 185.0W
|
— | $0.44 | — |
|
—
|
Pawelhash
12.6141Mh · 193.0W
|
— | $0.46 | — |
ACM
⚠
Actinium
|
Lyra2z
6.2229Mh · 170.0W
|
— | $0.41 | — |
|
—
|
Ethash
81.818Mh · 189.0W
|
— | $0.45 | — |
|
—
|
Curvehash
11.319Mh · 288.0W
|
— | $0.69 | — |
|
—
|
Skunkhash
48.3103Mh · 224.0W
|
— | $0.54 | — |
|
—
|
EquihashBTG
99Hh · 261.0W
|
— | $0.63 | — |
|
—
|
X15
15.3274Mh · 263.0W
|
— | $0.63 | — |
|
—
|
Cuckaroom29
4.594Hh · 198.0W
|
— | $0.48 | — |
|
—
|
Ubqhash
46.377Mh · 259.0W
|
— | $0.62 | — |
|
—
|
ProgPowZ
33.5992Mh · 216.0W
|
— | $0.52 | — |
|
—
|
Equihash(96,5)
2.2598Kh · 144.0W
|
— | $0.35 | — |
|
—
|
Mike
1.6885Gh · 144.0W
|
— | $0.35 | — |
|
—
|
0x10
20.832Mh · 205.0W
|
— | $0.49 | — |
|
—
|
EvrProgPow
22.042Mh · 185.0W
|
— | $0.44 | — |
|
—
|
X16S
16.7032Mh · 197.0W
|
— | $0.47 | — |
|
—
|
X17
16.6279Mh · 199.0W
|
— | $0.48 | — |
|
—
|
EquihashSAFE
98Hh · 299.0W
|
— | $0.72 | — |
|
—
|
HMQ1725
9.9071Mh · 256.0W
|
— | $0.61 | — |
|
—
|
EquihashBTCZ
96Hh · 261.0W
|
— | $0.63 | — |
|
—
|
X17R
16.5893Mh · 198.0W
|
— | $0.48 | — |
|
—
|
Keccak-C
1.3035Gh · 247.0W
|
— | $0.59 | — |
|
—
|
Padihash
262.037Kh · 86.0W
|
— | $0.21 | — |
|
—
|
Dedal
16.7472Mh · 191.0W
|
— | $0.46 | — |
|
—
|
Skein2
692.0705Mh · 199.0W
|
— | $0.48 | — |
|
LTZ
⚠
Litecoinz
|
Zhash
107Hh · 207.0W
|
— | $0.50 | — |
|
—
|
vProgPow
16.2449Mh · 288.0W
|
— | $0.69 | — |
|
—
|
X25X
1.8549Mh · 162.0W
|
— | $0.39 | — |
|
—
|
SHA-256csm
262.2628Mh · 100.0W
|
— | $0.24 | — |
|
—
|
Hex
15.8866Mh · 188.0W
|
— | $0.45 | — |
|
—
|
Equihash(150,5)
44.4Hh · 303.0W
|
— | $0.73 | — |
|
—
|
Cuckarood29
2.84Hh · 196.0W
|
— | $0.47 | — |
|
VRSC
⚠
Verus
|
VerusHash
13.0075Mh · 199.0W
|
— | $0.48 | — |
|
—
|
SonoA
2.6328Mh · 191.0W
|
— | $0.46 | — |
|
—
|
Equihash210_9
377.036Hh · 295.0W
|
— | $0.71 | — |
FIRO
Firo
|
FiroPoW
35.033Mh · 287.0W
|
— | $0.69 | — |
|
—
|
Astralhash
24.4649Mh · 192.0W
|
— | $0.46 | — |
|
—
|
KarlsenHashV2
966.4398Mh · 114.0W
|
— | $0.27 | — |
|
—
|
GhostRider
1.463Kh · 161.0W
|
— | $0.39 | — |
|
—
|
Chukwa
137.1539Kh · 247.0W
|
— | $0.59 | — |
|
FTC
⚠
Feathercoin
|
NeoScrypt
1.6841Mh · 286.0W
|
— | $0.69 | — |
|
—
|
Equihash+Scrypt
44.578Kh · 185.0W
|
— | $0.44 | — |
|
—
|
PHI1612
38.6168Mh · 253.0W
|
— | $0.61 | — |
|
—
|
Xevan
6.527Mh · 257.0W
|
— | $0.62 | — |
|
—
|
CuckooBFC
11.798Hh · 213.0W
|
— | $0.51 | — |
|
—
|
SHA256DT
2.141Gh · 80.0W
|
— | $0.19 | — |
|
—
|
Jeonghash
13.6692Mh · 199.0W
|
— | $0.48 | — |
|
—
|
X16RTVEIL
16.7217Mh · 198.0W
|
— | $0.48 | — |
|
GRIN
⚠
Grin
|
Cuckatoo32
0.0095Hh · 278.0W
|
— | $0.67 | — |
|
—
|
Keccak
1.2951Gh · 221.0W
|
— | $0.53 | — |
|
—
|
RandomKEVA
1.2091Kh · 186.0W
|
— | $0.45 | — |
|
—
|
X11k
3.6946Mh · 211.0W
|
— | $0.51 | — |
|
—
|
HoneyComb
524.025Kh · 89.0W
|
— | $0.21 | — |
|
—
|
ProgPowVeil
29.497Mh · 199.0W
|
— | $0.48 | — |
|
—
|
Globalhash
62.2715Mh · 184.0W
|
— | $0.44 | — |
|
VTC
⚠
Vertcoin
|
Lyra2REv3
84.4561Mh · 268.0W
|
— | $0.64 | — |
|
—
|
Cuckatoo31
0.6Hh · 176.0W
|
— | $0.42 | — |
|
—
|
PyrinHash
4.7007Gh · 96.0W
|
— | $0.23 | — |
|
—
|
Equihash(125,4)
60.391Hh · 151.0W
|
— | $0.36 | — |
|
—
|
Equihash(144,5)
97Hh · 302.0W
|
— | $0.72 | — |
|
—
|
Argon2d4096
64.2246Kh · 185.0W
|
— | $0.44 | — |
|
—
|
Cortex
0.096Hh · 247.0W
|
— | $0.59 | — |
|
—
|
RandomSFX
1.2068Kh · 189.0W
|
— | $0.45 | — |
|
—
|
Blake2B
2.3065Gh · 160.0W
|
— | $0.38 | — |
|
EPIC
⚠
Epic Cash
|
ProgPow
35.266Mh · 308.0W
|
— | $0.74 | — |
|
—
|
HeavyHash
408.1788Mh · 243.0W
|
— | $0.58 | — |
|
—
|
BCD
18.8043Mh · 231.0W
|
— | $0.55 | — |
|
—
|
Blake (2s)
7.0965Gh · 245.0W
|
— | $0.59 | — |
|
—
|
Chukwa2
48.7513Kh · 246.0W
|
— | $0.59 | — |
|
—
|
Equihash192_7
53Hh · 308.0W
|
— | $0.74 | — |
|
—
|
Tribus
121.3582Mh · 240.0W
|
— | $0.58 | — |
|
—
|
Cuckaroo29S
4.593Hh · 203.0W
|
— | $0.49 | — |
|
—
|
Cuckaroo29b
4.57Hh · 174.0W
|
— | $0.42 | — |
|
—
|
ProgPowSERO
33.8703Mh · 266.0W
|
— | $0.64 | — |
|
—
|
TimeTravel10
47.6293Mh · 199.0W
|
— | $0.48 | — |
|
—
|
CNReverseWaltz
2.2083Kh · 202.0W
|
— | $0.48 | — |
|
—
|
X18
262.033Kh · 102.0W
|
— | $0.24 | — |
|
—
|
X21S
11.9714Mh · 194.0W
|
— | $0.47 | — |
|
—
|
DynexSolve
4.248Kh · 87.0W
|
— | $0.21 | — |
|
—
|
C11
21.2565Mh · 209.0W
|
— | $0.50 | — |
|
—
|
Radiant
741.0732Mh · 138.0W
|
— | $0.33 | — |
|
—
|
Argon2d250
1.3854Mh · 288.0W
|
— | $0.69 | — |
|
—
|
BeamHashII
35.98Hh · 248.0W
|
— | $0.60 | — |
|
—
|
X16Rv2
13.4329Mh · 184.0W
|
— | $0.44 | — |
|
—
|
X16RT
16.6317Mh · 193.0W
|
— | $0.46 | — |
|
—
|
X22i
524.089Kh · 105.0W
|
— | $0.25 | — |
|
—
|
Blake3
1.153Gh · 77.0W
|
— | $0.18 | — |
|
—
|
Lyra2vc0ban
79.4155Mh · 194.0W
|
— | $0.47 | — |
|
—
|
X16R
22.3753Mh · 226.0W
|
— | $0.54 | — |
| 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
|
Autolykos2 (ERG) · Etchash (ETC) · KHeavyHash (KAS) | 1.0% | Visit → |
Rplant
|
FiroPoW (FIRO) · NexaPoW (NEXA) · RandomX (XMR) | 1.0% | Visit → |
SupportXMR
|
RandomX (XMR) | 0.6% | Visit → |
净算力市场收入历史
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $0.42 | $12.59 |
|
成本
$0.1/kWh
|
$0.52 | $15.60 |
| 利润 | $-0.10 | $-3.01 |
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Nvidia RTX 3070Ti 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 | 20.62 kg |
| Nuclear | 22.5 kg |
| Hydroelectric | 45.0 kg |
| Geothermal | 71.25 kg |
| Solar | 84.37 kg |
| Biofuels | 431.22 kg |
| Gas | 918.69 kg |
| Coal | 1,537.4 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 RTX 3070Ti running 24/7 for a year releases about 891 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 RTX 3070Ti's annual footprint swings from roughly 1,537 kg on coal-heavy grids down to about 45 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.
此 GPU 仅有 ? GB 显存 — 大多数 AI 市场要求至少 12 GB。
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 | $1.07 | $32.24 |
|
成本
$0.1/kWh
|
$0.52 | $15.60 |
| 利润 | $0.55 | $16.64 |
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 | $1.07 | $32.10 |
|
成本
$0.1/kWh
|
$0.52 | $15.60 |
| 利润 | $0.55 | $16.50 |
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
CFX
⚠
Conflux
|
Octopus
73.4761Mh · 217.0W
|
$1.07 | $0.52 | $0.55 |
|
BEAM
⚠
Beam
|
BeamHashIII
37.3Hh · 188.0W
|
$0.15 | $0.45 | $-0.30 |
|
AE
⚠
Aeternity
|
CuckooCycle
9.21Hh · 184.0W
|
$0.13 | $0.44 | $-0.31 |
|
RVN
Ravencoin
|
KAWPOW
39.928Mh · 249.0W
|
$0.12 | $0.60 | $-0.48 |
ERG
⚠
Ergo
|
Autolykos2
189.7Mh · 171.0W
|
$0.11 | $0.41 | $-0.30 |
|
ETC
Ethereum Classic
|
Etchash
81.818Mh · 189.0W
|
$0.06 | $0.45 | $-0.39 |
NEXA
⚠
Nexa
|
NexaPoW
81.9834Mh · 179.0W
|
$0.05 | $0.43 | $-0.38 |
|
XMR
Monero
|
RandomX
1.1286Kh · 187.0W
|
$0.04 | $0.45 | $-0.41 |
|
MONA
⚠
Monacoin
|
Lyra2REv2
87.1671Mh · 279.0W
|
$0.01 | $0.67 | $-0.66 |
KAS
Kaspa
|
KHeavyHash
506.16Mh · 70.0W
|
— | $0.17 | — |
|
—
|
Darkcoin
2.939Gh · 238.0W
|
— | $0.57 | — |
|
—
|
NIST5
57.0385Mh · 185.0W
|
— | $0.44 | — |
|
—
|
Pawelhash
12.6141Mh · 193.0W
|
— | $0.46 | — |
ACM
⚠
Actinium
|
Lyra2z
6.2229Mh · 170.0W
|
— | $0.41 | — |
|
—
|
Ethash
81.818Mh · 189.0W
|
— | $0.45 | — |
|
—
|
Curvehash
11.319Mh · 288.0W
|
— | $0.69 | — |
|
—
|
Skunkhash
48.3103Mh · 224.0W
|
— | $0.54 | — |
|
—
|
EquihashBTG
99Hh · 261.0W
|
— | $0.63 | — |
|
—
|
X15
15.3274Mh · 263.0W
|
— | $0.63 | — |
|
—
|
Cuckaroom29
4.594Hh · 198.0W
|
— | $0.48 | — |
|
—
|
Ubqhash
46.377Mh · 259.0W
|
— | $0.62 | — |
|
—
|
ProgPowZ
33.5992Mh · 216.0W
|
— | $0.52 | — |
|
—
|
Equihash(96,5)
2.2598Kh · 144.0W
|
— | $0.35 | — |
|
—
|
Mike
1.6885Gh · 144.0W
|
— | $0.35 | — |
|
—
|
0x10
20.832Mh · 205.0W
|
— | $0.49 | — |
|
—
|
EvrProgPow
22.042Mh · 185.0W
|
— | $0.44 | — |
|
—
|
X16S
16.7032Mh · 197.0W
|
— | $0.47 | — |
|
—
|
X17
16.6279Mh · 199.0W
|
— | $0.48 | — |
|
—
|
EquihashSAFE
98Hh · 299.0W
|
— | $0.72 | — |
|
—
|
HMQ1725
9.9071Mh · 256.0W
|
— | $0.61 | — |
|
—
|
EquihashBTCZ
96Hh · 261.0W
|
— | $0.63 | — |
|
—
|
X17R
16.5893Mh · 198.0W
|
— | $0.48 | — |
|
—
|
Keccak-C
1.3035Gh · 247.0W
|
— | $0.59 | — |
|
—
|
Padihash
262.037Kh · 86.0W
|
— | $0.21 | — |
|
—
|
Dedal
16.7472Mh · 191.0W
|
— | $0.46 | — |
|
—
|
Skein2
692.0705Mh · 199.0W
|
— | $0.48 | — |
|
LTZ
⚠
Litecoinz
|
Zhash
107Hh · 207.0W
|
— | $0.50 | — |
|
—
|
vProgPow
16.2449Mh · 288.0W
|
— | $0.69 | — |
|
—
|
X25X
1.8549Mh · 162.0W
|
— | $0.39 | — |
|
—
|
SHA-256csm
262.2628Mh · 100.0W
|
— | $0.24 | — |
|
—
|
Hex
15.8866Mh · 188.0W
|
— | $0.45 | — |
|
—
|
Equihash(150,5)
44.4Hh · 303.0W
|
— | $0.73 | — |
|
—
|
Cuckarood29
2.84Hh · 196.0W
|
— | $0.47 | — |
|
VRSC
⚠
Verus
|
VerusHash
13.0075Mh · 199.0W
|
— | $0.48 | — |
|
—
|
SonoA
2.6328Mh · 191.0W
|
— | $0.46 | — |
|
—
|
Equihash210_9
377.036Hh · 295.0W
|
— | $0.71 | — |
FIRO
Firo
|
FiroPoW
35.033Mh · 287.0W
|
— | $0.69 | — |
|
—
|
Astralhash
24.4649Mh · 192.0W
|
— | $0.46 | — |
|
—
|
KarlsenHashV2
966.4398Mh · 114.0W
|
— | $0.27 | — |
|
—
|
GhostRider
1.463Kh · 161.0W
|
— | $0.39 | — |
|
—
|
Chukwa
137.1539Kh · 247.0W
|
— | $0.59 | — |
|
FTC
⚠
Feathercoin
|
NeoScrypt
1.6841Mh · 286.0W
|
— | $0.69 | — |
|
—
|
Equihash+Scrypt
44.578Kh · 185.0W
|
— | $0.44 | — |
|
—
|
PHI1612
38.6168Mh · 253.0W
|
— | $0.61 | — |
|
—
|
Xevan
6.527Mh · 257.0W
|
— | $0.62 | — |
|
—
|
CuckooBFC
11.798Hh · 213.0W
|
— | $0.51 | — |
|
—
|
SHA256DT
2.141Gh · 80.0W
|
— | $0.19 | — |
|
—
|
Jeonghash
13.6692Mh · 199.0W
|
— | $0.48 | — |
|
—
|
X16RTVEIL
16.7217Mh · 198.0W
|
— | $0.48 | — |
|
GRIN
⚠
Grin
|
Cuckatoo32
0.0095Hh · 278.0W
|
— | $0.67 | — |
|
—
|
Keccak
1.2951Gh · 221.0W
|
— | $0.53 | — |
|
—
|
RandomKEVA
1.2091Kh · 186.0W
|
— | $0.45 | — |
|
—
|
X11k
3.6946Mh · 211.0W
|
— | $0.51 | — |
|
—
|
HoneyComb
524.025Kh · 89.0W
|
— | $0.21 | — |
|
—
|
ProgPowVeil
29.497Mh · 199.0W
|
— | $0.48 | — |
|
—
|
Globalhash
62.2715Mh · 184.0W
|
— | $0.44 | — |
|
VTC
⚠
Vertcoin
|
Lyra2REv3
84.4561Mh · 268.0W
|
— | $0.64 | — |
|
—
|
Cuckatoo31
0.6Hh · 176.0W
|
— | $0.42 | — |
|
—
|
PyrinHash
4.7007Gh · 96.0W
|
— | $0.23 | — |
|
—
|
Equihash(125,4)
60.391Hh · 151.0W
|
— | $0.36 | — |
|
—
|
Equihash(144,5)
97Hh · 302.0W
|
— | $0.72 | — |
|
—
|
Argon2d4096
64.2246Kh · 185.0W
|
— | $0.44 | — |
|
—
|
Cortex
0.096Hh · 247.0W
|
— | $0.59 | — |
|
—
|
RandomSFX
1.2068Kh · 189.0W
|
— | $0.45 | — |
|
—
|
Blake2B
2.3065Gh · 160.0W
|
— | $0.38 | — |
|
EPIC
⚠
Epic Cash
|
ProgPow
35.266Mh · 308.0W
|
— | $0.74 | — |
|
—
|
HeavyHash
408.1788Mh · 243.0W
|
— | $0.58 | — |
|
—
|
BCD
18.8043Mh · 231.0W
|
— | $0.55 | — |
|
—
|
Blake (2s)
7.0965Gh · 245.0W
|
— | $0.59 | — |
|
—
|
Chukwa2
48.7513Kh · 246.0W
|
— | $0.59 | — |
|
—
|
Equihash192_7
53Hh · 308.0W
|
— | $0.74 | — |
|
—
|
Tribus
121.3582Mh · 240.0W
|
— | $0.58 | — |
|
—
|
Cuckaroo29S
4.593Hh · 203.0W
|
— | $0.49 | — |
|
—
|
Cuckaroo29b
4.57Hh · 174.0W
|
— | $0.42 | — |
|
—
|
ProgPowSERO
33.8703Mh · 266.0W
|
— | $0.64 | — |
|
—
|
TimeTravel10
47.6293Mh · 199.0W
|
— | $0.48 | — |
|
—
|
CNReverseWaltz
2.2083Kh · 202.0W
|
— | $0.48 | — |
|
—
|
X18
262.033Kh · 102.0W
|
— | $0.24 | — |
|
—
|
X21S
11.9714Mh · 194.0W
|
— | $0.47 | — |
|
—
|
DynexSolve
4.248Kh · 87.0W
|
— | $0.21 | — |
|
—
|
C11
21.2565Mh · 209.0W
|
— | $0.50 | — |
|
—
|
Radiant
741.0732Mh · 138.0W
|
— | $0.33 | — |
|
—
|
Argon2d250
1.3854Mh · 288.0W
|
— | $0.69 | — |
|
—
|
BeamHashII
35.98Hh · 248.0W
|
— | $0.60 | — |
|
—
|
X16Rv2
13.4329Mh · 184.0W
|
— | $0.44 | — |
|
—
|
X16RT
16.6317Mh · 193.0W
|
— | $0.46 | — |
|
—
|
X22i
524.089Kh · 105.0W
|
— | $0.25 | — |
|
—
|
Blake3
1.153Gh · 77.0W
|
— | $0.18 | — |
|
—
|
Lyra2vc0ban
79.4155Mh · 194.0W
|
— | $0.47 | — |
|
—
|
X16R
22.3753Mh · 226.0W
|
— | $0.54 | — |
| 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
|
Autolykos2 (ERG) · Etchash (ETC) · KHeavyHash (KAS) | 1.0% | Visit → |
Rplant
|
FiroPoW (FIRO) · NexaPoW (NEXA) · RandomX (XMR) | 1.0% | Visit → |
SupportXMR
|
RandomX (XMR) | 0.6% | Visit → |
净算力市场收入历史
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $0.42 | $12.59 |
|
成本
$0.1/kWh
|
$0.52 | $15.60 |
| 利润 | $-0.10 | $-3.01 |
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Nvidia RTX 3070Ti 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 | 20.62 kg |
| Nuclear | 22.5 kg |
| Hydroelectric | 45.0 kg |
| Geothermal | 71.25 kg |
| Solar | 84.37 kg |
| Biofuels | 431.22 kg |
| Gas | 918.69 kg |
| Coal | 1,537.4 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 RTX 3070Ti running 24/7 for a year releases about 891 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 RTX 3070Ti's annual footprint swings from roughly 1,537 kg on coal-heavy grids down to about 45 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.