Nvidia GeForce GTX 1650 Super — Minería
Nvidia GeForce GTX 1650 Super pierde $0.14 al día minando KAWPOW a 10.842 Mh/s y consumiendo 75.0 W de la red. Eso es tras descontar la electricidad a $0.1/kWh — sin llegar a cubrir costos a los precios actuales.
Nvidia GeForce GTX 1650 Super mina KAWPOW con la mayor eficiencia. Esta página incluye la tabla completa de algoritmos, opciones de minería fusionada, pools recomendados y un gráfico de historial de pagos que puedes cambiar haciendo clic en cualquier fila.
Esta GPU tiene ? GB de VRAM — la mayoría de los mercados de IA requieren al menos 12 GB.
Proyección diaria
Ganadores diarios entre todos los streams — promediados del historial registrado del rig a $0.1/kWh
| Período | /Día | /Mes |
|---|---|---|
| Ingresos | $0.11 | $3.42 |
|
Costo
$0.1/kWh
|
$0.18 | $5.40 |
| Ganancia | $-0.07 | $-1.98 |
Historial de pagos por algoritmo ▶ KAWPOW
Beneficio neto $/día si minas este algoritmo continuamente a $0.1/kWh. Haz clic en cualquier algoritmo arriba para cambiar.
Proyección diaria
| Período | /Día | /Mes |
|---|---|---|
| Ingresos | $0.04 | $1.20 |
|
Costo
$0.1/kWh
|
$0.18 | $5.40 |
| Ganancia | $-0.14 | $-4.20 |
| Coin | Algorithm | Ingresos | Costo | Ganancia |
|---|---|---|---|---|
|
RVN
Ravencoin
|
KAWPOW
10.842Mh · 75.0W
|
$0.04 | $0.18 | $-0.14 |
|
BEAM
⚠
Beam
|
BeamHashIII
7Hh · 43.0W
|
$0.03 | $0.10 | $-0.07 |
|
AE
⚠
Aeternity
|
CuckooCycle
2Hh · 74.0W
|
$0.03 | $0.18 | $-0.15 |
ERG
⚠
Ergo
|
Autolykos2
32.634639Mh · 68.0W
|
$0.02 | $0.16 | $-0.14 |
|
ETC
Ethereum Classic
|
Etchash
17.044Mh · 71.0W
|
$0.01 | $0.17 | $-0.16 |
|
XMR
Monero
|
RandomX
364Hh · 100.0W
|
$0.01 | $0.24 | $-0.23 |
NEXA
⚠
Nexa
|
NexaPoW
8.7688Mh · 89.0W
|
$0.01 | $0.21 | $-0.20 |
|
MONA
⚠
Monacoin
|
Lyra2REv2
34.664Mh · 92.0W
|
— | $0.22 | — |
KAS
Kaspa
|
KHeavyHash
276.2771Mh · 99.0W
|
— | $0.24 | — |
|
—
|
Equihash(192,7)
12Hh · 88.0W
|
— | $0.21 | — |
|
—
|
Blake2B
1.504136294Gh · 105.0W
|
— | $0.25 | — |
|
—
|
X16RTVEIL
5.103346Mh · 69.0W
|
— | $0.17 | — |
|
VRSC
⚠
Verus
|
VerusHash
2.5197Mh · 82.0W
|
— | $0.20 | — |
|
—
|
BeamHashII
11Hh · 99.0W
|
— | $0.24 | — |
|
—
|
EquihashSAFE
22Hh · 79.0W
|
— | $0.19 | — |
|
VTC
⚠
Vertcoin
|
Lyra2REv3
31.78458Mh · 100.0W
|
— | $0.24 | — |
|
—
|
SonoA
785.042Kh · 76.0W
|
— | $0.18 | — |
|
—
|
Cuckatoo31
0Hh · 93.0W
|
— | $0.22 | — |
|
—
|
X16Rv2
16.25655Mh · 102.0W
|
— | $0.24 | — |
|
—
|
X16R
6.24751Mh · 78.0W
|
— | $0.19 | — |
|
—
|
Curvehash
1.966045Mh · 80.0W
|
— | $0.19 | — |
|
—
|
X21S
3.719508Mh · 66.0W
|
— | $0.16 | — |
|
—
|
Globalhash
16.653843Mh · 64.0W
|
— | $0.15 | — |
|
—
|
Equihash+Scrypt
15.458Kh · 87.0W
|
— | $0.21 | — |
|
—
|
PHI1612
8.825089Mh · 87.0W
|
— | $0.21 | — |
FIRO
Firo
|
FiroPoW
9.9046Mh · 96.0W
|
— | $0.23 | — |
|
—
|
ProgPowZ
9.621692Mh · 61.0W
|
— | $0.15 | — |
|
—
|
BMW512
978.263609Mh · 95.0W
|
— | $0.23 | — |
CKB
Nervos
|
Eaglesong
529.088Mh · 97.0W
|
— | $0.23 | — |
|
—
|
Ethash
16.639Mh · 72.0W
|
— | $0.17 | — |
|
—
|
Allium
4.690082Mh · 85.0W
|
— | $0.20 | — |
|
—
|
Skunkhash
12.651029Mh · 72.0W
|
— | $0.17 | — |
|
—
|
Keccak-C
541.84359Mh · 98.0W
|
— | $0.24 | — |
|
—
|
Skein2
343.750521Mh · 99.0W
|
— | $0.24 | — |
|
—
|
Keccak
549.12069Mh · 80.0W
|
— | $0.19 | — |
|
—
|
Tribus
29.342812Mh · 80.0W
|
— | $0.19 | — |
|
—
|
Pawelhash
3.174186Mh · 87.0W
|
— | $0.21 | — |
|
—
|
Blake (2s)
2.91738172Gh · 84.0W
|
— | $0.20 | — |
|
—
|
EvrProgPow
10.842Th · 100.0W
|
— | $0.24 | — |
|
—
|
X16S
12.50495Mh · 52.0W
|
— | $0.12 | — |
|
—
|
X15
5.54568Mh · 86.0W
|
— | $0.21 | — |
|
—
|
HoneyComb
33.779861Mh · 86.0W
|
— | $0.21 | — |
|
—
|
Chukwa
43.03Kh · 57.0W
|
— | $0.14 | — |
|
—
|
ProgPowSERO
9.935Mh · 63.0W
|
— | $0.15 | — |
|
—
|
SHA-256csm
950.12598Mh · 90.0W
|
— | $0.22 | — |
|
—
|
GhostRider
432Hh · 53.0W
|
— | $0.13 | — |
|
—
|
Equihash(125,4)
13Hh · 75.0W
|
— | $0.18 | — |
|
—
|
CryptoNightHaven
440Hh · 55.0W
|
— | $0.13 | — |
|
—
|
CryptoNightConceal
664Hh · 56.0W
|
— | $0.13 | — |
|
—
|
CNReverseWaltz
470Hh · 81.0W
|
— | $0.19 | — |
|
—
|
X11k
967.433Kh · 66.0W
|
— | $0.16 | — |
|
—
|
CryptoNightLiteV7
699Hh · 57.0W
|
— | $0.14 | — |
|
—
|
Astralhash
7.377011Mh · 79.0W
|
— | $0.19 | — |
|
—
|
Blake (2s-Kadena)
646.229Mh · 108.0W
|
— | $0.26 | — |
|
—
|
X17
5.018753Mh · 72.0W
|
— | $0.17 | — |
|
—
|
NIST5
20.20426Mh · 97.0W
|
— | $0.23 | — |
|
EPIC
⚠
Epic Cash
|
ProgPow
4.667Mh · 85.0W
|
— | $0.20 | — |
|
—
|
vProgPow
5.156728Mh · 95.0W
|
— | $0.23 | — |
|
—
|
Mike
415Mh · 59.0W
|
— | $0.14 | — |
|
—
|
SHA256DT
994.4671Mh · 79.0W
|
— | $0.19 | — |
|
—
|
Jeonghash
4.681771Mh · 77.0W
|
— | $0.18 | — |
|
—
|
CryptoNightR
345Hh · 64.0W
|
— | $0.15 | — |
|
—
|
Ubqhash
1.275988Mh · 45.0W
|
— | $0.11 | — |
|
GRIN
⚠
Grin
|
Cuckatoo32
0Hh · 90.0W
|
— | $0.22 | — |
|
—
|
Argon2d4096
19.134Kh · 56.0W
|
— | $0.13 | — |
|
—
|
Argon2d250
424.272Kh · 100.0W
|
— | $0.24 | — |
|
—
|
CryptoNightGPU
1.03Kh · 83.0W
|
— | $0.20 | — |
|
—
|
Argon2d-dyn
98.09Kh · 95.0W
|
— | $0.23 | — |
|
—
|
Padihash
524.091Kh · 42.0W
|
— | $0.10 | — |
|
—
|
C11
17.48042Mh · 65.0W
|
— | $0.16 | — |
|
—
|
X18
262.042Kh · 100.0W
|
— | $0.24 | — |
ACM
⚠
Actinium
|
Lyra2z
1.29464Mh · 50.0W
|
— | $0.12 | — |
|
—
|
EquihashBTCZ
21Hh · 87.0W
|
— | $0.21 | — |
|
—
|
EquihashBTG
21Hh · 79.0W
|
— | $0.19 | — |
|
—
|
Equihash(210,9)
108Hh · 94.0W
|
— | $0.23 | — |
|
—
|
CryptoNightFast
664Hh · 58.0W
|
— | $0.14 | — |
|
—
|
CryptoNightHeavy
430Hh · 57.0W
|
— | $0.14 | — |
|
—
|
Equihash(144,5)
21Hh · 88.0W
|
— | $0.21 | — |
|
—
|
Equihash(96,5)
4.969Kh · 66.0W
|
— | $0.16 | — |
|
—
|
Chukwa2
15.176Kh · 57.0W
|
— | $0.14 | — |
|
—
|
Blake256R14-dcr
2.06349916Gh · 104.0W
|
— | $0.25 | — |
|
—
|
BCD
15.46743Mh · 91.0W
|
— | $0.22 | — |
|
—
|
X22i
9.236471Mh · 101.0W
|
— | $0.24 | — |
|
—
|
X25X
2.821534Mh · 93.0W
|
— | $0.22 | — |
|
—
|
Xevan
2.89039Mh · 60.0W
|
— | $0.14 | — |
|
—
|
X17R
5.053566Mh · 75.0W
|
— | $0.18 | — |
|
—
|
Hex
9.63457Mh · 46.0W
|
— | $0.11 | — |
|
—
|
TimeTravel10
21.00292Mh · 94.0W
|
— | $0.23 | — |
|
—
|
Dedal
5.047572Mh · 76.0W
|
— | $0.18 | — |
|
—
|
PHI2
4.408012Mh · 88.0W
|
— | $0.21 | — |
|
—
|
HMQ1725
2.753824Mh · 67.0W
|
— | $0.16 | — |
|
—
|
0x10
6.750428Mh · 71.0W
|
— | $0.17 | — |
|
FTC
⚠
Feathercoin
|
NeoScrypt
712.92Kh · 100.0W
|
— | $0.24 | — |
|
—
|
X16RT
5.123929Mh · 83.0W
|
— | $0.20 | — |
|
—
|
HeavyHash
235.688973Mh · 101.0W
|
— | $0.24 | — |
|
—
|
Lyra2vc0ban
37.525241Mh · 97.0W
|
— | $0.23 | — |
|
—
|
Radiant
315.519712Mh · 91.0W
|
— | $0.22 | — |
|
LTZ
⚠
Litecoinz
|
Zhash
21Hh · 87.0W
|
— | $0.21 | — |
| Pool | Algoritmos soportados | Comisión | |
|---|---|---|---|
|
|
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) · NexaPoW (NEXA) · RandomX (XMR) | 1.0% | Visit → |
SupportXMR
|
RandomX (XMR) | 0.6% | Visit → |
Historial de ingresos netos por hashmarket
| Período | /Día | /Mes |
|---|---|---|
| Ingresos | $0.11 | $3.42 |
|
Costo
$0.1/kWh
|
$0.18 | $5.40 |
| Ganancia | $-0.07 | $-1.98 |
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Periodo de recuperación para Nvidia GeForce GTX 1650 Super
Modela la recuperación de la inversión, el coste eléctrico y la rentabilidad del primer año para este equipo.
Hardware recuperado cuando la línea cruza cero. Después, todo ganancia.
| Month | Earned (mo) | Cost burned (mo) | Cumulative earned | Cumulative cost | Net | % ROI |
|---|
Emisiones anuales por fuente
Basado en el consumo eléctrico anual y la intensidad de carbono de redes comunes.
| Fuente de energía | CO₂e / año |
|---|---|
| Wind | 7.13 kg |
| Nuclear | 7.78 kg |
| Hydroelectric | 15.55 kg |
| Geothermal | 24.62 kg |
| Solar | 29.16 kg |
| Biofuels | 149.04 kg |
| Gas | 317.52 kg |
| Coal | 531.36 kg |
Solo estimaciones — las emisiones reales varían.
¿Qué significa eso realmente?
At the world-average grid intensity of about 475 g CO₂e/kWh, Nvidia GeForce GTX 1650 Super running 24/7 for a year releases about 308 kg of carbon dioxide equivalent. Here's what that looks like in everyday terms:
Dónde lo enchufas importa
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 1650 Super's annual footprint swings from roughly 531 kg on coal-heavy grids down to about 16 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.
Cómo reducir la huella de este equipo
- 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).
Preguntas frecuentes
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.
Esta GPU tiene ? GB de VRAM — la mayoría de los mercados de IA requieren al menos 12 GB.
Proyección diaria
Ganadores diarios entre todos los streams — promediados del historial registrado del rig a $0.1/kWh
| Período | /Día | /Mes |
|---|---|---|
| Ingresos | $0.11 | $3.42 |
|
Costo
$0.1/kWh
|
$0.18 | $5.40 |
| Ganancia | $-0.07 | $-1.98 |
Historial de pagos por algoritmo ▶ KAWPOW
Beneficio neto $/día si minas este algoritmo continuamente a $0.1/kWh. Haz clic en cualquier algoritmo arriba para cambiar.
Proyección diaria
| Período | /Día | /Mes |
|---|---|---|
| Ingresos | $0.04 | $1.20 |
|
Costo
$0.1/kWh
|
$0.18 | $5.40 |
| Ganancia | $-0.14 | $-4.20 |
| Coin | Algorithm | Ingresos | Costo | Ganancia |
|---|---|---|---|---|
|
RVN
Ravencoin
|
KAWPOW
10.842Mh · 75.0W
|
$0.04 | $0.18 | $-0.14 |
|
BEAM
⚠
Beam
|
BeamHashIII
7Hh · 43.0W
|
$0.03 | $0.10 | $-0.07 |
|
AE
⚠
Aeternity
|
CuckooCycle
2Hh · 74.0W
|
$0.03 | $0.18 | $-0.15 |
ERG
⚠
Ergo
|
Autolykos2
32.634639Mh · 68.0W
|
$0.02 | $0.16 | $-0.14 |
|
ETC
Ethereum Classic
|
Etchash
17.044Mh · 71.0W
|
$0.01 | $0.17 | $-0.16 |
|
XMR
Monero
|
RandomX
364Hh · 100.0W
|
$0.01 | $0.24 | $-0.23 |
NEXA
⚠
Nexa
|
NexaPoW
8.7688Mh · 89.0W
|
$0.01 | $0.21 | $-0.20 |
|
MONA
⚠
Monacoin
|
Lyra2REv2
34.664Mh · 92.0W
|
— | $0.22 | — |
KAS
Kaspa
|
KHeavyHash
276.2771Mh · 99.0W
|
— | $0.24 | — |
|
—
|
Equihash(192,7)
12Hh · 88.0W
|
— | $0.21 | — |
|
—
|
Blake2B
1.504136294Gh · 105.0W
|
— | $0.25 | — |
|
—
|
X16RTVEIL
5.103346Mh · 69.0W
|
— | $0.17 | — |
|
VRSC
⚠
Verus
|
VerusHash
2.5197Mh · 82.0W
|
— | $0.20 | — |
|
—
|
BeamHashII
11Hh · 99.0W
|
— | $0.24 | — |
|
—
|
EquihashSAFE
22Hh · 79.0W
|
— | $0.19 | — |
|
VTC
⚠
Vertcoin
|
Lyra2REv3
31.78458Mh · 100.0W
|
— | $0.24 | — |
|
—
|
SonoA
785.042Kh · 76.0W
|
— | $0.18 | — |
|
—
|
Cuckatoo31
0Hh · 93.0W
|
— | $0.22 | — |
|
—
|
X16Rv2
16.25655Mh · 102.0W
|
— | $0.24 | — |
|
—
|
X16R
6.24751Mh · 78.0W
|
— | $0.19 | — |
|
—
|
Curvehash
1.966045Mh · 80.0W
|
— | $0.19 | — |
|
—
|
X21S
3.719508Mh · 66.0W
|
— | $0.16 | — |
|
—
|
Globalhash
16.653843Mh · 64.0W
|
— | $0.15 | — |
|
—
|
Equihash+Scrypt
15.458Kh · 87.0W
|
— | $0.21 | — |
|
—
|
PHI1612
8.825089Mh · 87.0W
|
— | $0.21 | — |
FIRO
Firo
|
FiroPoW
9.9046Mh · 96.0W
|
— | $0.23 | — |
|
—
|
ProgPowZ
9.621692Mh · 61.0W
|
— | $0.15 | — |
|
—
|
BMW512
978.263609Mh · 95.0W
|
— | $0.23 | — |
CKB
Nervos
|
Eaglesong
529.088Mh · 97.0W
|
— | $0.23 | — |
|
—
|
Ethash
16.639Mh · 72.0W
|
— | $0.17 | — |
|
—
|
Allium
4.690082Mh · 85.0W
|
— | $0.20 | — |
|
—
|
Skunkhash
12.651029Mh · 72.0W
|
— | $0.17 | — |
|
—
|
Keccak-C
541.84359Mh · 98.0W
|
— | $0.24 | — |
|
—
|
Skein2
343.750521Mh · 99.0W
|
— | $0.24 | — |
|
—
|
Keccak
549.12069Mh · 80.0W
|
— | $0.19 | — |
|
—
|
Tribus
29.342812Mh · 80.0W
|
— | $0.19 | — |
|
—
|
Pawelhash
3.174186Mh · 87.0W
|
— | $0.21 | — |
|
—
|
Blake (2s)
2.91738172Gh · 84.0W
|
— | $0.20 | — |
|
—
|
EvrProgPow
10.842Th · 100.0W
|
— | $0.24 | — |
|
—
|
X16S
12.50495Mh · 52.0W
|
— | $0.12 | — |
|
—
|
X15
5.54568Mh · 86.0W
|
— | $0.21 | — |
|
—
|
HoneyComb
33.779861Mh · 86.0W
|
— | $0.21 | — |
|
—
|
Chukwa
43.03Kh · 57.0W
|
— | $0.14 | — |
|
—
|
ProgPowSERO
9.935Mh · 63.0W
|
— | $0.15 | — |
|
—
|
SHA-256csm
950.12598Mh · 90.0W
|
— | $0.22 | — |
|
—
|
GhostRider
432Hh · 53.0W
|
— | $0.13 | — |
|
—
|
Equihash(125,4)
13Hh · 75.0W
|
— | $0.18 | — |
|
—
|
CryptoNightHaven
440Hh · 55.0W
|
— | $0.13 | — |
|
—
|
CryptoNightConceal
664Hh · 56.0W
|
— | $0.13 | — |
|
—
|
CNReverseWaltz
470Hh · 81.0W
|
— | $0.19 | — |
|
—
|
X11k
967.433Kh · 66.0W
|
— | $0.16 | — |
|
—
|
CryptoNightLiteV7
699Hh · 57.0W
|
— | $0.14 | — |
|
—
|
Astralhash
7.377011Mh · 79.0W
|
— | $0.19 | — |
|
—
|
Blake (2s-Kadena)
646.229Mh · 108.0W
|
— | $0.26 | — |
|
—
|
X17
5.018753Mh · 72.0W
|
— | $0.17 | — |
|
—
|
NIST5
20.20426Mh · 97.0W
|
— | $0.23 | — |
|
EPIC
⚠
Epic Cash
|
ProgPow
4.667Mh · 85.0W
|
— | $0.20 | — |
|
—
|
vProgPow
5.156728Mh · 95.0W
|
— | $0.23 | — |
|
—
|
Mike
415Mh · 59.0W
|
— | $0.14 | — |
|
—
|
SHA256DT
994.4671Mh · 79.0W
|
— | $0.19 | — |
|
—
|
Jeonghash
4.681771Mh · 77.0W
|
— | $0.18 | — |
|
—
|
CryptoNightR
345Hh · 64.0W
|
— | $0.15 | — |
|
—
|
Ubqhash
1.275988Mh · 45.0W
|
— | $0.11 | — |
|
GRIN
⚠
Grin
|
Cuckatoo32
0Hh · 90.0W
|
— | $0.22 | — |
|
—
|
Argon2d4096
19.134Kh · 56.0W
|
— | $0.13 | — |
|
—
|
Argon2d250
424.272Kh · 100.0W
|
— | $0.24 | — |
|
—
|
CryptoNightGPU
1.03Kh · 83.0W
|
— | $0.20 | — |
|
—
|
Argon2d-dyn
98.09Kh · 95.0W
|
— | $0.23 | — |
|
—
|
Padihash
524.091Kh · 42.0W
|
— | $0.10 | — |
|
—
|
C11
17.48042Mh · 65.0W
|
— | $0.16 | — |
|
—
|
X18
262.042Kh · 100.0W
|
— | $0.24 | — |
ACM
⚠
Actinium
|
Lyra2z
1.29464Mh · 50.0W
|
— | $0.12 | — |
|
—
|
EquihashBTCZ
21Hh · 87.0W
|
— | $0.21 | — |
|
—
|
EquihashBTG
21Hh · 79.0W
|
— | $0.19 | — |
|
—
|
Equihash(210,9)
108Hh · 94.0W
|
— | $0.23 | — |
|
—
|
CryptoNightFast
664Hh · 58.0W
|
— | $0.14 | — |
|
—
|
CryptoNightHeavy
430Hh · 57.0W
|
— | $0.14 | — |
|
—
|
Equihash(144,5)
21Hh · 88.0W
|
— | $0.21 | — |
|
—
|
Equihash(96,5)
4.969Kh · 66.0W
|
— | $0.16 | — |
|
—
|
Chukwa2
15.176Kh · 57.0W
|
— | $0.14 | — |
|
—
|
Blake256R14-dcr
2.06349916Gh · 104.0W
|
— | $0.25 | — |
|
—
|
BCD
15.46743Mh · 91.0W
|
— | $0.22 | — |
|
—
|
X22i
9.236471Mh · 101.0W
|
— | $0.24 | — |
|
—
|
X25X
2.821534Mh · 93.0W
|
— | $0.22 | — |
|
—
|
Xevan
2.89039Mh · 60.0W
|
— | $0.14 | — |
|
—
|
X17R
5.053566Mh · 75.0W
|
— | $0.18 | — |
|
—
|
Hex
9.63457Mh · 46.0W
|
— | $0.11 | — |
|
—
|
TimeTravel10
21.00292Mh · 94.0W
|
— | $0.23 | — |
|
—
|
Dedal
5.047572Mh · 76.0W
|
— | $0.18 | — |
|
—
|
PHI2
4.408012Mh · 88.0W
|
— | $0.21 | — |
|
—
|
HMQ1725
2.753824Mh · 67.0W
|
— | $0.16 | — |
|
—
|
0x10
6.750428Mh · 71.0W
|
— | $0.17 | — |
|
FTC
⚠
Feathercoin
|
NeoScrypt
712.92Kh · 100.0W
|
— | $0.24 | — |
|
—
|
X16RT
5.123929Mh · 83.0W
|
— | $0.20 | — |
|
—
|
HeavyHash
235.688973Mh · 101.0W
|
— | $0.24 | — |
|
—
|
Lyra2vc0ban
37.525241Mh · 97.0W
|
— | $0.23 | — |
|
—
|
Radiant
315.519712Mh · 91.0W
|
— | $0.22 | — |
|
LTZ
⚠
Litecoinz
|
Zhash
21Hh · 87.0W
|
— | $0.21 | — |
| Pool | Algoritmos soportados | Comisión | |
|---|---|---|---|
|
|
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) · NexaPoW (NEXA) · RandomX (XMR) | 1.0% | Visit → |
SupportXMR
|
RandomX (XMR) | 0.6% | Visit → |
Historial de ingresos netos por hashmarket
| Período | /Día | /Mes |
|---|---|---|
| Ingresos | $0.11 | $3.42 |
|
Costo
$0.1/kWh
|
$0.18 | $5.40 |
| Ganancia | $-0.07 | $-1.98 |
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Periodo de recuperación para Nvidia GeForce GTX 1650 Super
Modela la recuperación de la inversión, el coste eléctrico y la rentabilidad del primer año para este equipo.
Hardware recuperado cuando la línea cruza cero. Después, todo ganancia.
| Month | Earned (mo) | Cost burned (mo) | Cumulative earned | Cumulative cost | Net | % ROI |
|---|
Emisiones anuales por fuente
Basado en el consumo eléctrico anual y la intensidad de carbono de redes comunes.
| Fuente de energía | CO₂e / año |
|---|---|
| Wind | 7.13 kg |
| Nuclear | 7.78 kg |
| Hydroelectric | 15.55 kg |
| Geothermal | 24.62 kg |
| Solar | 29.16 kg |
| Biofuels | 149.04 kg |
| Gas | 317.52 kg |
| Coal | 531.36 kg |
Solo estimaciones — las emisiones reales varían.
¿Qué significa eso realmente?
At the world-average grid intensity of about 475 g CO₂e/kWh, Nvidia GeForce GTX 1650 Super running 24/7 for a year releases about 308 kg of carbon dioxide equivalent. Here's what that looks like in everyday terms:
Dónde lo enchufas importa
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 1650 Super's annual footprint swings from roughly 531 kg on coal-heavy grids down to about 16 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.
Cómo reducir la huella de este equipo
- 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).
Preguntas frecuentes
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.