Nvidia RTX 3080TI — 挖矿
Nvidia RTX 3080TI 每天净赚 最高 $1.12,最佳为 AI 出租 $0.08/小时,共 1 个挂单。 也可用于:挖 Octopus 算力 104.8395 Mh/s($0.75/天) and 出售 KAWPOW 算力($0.19/天)。 功耗 332 W — 按 $0.10/kWh 计算,按当前行情有利润。
Nvidia RTX 3080TI 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 | $1.92 | $57.60 |
|
成本
$0.1/kWh
|
$0.80 | $24.00 |
| 利润 | $1.12 | $33.60 |
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 | $1.55 | $46.50 |
|
成本
$0.1/kWh
|
$0.80 | $24.00 |
| 利润 | $0.75 | $22.50 |
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
CFX
⚠
Conflux
|
Octopus
104.8395Mh · 332.0W
|
$1.55 | $0.80 | $0.75 |
|
RVN
Ravencoin
|
KAWPOW
58.123Mh · 327.0W
|
$0.24 | $0.78 | $-0.54 |
|
BEAM
⚠
Beam
|
BeamHashIII
54.5Hh · 331.0W
|
$0.22 | $0.79 | $-0.57 |
ERG
⚠
Ergo
|
Autolykos2
255.178Mh · 210.0W
|
$0.15 | $0.50 | $-0.35 |
|
AE
⚠
Aeternity
|
CuckooCycle
10.34Hh · 227.0W
|
$0.15 | $0.54 | $-0.39 |
|
ETC
Ethereum Classic
|
Etchash
112.78Mh · 278.0W
|
$0.09 | $0.67 | $-0.58 |
NEXA
⚠
Nexa
|
NexaPoW
145.8612Mh · 299.0W
|
$0.08 | $0.72 | $-0.64 |
|
XMR
Monero
|
RandomX
1.7421Kh · 116.0W
|
$0.06 | $0.28 | $-0.22 |
|
MONA
⚠
Monacoin
|
Lyra2REv2
128.5566Mh · 347.0W
|
$0.01 | $0.83 | $-0.82 |
IRON
⚠
Iron Fish
|
IronFish
24.3763Gh · 218.0W
|
$0.01 | $0.52 | $-0.51 |
KAS
Kaspa
|
KHeavyHash
1.1605Gh · 348.0W
|
— | $0.84 | — |
|
—
|
Cuckaroo29b
8.492Hh · 326.0W
|
— | $0.78 | — |
|
—
|
Blake3
2.3314Gh · 196.0W
|
— | $0.47 | — |
|
—
|
TimeTravel10
63.4834Mh · 216.0W
|
— | $0.52 | — |
|
—
|
Xevan
9.5004Mh · 367.0W
|
— | $0.88 | — |
|
—
|
Chukwa
204.8618Kh · 349.0W
|
— | $0.84 | — |
|
—
|
CuckooBFC
13.538Hh · 255.0W
|
— | $0.61 | — |
|
VTC
⚠
Vertcoin
|
Lyra2REv3
123.3691Mh · 398.0W
|
— | $0.96 | — |
|
—
|
EvrProgPow
47.1484Mh · 314.0W
|
— | $0.75 | — |
|
—
|
X17
24.164Mh · 267.0W
|
— | $0.64 | — |
|
—
|
CNReverseWaltz
3.3242Kh · 211.0W
|
— | $0.51 | — |
|
—
|
Cuckaroom29
7.92Hh · 324.0W
|
— | $0.78 | — |
|
—
|
vProgPow
19.8845Mh · 279.0W
|
— | $0.67 | — |
|
—
|
Argon2d4096
92.5561Kh · 278.0W
|
— | $0.67 | — |
|
—
|
X17R
21.9592Mh · 339.0W
|
— | $0.81 | — |
|
—
|
NIST5
87.2578Mh · 349.0W
|
— | $0.84 | — |
|
—
|
ProgPowZ
44.1324Mh · 278.0W
|
— | $0.67 | — |
|
—
|
Keccak
2.0954Gh · 334.0W
|
— | $0.80 | — |
|
—
|
EquihashBTG
136Hh · 281.0W
|
— | $0.67 | — |
|
—
|
X15
20.1738Mh · 313.0W
|
— | $0.75 | — |
|
—
|
Dedal
24.0698Mh · 264.0W
|
— | $0.63 | — |
ACM
⚠
Actinium
|
Lyra2z
10.23Mh · 247.0W
|
— | $0.59 | — |
|
—
|
Cuckaroo29S
8.089Hh · 332.0W
|
— | $0.80 | — |
|
—
|
HeavyHash
647.0387Mh · 273.0W
|
— | $0.66 | — |
|
—
|
X11k
4.7777Mh · 323.0W
|
— | $0.78 | — |
|
—
|
Equihash(96,5)
2.7474Kh · 229.0W
|
— | $0.55 | — |
|
—
|
HoneyComb
524.071Kh · 106.0W
|
— | $0.25 | — |
|
—
|
Skunkhash
67.2021Mh · 257.0W
|
— | $0.62 | — |
|
—
|
Equihash(125,4)
75Hh · 277.0W
|
— | $0.66 | — |
|
—
|
X16S
22.4852Mh · 338.0W
|
— | $0.81 | — |
|
—
|
Equihash(150,5)
67.11Hh · 337.0W
|
— | $0.81 | — |
|
—
|
SonoA
3.4644Mh · 331.0W
|
— | $0.79 | — |
|
—
|
Ubqhash
66.8789Mh · 300.0W
|
— | $0.72 | — |
|
—
|
Blake256R14
5.2887Gh · 120.0W
|
— | $0.29 | — |
|
—
|
Radiant
1.3086Gh · 180.0W
|
— | $0.43 | — |
FIRO
Firo
|
FiroPoW
52.566Mh · 349.0W
|
— | $0.84 | — |
|
—
|
Blake (2s)
10.9895Gh · 343.0W
|
— | $0.82 | — |
|
EPIC
⚠
Epic Cash
|
ProgPow
37.409Mh · 279.0W
|
— | $0.67 | — |
|
—
|
Keccak-C
2.0494Gh · 367.0W
|
— | $0.88 | — |
|
—
|
Astralhash
34.2869Mh · 260.0W
|
— | $0.62 | — |
|
—
|
0x10
31.7969Mh · 329.0W
|
— | $0.79 | — |
|
—
|
BMW512
3.6214Gh · 378.0W
|
— | $0.91 | — |
|
—
|
Argon2d250
1.8603Mh · 279.0W
|
— | $0.67 | — |
|
—
|
Ethash
112.78Mh · 278.0W
|
— | $0.67 | — |
|
LTZ
⚠
Litecoinz
|
Zhash
131Hh · 310.0W
|
— | $0.74 | — |
|
—
|
X16Rv2
13.8517Mh · 239.0W
|
— | $0.57 | — |
|
—
|
Cuckatoo31
1.1Hh · 265.0W
|
— | $0.64 | — |
|
—
|
Hex
22.2566Mh · 259.0W
|
— | $0.62 | — |
|
—
|
X21S
17.6039Mh · 257.0W
|
— | $0.62 | — |
|
—
|
Equihash210_9
455.93Hh · 392.0W
|
— | $0.94 | — |
|
—
|
Cortex
0.1Hh · 199.0W
|
— | $0.48 | — |
|
—
|
PHI1612
60.8126Mh · 334.0W
|
— | $0.80 | — |
|
—
|
Skein2
970.2747Mh · 330.0W
|
— | $0.79 | — |
|
—
|
Darkcoin
4.914Gh · 320.0W
|
— | $0.77 | — |
|
—
|
X22i
524.179Kh · 110.0W
|
— | $0.26 | — |
|
FTC
⚠
Feathercoin
|
NeoScrypt
2.5605Mh · 331.0W
|
— | $0.79 | — |
|
—
|
Pawelhash
16.1124Mh · 338.0W
|
— | $0.81 | — |
|
—
|
Lyra2vc0ban
111.9414Mh · 345.0W
|
— | $0.83 | — |
|
—
|
SHA-256csm
430.3363Mh · 136.0W
|
— | $0.33 | — |
|
—
|
Chukwa2
72.9649Kh · 349.0W
|
— | $0.84 | — |
|
GRIN
⚠
Grin
|
Cuckatoo32
0.0126Hh · 173.0W
|
— | $0.42 | — |
|
—
|
BeamHashII
36.164Hh · 271.0W
|
— | $0.65 | — |
|
—
|
Blake2B
3.1765Gh · 172.0W
|
— | $0.41 | — |
|
—
|
Equihash192_7
68.286Hh · 262.0W
|
— | $0.63 | — |
|
—
|
Padihash
262.048Kh · 40.0W
|
— | $0.10 | — |
|
—
|
X16RT
24.3489Mh · 268.0W
|
— | $0.64 | — |
|
—
|
Globalhash
86.6092Mh · 323.0W
|
— | $0.78 | — |
|
—
|
Tribus
176.871Mh · 313.0W
|
— | $0.75 | — |
|
—
|
SHA256DT
3.7837Gh · 314.0W
|
— | $0.75 | — |
|
—
|
HMQ1725
13.8163Mh · 364.0W
|
— | $0.87 | — |
|
—
|
X16RTVEIL
22.912Mh · 340.0W
|
— | $0.82 | — |
|
—
|
Curvehash
7.4027Mh · 236.0W
|
— | $0.57 | — |
|
—
|
GhostRider
2.22Kh · 166.0W
|
— | $0.40 | — |
|
—
|
X16R
29.8856Mh · 278.0W
|
— | $0.67 | — |
|
—
|
KarlsenHashV2
1.8309Gh · 171.0W
|
— | $0.41 | — |
|
—
|
Sha3d
1.0327Gh · 175.0W
|
— | $0.42 | — |
|
—
|
DynexSolve
8.494Kh · 204.0W
|
— | $0.49 | — |
|
—
|
RandomKEVA
1.7585Kh · 211.0W
|
— | $0.51 | — |
|
—
|
PyrinHash
7.5057Gh · 175.0W
|
— | $0.42 | — |
|
—
|
C11
33.4951Mh · 254.0W
|
— | $0.61 | — |
|
—
|
Cuckarood29
3.16Hh · 280.0W
|
— | $0.67 | — |
|
—
|
EquihashSAFE
139Hh · 313.0W
|
— | $0.75 | — |
|
—
|
ProgPowSERO
44.5391Mh · 279.0W
|
— | $0.67 | — |
|
—
|
Equihash(144,5)
124.05Hh · 346.0W
|
— | $0.83 | — |
|
—
|
EquihashBTCZ
137Hh · 332.0W
|
— | $0.80 | — |
|
—
|
X18
262.049Kh · 120.0W
|
— | $0.29 | — |
|
—
|
BCD
28.578Mh · 294.0W
|
— | $0.71 | — |
|
—
|
Jeonghash
20.0793Mh · 308.0W
|
— | $0.74 | — |
|
—
|
RandomSFX
1.7528Kh · 208.0W
|
— | $0.50 | — |
| 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 → |
| 平台 | GPU | 收入 | 成本 | 利润 |
|---|---|---|---|---|
Tensordock
GPU 市场
|
RTX 3080TI
$0.100/h ·
1 个报价
|
$1.92
|
$0.80 |
$1.12
★
访问 →
|
收入流 Nvidia RTX 3080TI 在 AI GPU 出租市场上的收益路径 how we got $1.12/day · ▾
Nvidia RTX 3080TI 出租给 AI 任务每日可赚 $1.12,明显超过挖 Octopus 的 $0.75/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 | $1.92 | $57.60 |
|
成本
$0.1/kWh
|
$0.80 | $24.00 |
| 利润 | $1.12 | $33.60 |
净算力市场收入历史
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $0.61 | $18.35 |
|
成本
$0.1/kWh
|
$0.80 | $24.00 |
| 利润 | $-0.19 | $-5.66 |
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Nvidia RTX 3080TI 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 | 31.55 kg |
| Nuclear | 34.42 kg |
| Hydroelectric | 68.84 kg |
| Geothermal | 109.0 kg |
| Solar | 129.08 kg |
| Biofuels | 659.75 kg |
| Gas | 1,405.56 kg |
| Coal | 2,352.15 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 3080TI running 24/7 for a year releases about 1,363 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 3080TI's annual footprint swings from roughly 2,352 kg on coal-heavy grids down to about 69 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 | $1.92 | $57.60 |
|
成本
$0.1/kWh
|
$0.80 | $24.00 |
| 利润 | $1.12 | $33.60 |
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 | $1.55 | $46.50 |
|
成本
$0.1/kWh
|
$0.80 | $24.00 |
| 利润 | $0.75 | $22.50 |
| Coin | Algorithm | 收入 | 成本 | 利润 |
|---|---|---|---|---|
CFX
⚠
Conflux
|
Octopus
104.8395Mh · 332.0W
|
$1.55 | $0.80 | $0.75 |
|
RVN
Ravencoin
|
KAWPOW
58.123Mh · 327.0W
|
$0.24 | $0.78 | $-0.54 |
|
BEAM
⚠
Beam
|
BeamHashIII
54.5Hh · 331.0W
|
$0.22 | $0.79 | $-0.57 |
ERG
⚠
Ergo
|
Autolykos2
255.178Mh · 210.0W
|
$0.15 | $0.50 | $-0.35 |
|
AE
⚠
Aeternity
|
CuckooCycle
10.34Hh · 227.0W
|
$0.15 | $0.54 | $-0.39 |
|
ETC
Ethereum Classic
|
Etchash
112.78Mh · 278.0W
|
$0.09 | $0.67 | $-0.58 |
NEXA
⚠
Nexa
|
NexaPoW
145.8612Mh · 299.0W
|
$0.08 | $0.72 | $-0.64 |
|
XMR
Monero
|
RandomX
1.7421Kh · 116.0W
|
$0.06 | $0.28 | $-0.22 |
|
MONA
⚠
Monacoin
|
Lyra2REv2
128.5566Mh · 347.0W
|
$0.01 | $0.83 | $-0.82 |
IRON
⚠
Iron Fish
|
IronFish
24.3763Gh · 218.0W
|
$0.01 | $0.52 | $-0.51 |
KAS
Kaspa
|
KHeavyHash
1.1605Gh · 348.0W
|
— | $0.84 | — |
|
—
|
Cuckaroo29b
8.492Hh · 326.0W
|
— | $0.78 | — |
|
—
|
Blake3
2.3314Gh · 196.0W
|
— | $0.47 | — |
|
—
|
TimeTravel10
63.4834Mh · 216.0W
|
— | $0.52 | — |
|
—
|
Xevan
9.5004Mh · 367.0W
|
— | $0.88 | — |
|
—
|
Chukwa
204.8618Kh · 349.0W
|
— | $0.84 | — |
|
—
|
CuckooBFC
13.538Hh · 255.0W
|
— | $0.61 | — |
|
VTC
⚠
Vertcoin
|
Lyra2REv3
123.3691Mh · 398.0W
|
— | $0.96 | — |
|
—
|
EvrProgPow
47.1484Mh · 314.0W
|
— | $0.75 | — |
|
—
|
X17
24.164Mh · 267.0W
|
— | $0.64 | — |
|
—
|
CNReverseWaltz
3.3242Kh · 211.0W
|
— | $0.51 | — |
|
—
|
Cuckaroom29
7.92Hh · 324.0W
|
— | $0.78 | — |
|
—
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vProgPow
19.8845Mh · 279.0W
|
— | $0.67 | — |
|
—
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Argon2d4096
92.5561Kh · 278.0W
|
— | $0.67 | — |
|
—
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X17R
21.9592Mh · 339.0W
|
— | $0.81 | — |
|
—
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NIST5
87.2578Mh · 349.0W
|
— | $0.84 | — |
|
—
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ProgPowZ
44.1324Mh · 278.0W
|
— | $0.67 | — |
|
—
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Keccak
2.0954Gh · 334.0W
|
— | $0.80 | — |
|
—
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EquihashBTG
136Hh · 281.0W
|
— | $0.67 | — |
|
—
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X15
20.1738Mh · 313.0W
|
— | $0.75 | — |
|
—
|
Dedal
24.0698Mh · 264.0W
|
— | $0.63 | — |
ACM
⚠
Actinium
|
Lyra2z
10.23Mh · 247.0W
|
— | $0.59 | — |
|
—
|
Cuckaroo29S
8.089Hh · 332.0W
|
— | $0.80 | — |
|
—
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HeavyHash
647.0387Mh · 273.0W
|
— | $0.66 | — |
|
—
|
X11k
4.7777Mh · 323.0W
|
— | $0.78 | — |
|
—
|
Equihash(96,5)
2.7474Kh · 229.0W
|
— | $0.55 | — |
|
—
|
HoneyComb
524.071Kh · 106.0W
|
— | $0.25 | — |
|
—
|
Skunkhash
67.2021Mh · 257.0W
|
— | $0.62 | — |
|
—
|
Equihash(125,4)
75Hh · 277.0W
|
— | $0.66 | — |
|
—
|
X16S
22.4852Mh · 338.0W
|
— | $0.81 | — |
|
—
|
Equihash(150,5)
67.11Hh · 337.0W
|
— | $0.81 | — |
|
—
|
SonoA
3.4644Mh · 331.0W
|
— | $0.79 | — |
|
—
|
Ubqhash
66.8789Mh · 300.0W
|
— | $0.72 | — |
|
—
|
Blake256R14
5.2887Gh · 120.0W
|
— | $0.29 | — |
|
—
|
Radiant
1.3086Gh · 180.0W
|
— | $0.43 | — |
FIRO
Firo
|
FiroPoW
52.566Mh · 349.0W
|
— | $0.84 | — |
|
—
|
Blake (2s)
10.9895Gh · 343.0W
|
— | $0.82 | — |
|
EPIC
⚠
Epic Cash
|
ProgPow
37.409Mh · 279.0W
|
— | $0.67 | — |
|
—
|
Keccak-C
2.0494Gh · 367.0W
|
— | $0.88 | — |
|
—
|
Astralhash
34.2869Mh · 260.0W
|
— | $0.62 | — |
|
—
|
0x10
31.7969Mh · 329.0W
|
— | $0.79 | — |
|
—
|
BMW512
3.6214Gh · 378.0W
|
— | $0.91 | — |
|
—
|
Argon2d250
1.8603Mh · 279.0W
|
— | $0.67 | — |
|
—
|
Ethash
112.78Mh · 278.0W
|
— | $0.67 | — |
|
LTZ
⚠
Litecoinz
|
Zhash
131Hh · 310.0W
|
— | $0.74 | — |
|
—
|
X16Rv2
13.8517Mh · 239.0W
|
— | $0.57 | — |
|
—
|
Cuckatoo31
1.1Hh · 265.0W
|
— | $0.64 | — |
|
—
|
Hex
22.2566Mh · 259.0W
|
— | $0.62 | — |
|
—
|
X21S
17.6039Mh · 257.0W
|
— | $0.62 | — |
|
—
|
Equihash210_9
455.93Hh · 392.0W
|
— | $0.94 | — |
|
—
|
Cortex
0.1Hh · 199.0W
|
— | $0.48 | — |
|
—
|
PHI1612
60.8126Mh · 334.0W
|
— | $0.80 | — |
|
—
|
Skein2
970.2747Mh · 330.0W
|
— | $0.79 | — |
|
—
|
Darkcoin
4.914Gh · 320.0W
|
— | $0.77 | — |
|
—
|
X22i
524.179Kh · 110.0W
|
— | $0.26 | — |
|
FTC
⚠
Feathercoin
|
NeoScrypt
2.5605Mh · 331.0W
|
— | $0.79 | — |
|
—
|
Pawelhash
16.1124Mh · 338.0W
|
— | $0.81 | — |
|
—
|
Lyra2vc0ban
111.9414Mh · 345.0W
|
— | $0.83 | — |
|
—
|
SHA-256csm
430.3363Mh · 136.0W
|
— | $0.33 | — |
|
—
|
Chukwa2
72.9649Kh · 349.0W
|
— | $0.84 | — |
|
GRIN
⚠
Grin
|
Cuckatoo32
0.0126Hh · 173.0W
|
— | $0.42 | — |
|
—
|
BeamHashII
36.164Hh · 271.0W
|
— | $0.65 | — |
|
—
|
Blake2B
3.1765Gh · 172.0W
|
— | $0.41 | — |
|
—
|
Equihash192_7
68.286Hh · 262.0W
|
— | $0.63 | — |
|
—
|
Padihash
262.048Kh · 40.0W
|
— | $0.10 | — |
|
—
|
X16RT
24.3489Mh · 268.0W
|
— | $0.64 | — |
|
—
|
Globalhash
86.6092Mh · 323.0W
|
— | $0.78 | — |
|
—
|
Tribus
176.871Mh · 313.0W
|
— | $0.75 | — |
|
—
|
SHA256DT
3.7837Gh · 314.0W
|
— | $0.75 | — |
|
—
|
HMQ1725
13.8163Mh · 364.0W
|
— | $0.87 | — |
|
—
|
X16RTVEIL
22.912Mh · 340.0W
|
— | $0.82 | — |
|
—
|
Curvehash
7.4027Mh · 236.0W
|
— | $0.57 | — |
|
—
|
GhostRider
2.22Kh · 166.0W
|
— | $0.40 | — |
|
—
|
X16R
29.8856Mh · 278.0W
|
— | $0.67 | — |
|
—
|
KarlsenHashV2
1.8309Gh · 171.0W
|
— | $0.41 | — |
|
—
|
Sha3d
1.0327Gh · 175.0W
|
— | $0.42 | — |
|
—
|
DynexSolve
8.494Kh · 204.0W
|
— | $0.49 | — |
|
—
|
RandomKEVA
1.7585Kh · 211.0W
|
— | $0.51 | — |
|
—
|
PyrinHash
7.5057Gh · 175.0W
|
— | $0.42 | — |
|
—
|
C11
33.4951Mh · 254.0W
|
— | $0.61 | — |
|
—
|
Cuckarood29
3.16Hh · 280.0W
|
— | $0.67 | — |
|
—
|
EquihashSAFE
139Hh · 313.0W
|
— | $0.75 | — |
|
—
|
ProgPowSERO
44.5391Mh · 279.0W
|
— | $0.67 | — |
|
—
|
Equihash(144,5)
124.05Hh · 346.0W
|
— | $0.83 | — |
|
—
|
EquihashBTCZ
137Hh · 332.0W
|
— | $0.80 | — |
|
—
|
X18
262.049Kh · 120.0W
|
— | $0.29 | — |
|
—
|
BCD
28.578Mh · 294.0W
|
— | $0.71 | — |
|
—
|
Jeonghash
20.0793Mh · 308.0W
|
— | $0.74 | — |
|
—
|
RandomSFX
1.7528Kh · 208.0W
|
— | $0.50 | — |
| 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 → |
| 平台 | GPU | 收入 | 成本 | 利润 |
|---|---|---|---|---|
Tensordock
GPU 市场
|
RTX 3080TI
$0.100/h ·
1 个报价
|
$1.92
|
$0.80 |
$1.12
★
访问 →
|
收入流 Nvidia RTX 3080TI 在 AI GPU 出租市场上的收益路径 how we got $1.12/day · ▾
Nvidia RTX 3080TI 出租给 AI 任务每日可赚 $1.12,明显超过挖 Octopus 的 $0.75/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 | $1.92 | $57.60 |
|
成本
$0.1/kWh
|
$0.80 | $24.00 |
| 利润 | $1.12 | $33.60 |
净算力市场收入历史
| 周期 | /日 | /月 |
|---|---|---|
| 收入 | $0.61 | $18.35 |
|
成本
$0.1/kWh
|
$0.80 | $24.00 |
| 利润 | $-0.19 | $-5.66 |
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Nvidia RTX 3080TI 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 | 31.55 kg |
| Nuclear | 34.42 kg |
| Hydroelectric | 68.84 kg |
| Geothermal | 109.0 kg |
| Solar | 129.08 kg |
| Biofuels | 659.75 kg |
| Gas | 1,405.56 kg |
| Coal | 2,352.15 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 3080TI running 24/7 for a year releases about 1,363 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 3080TI's annual footprint swings from roughly 2,352 kg on coal-heavy grids down to about 69 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.