LP Agent
Nvidia RTX 4060Ti
Nvidia RTX 4060Ti 每天净赚 $0.10 挖 Octopus 算力 33.4158 Mh/s 功耗 129.0 W. 这是在扣除 $0.1/kWh 电费后的结果 — 按当前行情有利润。
每日预测
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $2.61 | $78.18 |
|
成本
$0.1/kWh
|
$0.31 | $9.30 |
| 利润 | $2.30 | $68.89 |
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
CFX
⚠
Conflux
|
Octopus
33.4158Mh · 129.0W
|
$0.41 | $0.31 | $0.10 |
|
FTC
⚠
Feathercoin
|
NeoScrypt
1.4938Mh · 90.0W
|
— | $0.22 | — |
|
RVN
Ravencoin
|
KAWPOW
16.5489Mh · 133.0W
|
$0.07 | $0.32 | $-0.25 |
|
—
|
Ethash
33.7155Mh · 102.0W
|
— | $0.24 | — |
|
LTZ
⚠
Litecoinz
|
Zhash
63Hh · 157.0W
|
— | $0.38 | — |
ERG
⚠
Ergo
|
Autolykos2
77.5671Mh · 96.0W
|
$0.03 | $0.23 | $-0.20 |
NEXA
⚠
Nexa
|
NexaPoW
11.3222Mh · 63.0W
|
$0.02 | $0.15 | $-0.13 |
|
ETC
Ethereum Classic
|
Etchash
33.7155Mh · 102.0W
|
$0.02 | $0.24 | $-0.22 |
|
VRSC
⚠
Verus
|
VerusHash
10.4735Mh · 122.0W
|
— | $0.29 | — |
|
MONA
⚠
Monacoin
|
Lyra2REv2
79.7942Mh · 170.0W
|
— | $0.41 | — |
KAS
Kaspa
|
KHeavyHash
706.4096Mh · 158.0W
|
— | $0.38 | — |
|
IRON
⚠
Iron Fish
|
FishHash
19.2Mh · 110.0W
|
— | $0.26 | — |
|
—
|
X16Rv2
18.1676Mh · 154.0W
|
— | $0.37 | — |
|
VTC
⚠
Vertcoin
|
Verthash
583.5097Kh · 91.0W
|
— | $0.22 | — |
|
—
|
Equihash(210,9)
278Hh · 153.0W
|
— | $0.37 | — |
|
—
|
EvrProgPow
39.0Mh · 80.0W
|
— | $0.19 | — |
|
—
|
Skydoge
900.0Mh · 100.0W
|
— | $0.24 | — |
|
—
|
Equihash(192,7)
33Hh · 149.0W
|
— | $0.36 | — |
FIRO
Firo
|
FiroPoW
16.8109Mh · 148.0W
|
— | $0.36 | — |
|
—
|
Keccak
1.3643Gh · 153.0W
|
— | $0.37 | — |
|
—
|
Keccak-C
1.3367Gh · 155.0W
|
— | $0.37 | — |
|
ACM
⚠
Actinium
|
Lyra2z
6.2355Mh · 95.0W
|
— | $0.23 | — |
|
—
|
XelisHashV2
3.9Gh · 110.0W
|
— | $0.26 | — |
|
—
|
zkSNARK
570.0Mh · 70.0W
|
— | $0.17 | — |
|
—
|
GhostRider
885Hh · 97.0W
|
— | $0.23 | — |
|
—
|
HeavyHash
508.4924Mh · 160.0W
|
— | $0.38 | — |
|
—
|
Tribus
46.0465Mh · 168.0W
|
— | $0.40 | — |
|
—
|
Ubqhash
33.487Mh · 114.0W
|
— | $0.27 | — |
|
—
|
X16R
19.8281Mh · 159.0W
|
— | $0.38 | — |
|
—
|
Blake (2s)
7.6096Gh · 175.0W
|
— | $0.42 | — |
|
—
|
Curvehash
2.0578Mh · 99.0W
|
— | $0.24 | — |
|
—
|
Equihash(125,4)
53.573Hh · 159.0W
|
— | $0.38 | — |
|
—
|
Equihash(144,5)
62Hh · 150.0W
|
— | $0.36 | — |
|
—
|
PHI1612
31.4102Mh · 140.0W
|
— | $0.34 | — |
|
—
|
ProgPowSERO
16.9997Mh · 154.0W
|
— | $0.37 | — |
|
—
|
ProgPowZ
16.7331Mh · 153.0W
|
— | $0.37 | — |
|
—
|
Radiant
752.9697Mh · 150.0W
|
— | $0.36 | — |
|
—
|
X16RT
19.7751Mh · 157.0W
|
— | $0.38 | — |
|
—
|
X21S
13.7849Mh · 150.0W
|
— | $0.36 | — |
|
—
|
X25X
2.4172Mh · 77.0W
|
— | $0.18 | — |
|
—
|
BCD
24.0577Mh · 160.0W
|
— | $0.38 | — |
LP Agent
- Architecture
- Ada Lovelace
- Base Clock
- 2310 MHz
- Boost Clock
- 2540 MHz
- CUDA cores
- 4352
- GPU Power
- 165 W
- Max Memory Size
- 16 GB
- Memory Type
- GDDR6X
- Mining algos
- 10
- Model
- Nvidia RTX 4060Ti
- Power
- 175 W
- Process
- 5 nm
- Release
- May 2023
- Release year
- 2023
- TDP
- 175 W
- Type
- GPU
- Vendor
- Nvidia
| 市场 | 算法 | 利润 /天 | |||
|---|---|---|---|---|---|
|
MRR floor
0% rented · matches cheapest seller
|
Lyra2REv2
0.00000030000 BTC/M/d
|
$1.51
★
$1.82 收入 · $0.31 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
Lyra2REv2
0.00002520563 BTC/M/d
|
$152.52
★
$152.83 收入 · $0.31 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Lyra2REv2
0.00000054154 BTC/M/d
|
$2.97
$3.28 收入 · $0.31 成本
|
|||
| Lyra2z | |||||
|
MRR floor
0% rented · matches cheapest seller
|
Lyra2z
0.00000550000 BTC/M/d
|
$2.30
★
$2.61 收入 · $0.31 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
Lyra2z
0.00000600172 BTC/M/d
|
$2.53
★
$2.84 收入 · $0.31 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Lyra2z
0.00000796172 BTC/M/d
|
$3.46
$3.77 收入 · $0.31 成本
|
|||
| Octopus | |||||
|
NiceHash
seller 24h-weighted avg
|
Octopus
0.00000002969 BTC/M/d
|
$-0.23
$0.08 收入 · $0.31 成本
访问 →
|
|||
|
MRR floor
0% rented · matches cheapest seller
|
Octopus
0.00000011000 BTC/M/d
|
$-0.03
★
$0.28 收入 · $0.31 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
Octopus
0.00000064110 BTC/M/d
|
$1.32
★
$1.63 收入 · $0.31 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Octopus
0.00000015403 BTC/M/d
|
$0.08
$0.39 收入 · $0.31 成本
|
|||
| X16Rv2 | |||||
|
MRR floor
0% rented · matches cheapest seller
|
X16Rv2
0.00000053947 BTC/M/d
|
$0.43
★
$0.74 收入 · $0.31 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
X16Rv2
0.00000063655 BTC/M/d
|
$0.57
★
$0.88 收入 · $0.31 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
X16Rv2
0.00000078590 BTC/M/d
|
$0.77
$1.08 收入 · $0.31 成本
|
|||
| X16R | |||||
|
MRR floor
0% rented · matches cheapest seller
|
X16R
0.00000053947 BTC/M/d
|
$0.50
★
$0.81 收入 · $0.31 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
X16R
0.00000061118 BTC/M/d
|
$0.61
★
$0.92 收入 · $0.31 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
X16R
0.00000056233 BTC/M/d
|
$0.54
$0.85 收入 · $0.31 成本
|
|||
| NeoScrypt | |||||
|
NiceHash
seller 24h-weighted avg
|
NeoScrypt
0.00000062223 BTC/M/d
|
$-0.24
$0.07 收入 · $0.31 成本
访问 →
|
|||
|
MRR floor
2% rented · matches cheapest seller
|
NeoScrypt
0.00000320000 BTC/M/d
|
$0.05
★
$0.36 收入 · $0.31 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
NeoScrypt
0.00000314000 BTC/M/d
|
$0.05
★
$0.36 收入 · $0.31 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
NeoScrypt
0.00000359000 BTC/M/d
|
$0.10
$0.41 收入 · $0.31 成本
|
|||
| Zhash | |||||
|
NiceHash
seller 24h-weighted avg
|
Zhash
0.00000000717 BTC/H/d
|
$-0.28
$0.03 收入 · $0.31 成本
访问 →
|
|||
|
MRR floor
0% rented · matches cheapest seller
|
Zhash
0.00000007080 BTC/H/d
|
$0.03
★
$0.34 收入 · $0.31 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
Zhash
0.00000008185 BTC/H/d
|
$0.08
★
$0.39 收入 · $0.31 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Zhash
0.00000007080 BTC/H/d
|
$0.03
$0.34 收入 · $0.31 成本
|
|||
| FishHash | |||||
|
NiceHash
seller 24h-weighted avg
|
FishHash
0.00000003169 BTC/M/d
|
$-0.26
$0.05 收入 · $0.31 成本
访问 →
|
|||
|
MRR floor
0% rented · matches cheapest seller
|
FishHash
0.00000012000 BTC/M/d
|
$-0.13
★
$0.18 收入 · $0.31 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
FishHash
0.00000015078 BTC/M/d
|
$-0.09
★
$0.22 收入 · $0.31 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
FishHash
0.00000025471 BTC/M/d
|
$0.06
$0.37 收入 · $0.31 成本
|
|||
| NexaPoW | |||||
|
NiceHash
seller 24h-weighted avg
|
NexaPoW
0.00000002179 BTC/M/d
|
$-0.29
$0.02 收入 · $0.31 成本
访问 →
|
|||
|
MRR floor
0% rented · matches cheapest seller
|
NexaPoW
0.00000006296 BTC/M/d
|
$-0.26
★
$0.05 收入 · $0.31 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
NexaPoW
0.00000032850 BTC/M/d
|
$-0.03
★
$0.28 收入 · $0.31 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
NexaPoW
0.00000011682 BTC/M/d
|
$-0.21
$0.10 收入 · $0.31 成本
|
|||
| VerusHash | |||||
|
NiceHash
seller 24h-weighted avg
|
VerusHash
0.00000002286 BTC/M/d
|
$-0.29
$0.02 收入 · $0.31 成本
访问 →
|
|||
|
MRR floor
0% rented · matches cheapest seller
|
VerusHash
0.00000010999 BTC/M/d
|
$-0.22
★
$0.09 收入 · $0.31 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
VerusHash
0.00000023020 BTC/M/d
|
$-0.13
★
$0.18 收入 · $0.31 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
VerusHash
0.00000014372 BTC/M/d
|
$-0.20
$0.11 收入 · $0.31 成本
|
|||
| KAWPOW | |||||
|
NiceHash
seller 24h-weighted avg
|
KAWPOW
0.00000005616 BTC/M/d
|
$-0.24
$0.07 收入 · $0.31 成本
访问 →
|
|||
|
MRR floor
3% rented · matches cheapest seller
|
KAWPOW
0.00000009990 BTC/M/d
|
$-0.18
★
$0.13 收入 · $0.31 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
KAWPOW
0.00000013130 BTC/M/d
|
$-0.14
★
$0.17 收入 · $0.31 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
KAWPOW
0.00000012398 BTC/M/d
|
$-0.15
$0.16 收入 · $0.31 成本
|
|||
| Ethash | |||||
|
NiceHash
seller 24h-weighted avg
|
Ethash
0.00000002000 BTC/M/d
|
$-0.26
★
$0.05 收入 · $0.31 成本
访问 →
|
|||
| Etchash | |||||
|
NiceHash
seller 24h-weighted avg
|
Etchash
0.00000000530 BTC/M/d
|
$-0.30
$0.01 收入 · $0.31 成本
访问 →
|
|||
|
MRR floor
5% rented · matches cheapest seller
|
Etchash
0.00000001320 BTC/M/d
|
$-0.28
★
$0.03 收入 · $0.31 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
Etchash
0.00000001507 BTC/M/d
|
$-0.27
★
$0.04 收入 · $0.31 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Etchash
0.00000001230 BTC/M/d
|
$-0.28
$0.03 收入 · $0.31 成本
|
|||
| Autolykos2 | |||||
|
NiceHash
seller 24h-weighted avg
|
Autolykos2
0.00000000584 BTC/M/d
|
$-0.28
★
$0.03 收入 · $0.31 成本
访问 →
|
|||
| KHeavyHash | |||||
|
NiceHash
seller 24h-weighted avg
|
KHeavyHash
0.00000260887 BTC/T/d
|
$-0.31
$0.00 收入 · $0.31 成本
访问 →
|
|||
|
MRR floor
5% rented · matches cheapest seller
|
KHeavyHash
0.00000280000 BTC/T/d
|
$-0.31
★
$0.00 收入 · $0.31 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
KHeavyHash
0.00000387000 BTC/T/d
|
$-0.31
★
$0.00 收入 · $0.31 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
KHeavyHash
0.00000528000 BTC/T/d
|
$-0.31
$0.00 收入 · $0.31 成本
|
|||
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Nvidia RTX 4060Ti 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 | 12.26 kg |
| Nuclear | 13.37 kg |
| Hydroelectric | 26.75 kg |
| Geothermal | 42.35 kg |
| Solar | 50.16 kg |
| Biofuels | 256.35 kg |
| Gas | 546.13 kg |
| Coal | 913.94 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 4060Ti running 24/7 for a year releases about 529 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 4060Ti's annual footprint swings from roughly 914 kg on coal-heavy grids down to about 27 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
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $2.61 | $78.18 |
|
成本
$0.1/kWh
|
$0.31 | $9.30 |
| 利润 | $2.30 | $68.89 |
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
CFX
⚠
Conflux
|
Octopus
33.4158Mh · 129.0W
|
$0.41 | $0.31 | $0.10 |
|
FTC
⚠
Feathercoin
|
NeoScrypt
1.4938Mh · 90.0W
|
— | $0.22 | — |
|
RVN
Ravencoin
|
KAWPOW
16.5489Mh · 133.0W
|
$0.07 | $0.32 | $-0.25 |
|
—
|
Ethash
33.7155Mh · 102.0W
|
— | $0.24 | — |
|
LTZ
⚠
Litecoinz
|
Zhash
63Hh · 157.0W
|
— | $0.38 | — |
ERG
⚠
Ergo
|
Autolykos2
77.5671Mh · 96.0W
|
$0.03 | $0.23 | $-0.20 |
NEXA
⚠
Nexa
|
NexaPoW
11.3222Mh · 63.0W
|
$0.02 | $0.15 | $-0.13 |
|
ETC
Ethereum Classic
|
Etchash
33.7155Mh · 102.0W
|
$0.02 | $0.24 | $-0.22 |
|
VRSC
⚠
Verus
|
VerusHash
10.4735Mh · 122.0W
|
— | $0.29 | — |
|
MONA
⚠
Monacoin
|
Lyra2REv2
79.7942Mh · 170.0W
|
— | $0.41 | — |
KAS
Kaspa
|
KHeavyHash
706.4096Mh · 158.0W
|
— | $0.38 | — |
|
IRON
⚠
Iron Fish
|
FishHash
19.2Mh · 110.0W
|
— | $0.26 | — |
|
—
|
X16Rv2
18.1676Mh · 154.0W
|
— | $0.37 | — |
|
VTC
⚠
Vertcoin
|
Verthash
583.5097Kh · 91.0W
|
— | $0.22 | — |
|
—
|
Equihash(210,9)
278Hh · 153.0W
|
— | $0.37 | — |
|
—
|
EvrProgPow
39.0Mh · 80.0W
|
— | $0.19 | — |
|
—
|
Skydoge
900.0Mh · 100.0W
|
— | $0.24 | — |
|
—
|
Equihash(192,7)
33Hh · 149.0W
|
— | $0.36 | — |
FIRO
Firo
|
FiroPoW
16.8109Mh · 148.0W
|
— | $0.36 | — |
|
—
|
Keccak
1.3643Gh · 153.0W
|
— | $0.37 | — |
|
—
|
Keccak-C
1.3367Gh · 155.0W
|
— | $0.37 | — |
|
ACM
⚠
Actinium
|
Lyra2z
6.2355Mh · 95.0W
|
— | $0.23 | — |
|
—
|
XelisHashV2
3.9Gh · 110.0W
|
— | $0.26 | — |
|
—
|
zkSNARK
570.0Mh · 70.0W
|
— | $0.17 | — |
|
—
|
GhostRider
885Hh · 97.0W
|
— | $0.23 | — |
|
—
|
HeavyHash
508.4924Mh · 160.0W
|
— | $0.38 | — |
|
—
|
Tribus
46.0465Mh · 168.0W
|
— | $0.40 | — |
|
—
|
Ubqhash
33.487Mh · 114.0W
|
— | $0.27 | — |
|
—
|
X16R
19.8281Mh · 159.0W
|
— | $0.38 | — |
|
—
|
Blake (2s)
7.6096Gh · 175.0W
|
— | $0.42 | — |
|
—
|
Curvehash
2.0578Mh · 99.0W
|
— | $0.24 | — |
|
—
|
Equihash(125,4)
53.573Hh · 159.0W
|
— | $0.38 | — |
|
—
|
Equihash(144,5)
62Hh · 150.0W
|
— | $0.36 | — |
|
—
|
PHI1612
31.4102Mh · 140.0W
|
— | $0.34 | — |
|
—
|
ProgPowSERO
16.9997Mh · 154.0W
|
— | $0.37 | — |
|
—
|
ProgPowZ
16.7331Mh · 153.0W
|
— | $0.37 | — |
|
—
|
Radiant
752.9697Mh · 150.0W
|
— | $0.36 | — |
|
—
|
X16RT
19.7751Mh · 157.0W
|
— | $0.38 | — |
|
—
|
X21S
13.7849Mh · 150.0W
|
— | $0.36 | — |
|
—
|
X25X
2.4172Mh · 77.0W
|
— | $0.18 | — |
|
—
|
BCD
24.0577Mh · 160.0W
|
— | $0.38 | — |
- Architecture
- Ada Lovelace
- Base Clock
- 2310 MHz
- Boost Clock
- 2540 MHz
- CUDA cores
- 4352
- GPU Power
- 165 W
- Max Memory Size
- 16 GB
- Memory Type
- GDDR6X
- Mining algos
- 10
- Model
- Nvidia RTX 4060Ti
- Power
- 175 W
- Process
- 5 nm
- Release
- May 2023
- Release year
- 2023
- TDP
- 175 W
- Type
- GPU
- Vendor
- Nvidia
| 市场 | 算法 | 利润 /天 | |||
|---|---|---|---|---|---|
|
MRR floor
0% rented · matches cheapest seller
|
Lyra2REv2
0.00000030000 BTC/M/d
|
$1.51
★
$1.82 收入 · $0.31 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
Lyra2REv2
0.00002520563 BTC/M/d
|
$152.52
★
$152.83 收入 · $0.31 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Lyra2REv2
0.00000054154 BTC/M/d
|
$2.97
$3.28 收入 · $0.31 成本
|
|||
| Lyra2z | |||||
|
MRR floor
0% rented · matches cheapest seller
|
Lyra2z
0.00000550000 BTC/M/d
|
$2.30
★
$2.61 收入 · $0.31 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
Lyra2z
0.00000600172 BTC/M/d
|
$2.53
★
$2.84 收入 · $0.31 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Lyra2z
0.00000796172 BTC/M/d
|
$3.46
$3.77 收入 · $0.31 成本
|
|||
| Octopus | |||||
|
NiceHash
seller 24h-weighted avg
|
Octopus
0.00000002969 BTC/M/d
|
$-0.23
$0.08 收入 · $0.31 成本
访问 →
|
|||
|
MRR floor
0% rented · matches cheapest seller
|
Octopus
0.00000011000 BTC/M/d
|
$-0.03
★
$0.28 收入 · $0.31 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
Octopus
0.00000064110 BTC/M/d
|
$1.32
★
$1.63 收入 · $0.31 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Octopus
0.00000015403 BTC/M/d
|
$0.08
$0.39 收入 · $0.31 成本
|
|||
| X16Rv2 | |||||
|
MRR floor
0% rented · matches cheapest seller
|
X16Rv2
0.00000053947 BTC/M/d
|
$0.43
★
$0.74 收入 · $0.31 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
X16Rv2
0.00000063655 BTC/M/d
|
$0.57
★
$0.88 收入 · $0.31 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
X16Rv2
0.00000078590 BTC/M/d
|
$0.77
$1.08 收入 · $0.31 成本
|
|||
| X16R | |||||
|
MRR floor
0% rented · matches cheapest seller
|
X16R
0.00000053947 BTC/M/d
|
$0.50
★
$0.81 收入 · $0.31 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
X16R
0.00000061118 BTC/M/d
|
$0.61
★
$0.92 收入 · $0.31 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
X16R
0.00000056233 BTC/M/d
|
$0.54
$0.85 收入 · $0.31 成本
|
|||
| NeoScrypt | |||||
|
NiceHash
seller 24h-weighted avg
|
NeoScrypt
0.00000062223 BTC/M/d
|
$-0.24
$0.07 收入 · $0.31 成本
访问 →
|
|||
|
MRR floor
2% rented · matches cheapest seller
|
NeoScrypt
0.00000320000 BTC/M/d
|
$0.05
★
$0.36 收入 · $0.31 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
NeoScrypt
0.00000314000 BTC/M/d
|
$0.05
★
$0.36 收入 · $0.31 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
NeoScrypt
0.00000359000 BTC/M/d
|
$0.10
$0.41 收入 · $0.31 成本
|
|||
| Zhash | |||||
|
NiceHash
seller 24h-weighted avg
|
Zhash
0.00000000717 BTC/H/d
|
$-0.28
$0.03 收入 · $0.31 成本
访问 →
|
|||
|
MRR floor
0% rented · matches cheapest seller
|
Zhash
0.00000007080 BTC/H/d
|
$0.03
★
$0.34 收入 · $0.31 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
Zhash
0.00000008185 BTC/H/d
|
$0.08
★
$0.39 收入 · $0.31 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Zhash
0.00000007080 BTC/H/d
|
$0.03
$0.34 收入 · $0.31 成本
|
|||
| FishHash | |||||
|
NiceHash
seller 24h-weighted avg
|
FishHash
0.00000003169 BTC/M/d
|
$-0.26
$0.05 收入 · $0.31 成本
访问 →
|
|||
|
MRR floor
0% rented · matches cheapest seller
|
FishHash
0.00000012000 BTC/M/d
|
$-0.13
★
$0.18 收入 · $0.31 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
FishHash
0.00000015078 BTC/M/d
|
$-0.09
★
$0.22 收入 · $0.31 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
FishHash
0.00000025471 BTC/M/d
|
$0.06
$0.37 收入 · $0.31 成本
|
|||
| NexaPoW | |||||
|
NiceHash
seller 24h-weighted avg
|
NexaPoW
0.00000002179 BTC/M/d
|
$-0.29
$0.02 收入 · $0.31 成本
访问 →
|
|||
|
MRR floor
0% rented · matches cheapest seller
|
NexaPoW
0.00000006296 BTC/M/d
|
$-0.26
★
$0.05 收入 · $0.31 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
NexaPoW
0.00000032850 BTC/M/d
|
$-0.03
★
$0.28 收入 · $0.31 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
NexaPoW
0.00000011682 BTC/M/d
|
$-0.21
$0.10 收入 · $0.31 成本
|
|||
| VerusHash | |||||
|
NiceHash
seller 24h-weighted avg
|
VerusHash
0.00000002286 BTC/M/d
|
$-0.29
$0.02 收入 · $0.31 成本
访问 →
|
|||
|
MRR floor
0% rented · matches cheapest seller
|
VerusHash
0.00000010999 BTC/M/d
|
$-0.22
★
$0.09 收入 · $0.31 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
VerusHash
0.00000023020 BTC/M/d
|
$-0.13
★
$0.18 收入 · $0.31 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
VerusHash
0.00000014372 BTC/M/d
|
$-0.20
$0.11 收入 · $0.31 成本
|
|||
| KAWPOW | |||||
|
NiceHash
seller 24h-weighted avg
|
KAWPOW
0.00000005616 BTC/M/d
|
$-0.24
$0.07 收入 · $0.31 成本
访问 →
|
|||
|
MRR floor
3% rented · matches cheapest seller
|
KAWPOW
0.00000009990 BTC/M/d
|
$-0.18
★
$0.13 收入 · $0.31 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
KAWPOW
0.00000013130 BTC/M/d
|
$-0.14
★
$0.17 收入 · $0.31 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
KAWPOW
0.00000012398 BTC/M/d
|
$-0.15
$0.16 收入 · $0.31 成本
|
|||
| Ethash | |||||
|
NiceHash
seller 24h-weighted avg
|
Ethash
0.00000002000 BTC/M/d
|
$-0.26
★
$0.05 收入 · $0.31 成本
访问 →
|
|||
| Etchash | |||||
|
NiceHash
seller 24h-weighted avg
|
Etchash
0.00000000530 BTC/M/d
|
$-0.30
$0.01 收入 · $0.31 成本
访问 →
|
|||
|
MRR floor
5% rented · matches cheapest seller
|
Etchash
0.00000001320 BTC/M/d
|
$-0.28
★
$0.03 收入 · $0.31 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
Etchash
0.00000001507 BTC/M/d
|
$-0.27
★
$0.04 收入 · $0.31 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Etchash
0.00000001230 BTC/M/d
|
$-0.28
$0.03 收入 · $0.31 成本
|
|||
| Autolykos2 | |||||
|
NiceHash
seller 24h-weighted avg
|
Autolykos2
0.00000000584 BTC/M/d
|
$-0.28
★
$0.03 收入 · $0.31 成本
访问 →
|
|||
| KHeavyHash | |||||
|
NiceHash
seller 24h-weighted avg
|
KHeavyHash
0.00000260887 BTC/T/d
|
$-0.31
$0.00 收入 · $0.31 成本
访问 →
|
|||
|
MRR floor
5% rented · matches cheapest seller
|
KHeavyHash
0.00000280000 BTC/T/d
|
$-0.31
★
$0.00 收入 · $0.31 成本
访问 →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
KHeavyHash
0.00000387000 BTC/T/d
|
$-0.31
★
$0.00 收入 · $0.31 成本
访问 →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
KHeavyHash
0.00000528000 BTC/T/d
|
$-0.31
$0.00 收入 · $0.31 成本
|
|||
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Nvidia RTX 4060Ti 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 | 12.26 kg |
| Nuclear | 13.37 kg |
| Hydroelectric | 26.75 kg |
| Geothermal | 42.35 kg |
| Solar | 50.16 kg |
| Biofuels | 256.35 kg |
| Gas | 546.13 kg |
| Coal | 913.94 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 4060Ti running 24/7 for a year releases about 529 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 4060Ti's annual footprint swings from roughly 914 kg on coal-heavy grids down to about 27 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.