LP Agent
Nvidia GeForce RTX 5070
Nvidia GeForce RTX 5070 earns $1.21 per day renting on the AI GPU marketplace at a median rate of $0.07/h, drawing 150W. At $0.1/kWh electricity, the daily power cost is $0.41.
Tagesprognose MIETE
| Zeitraum | /Tag | /Monat |
|---|---|---|
| Einnahmen | $1.62 | $48.46 |
|
Kosten
$0.1/kWh
|
$0.41 | $12.30 |
| Gewinn | $1.21 | $36.22 |
| Anbieter | GPU | Einnahmen | Kosten | Gewinn |
|---|---|---|---|---|
|
Vast.ai
GPU-Marktplatz
|
RTX 5070
$0.079/h ·
1 Angebot
|
$1.62
|
$0.41 |
$1.21
★
Besuchen →
|
| Coin | Algorithm | Einnahmen | Kosten | Gewinn |
|---|---|---|---|---|
CFX
⚠
Conflux
|
Octopus
85Mh · 170.0W
|
$0.96 | $0.41 | $0.55 |
|
—
|
Cuckaroo29
8.9Hh · 120.0W
|
— | $0.29 | — |
NEXA
⚠
Nexa
|
NexaPoW
130Mh · 170.0W
|
$0.22 | $0.41 | $-0.19 |
|
RVN
Ravencoin
|
KAWPOW
41Mh · 180.0W
|
$0.18 | $0.43 | $-0.25 |
|
—
|
Ethash
80Mh · 150.0W
|
— | $0.36 | — |
ERG
⚠
Ergo
|
Autolykos2
200Mh · 110.0W
|
$0.08 | $0.26 | $-0.18 |
|
LTZ
⚠
Litecoinz
|
Zhash
80Hh · 160.0W
|
— | $0.38 | — |
|
ETC
Ethereum Classic
|
Etchash
80Mh · 150.0W
|
$0.04 | $0.36 | $-0.32 |
|
IRON
⚠
Iron Fish
|
FishHash
80.0Mh · 150.0W
|
— | $0.36 | — |
|
—
|
XelisHashV2
50Kh · 130.0W
|
— | $0.31 | — |
|
EPIC
⚠
Epic Cash
|
ProgPow
41Mh · 180.0W
|
— | $0.43 | — |
|
—
|
Blake3
3Gh · 170.0W
|
— | $0.41 | — |
LP Agent
- Architecture
- Blackwell
- Mining algos
- 7
- Model
- GeForce RTX 5070
- Power
- 180 W
- Process
- 4 nm
- Release
- 2025
- Release year
- 2025
- TDP
- 180 W
- Type
- GPU
- Vendor
- Nvidia
So verdient Nvidia GeForce RTX 5070 auf dem KI-GPU-Marktplatz
| Anbieter | GPU | Einnahmen | Kosten | Gewinn |
|---|---|---|---|---|
|
Vast.ai
GPU-Marktplatz
|
RTX 5070
$0.079/h ·
1 Angebot
|
$1.62
|
$0.41 |
$1.21
★
Besuchen →
|
Nvidia GeForce RTX 5070 verdient $1.21/Tag mit Vermietung an KI-Workloads — deutlich mehr als die $0.55/Tag beim Mining von Octopus. Mining und Vermietung schließen sich gegenseitig aus; der KI-Marktplatz ist hier die klare Wahl.
| Markt | Algorithmus | Gewinn /Tag | |||
|---|---|---|---|---|---|
|
NiceHash
seller 24h-weighted avg
|
Octopus
0.00000002978 BTC/M/d
|
$-0.22
$0.19 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR floor
0% rented · matches cheapest seller
|
Octopus
0.00000011000 BTC/M/d
|
$0.30
★
$0.71 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
Octopus
0.00000064110 BTC/M/d
|
$3.72
★
$4.13 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Octopus
0.00000014879 BTC/M/d
|
$0.55
$0.96 einnahmen · $0.41 kosten
|
|||
| NexaPoW | |||||
|
NiceHash
seller 24h-weighted avg
|
NexaPoW
0.00000002179 BTC/M/d
|
$-0.20
$0.21 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR floor
0% rented · matches cheapest seller
|
NexaPoW
0.00000006560 BTC/M/d
|
$0.24
★
$0.65 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
NexaPoW
0.00000032850 BTC/M/d
|
$2.83
★
$3.24 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
NexaPoW
0.00000011682 BTC/M/d
|
$0.74
$1.15 einnahmen · $0.41 kosten
|
|||
| FishHash | |||||
|
NiceHash
seller 24h-weighted avg
|
FishHash
0.00000003171 BTC/M/d
|
$-0.22
$0.19 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR floor
0% rented · matches cheapest seller
|
FishHash
0.00000012000 BTC/M/d
|
$0.32
★
$0.73 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
FishHash
0.00000015078 BTC/M/d
|
$0.50
★
$0.91 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
FishHash
0.00000024279 BTC/M/d
|
$1.06
$1.47 einnahmen · $0.41 kosten
|
|||
| KAWPOW | |||||
|
NiceHash
seller 24h-weighted avg
|
KAWPOW
0.00000005613 BTC/M/d
|
$-0.24
$0.17 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR floor
6% rented · matches cheapest seller
|
KAWPOW
0.00000010622 BTC/M/d
|
$-0.08
★
$0.33 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
KAWPOW
0.00000018826 BTC/M/d
|
$0.17
★
$0.58 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
KAWPOW
0.00000012435 BTC/M/d
|
$-0.02
$0.39 einnahmen · $0.41 kosten
|
|||
| Zhash | |||||
|
NiceHash
seller 24h-weighted avg
|
Zhash
0.00000000693 BTC/H/d
|
$-0.37
$0.04 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR floor
0% rented · matches cheapest seller
|
Zhash
0.00000007080 BTC/H/d
|
$0.02
★
$0.43 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
Zhash
0.00000008185 BTC/H/d
|
$0.09
★
$0.50 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Zhash
0.00000007080 BTC/H/d
|
$0.02
$0.43 einnahmen · $0.41 kosten
|
|||
| Ethash | |||||
|
NiceHash
seller 24h-weighted avg
|
Ethash
0.00000002000 BTC/M/d
|
$-0.29
★
$0.12 einnahmen · $0.41 kosten
Besuchen →
|
|||
| Etchash | |||||
|
NiceHash
seller 24h-weighted avg
|
Etchash
0.00000000501 BTC/M/d
|
$-0.38
$0.03 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR floor
10% rented · matches cheapest seller
|
Etchash
0.00000001320 BTC/M/d
|
$-0.33
★
$0.08 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
Etchash
0.00000001625 BTC/M/d
|
$-0.31
★
$0.10 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Etchash
0.00000001394 BTC/M/d
|
$-0.33
$0.08 einnahmen · $0.41 kosten
|
|||
| Autolykos2 | |||||
|
NiceHash
seller 24h-weighted avg
|
Autolykos2
0.00000000546 BTC/M/d
|
$-0.33
★
$0.08 einnahmen · $0.41 kosten
Besuchen →
|
|||
| Blake3 | |||||
|
NiceHash
seller 24h-weighted avg
|
Blake3
0.00000000179 BTC/G/d
|
$-0.41
★
$0.00 einnahmen · $0.41 kosten
Besuchen →
|
|||
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Amortisation für Nvidia GeForce RTX 5070
Modelliere Amortisation, Stromkosten und Erstjahresrendite für dieses Gerät.
Hardware-Kosten amortisiert, wenn die Linie 0 kreuzt. Danach reiner Gewinn.
| Month | Earned (mo) | Cost burned (mo) | Cumulative earned | Cumulative cost | Net | % ROI |
|---|
Jährliche Emissionen pro Energiequelle
Basierend auf dem jährlichen Stromverbrauch und der CO₂-Intensität verschiedener Stromnetze.
| Energiequelle | CO₂e / Jahr |
|---|---|
| Wind | 16.16 kg |
| Nuclear | 17.63 kg |
| Hydroelectric | 35.25 kg |
| Geothermal | 55.81 kg |
| Solar | 66.1 kg |
| Biofuels | 337.82 kg |
| Gas | 719.71 kg |
| Coal | 1,204.42 kg |
Nur Schätzungen — tatsächliche Emissionen variieren.
Was bedeutet das konkret?
At the world-average grid intensity of about 475 g CO₂e/kWh, Nvidia GeForce RTX 5070 running 24/7 for a year releases about 698 kg of carbon dioxide equivalent. Here's what that looks like in everyday terms:
Wo du einsteckst, zählt
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 RTX 5070's annual footprint swings from roughly 1,204 kg on coal-heavy grids down to about 35 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.
So reduzierst du den Fußabdruck dieses Rigs
- 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).
Häufig gestellte Fragen
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.
Tagesprognose MIETE
| Zeitraum | /Tag | /Monat |
|---|---|---|
| Einnahmen | $1.62 | $48.46 |
|
Kosten
$0.1/kWh
|
$0.41 | $12.30 |
| Gewinn | $1.21 | $36.22 |
| Anbieter | GPU | Einnahmen | Kosten | Gewinn |
|---|---|---|---|---|
|
Vast.ai
GPU-Marktplatz
|
RTX 5070
$0.079/h ·
1 Angebot
|
$1.62
|
$0.41 |
$1.21
★
Besuchen →
|
| Coin | Algorithm | Einnahmen | Kosten | Gewinn |
|---|---|---|---|---|
CFX
⚠
Conflux
|
Octopus
85Mh · 170.0W
|
$0.96 | $0.41 | $0.55 |
|
—
|
Cuckaroo29
8.9Hh · 120.0W
|
— | $0.29 | — |
NEXA
⚠
Nexa
|
NexaPoW
130Mh · 170.0W
|
$0.22 | $0.41 | $-0.19 |
|
RVN
Ravencoin
|
KAWPOW
41Mh · 180.0W
|
$0.18 | $0.43 | $-0.25 |
|
—
|
Ethash
80Mh · 150.0W
|
— | $0.36 | — |
ERG
⚠
Ergo
|
Autolykos2
200Mh · 110.0W
|
$0.08 | $0.26 | $-0.18 |
|
LTZ
⚠
Litecoinz
|
Zhash
80Hh · 160.0W
|
— | $0.38 | — |
|
ETC
Ethereum Classic
|
Etchash
80Mh · 150.0W
|
$0.04 | $0.36 | $-0.32 |
|
IRON
⚠
Iron Fish
|
FishHash
80.0Mh · 150.0W
|
— | $0.36 | — |
|
—
|
XelisHashV2
50Kh · 130.0W
|
— | $0.31 | — |
|
EPIC
⚠
Epic Cash
|
ProgPow
41Mh · 180.0W
|
— | $0.43 | — |
|
—
|
Blake3
3Gh · 170.0W
|
— | $0.41 | — |
- Architecture
- Blackwell
- Mining algos
- 7
- Model
- GeForce RTX 5070
- Power
- 180 W
- Process
- 4 nm
- Release
- 2025
- Release year
- 2025
- TDP
- 180 W
- Type
- GPU
- Vendor
- Nvidia
So verdient Nvidia GeForce RTX 5070 auf dem KI-GPU-Marktplatz
| Anbieter | GPU | Einnahmen | Kosten | Gewinn |
|---|---|---|---|---|
|
Vast.ai
GPU-Marktplatz
|
RTX 5070
$0.079/h ·
1 Angebot
|
$1.62
|
$0.41 |
$1.21
★
Besuchen →
|
Nvidia GeForce RTX 5070 verdient $1.21/Tag mit Vermietung an KI-Workloads — deutlich mehr als die $0.55/Tag beim Mining von Octopus. Mining und Vermietung schließen sich gegenseitig aus; der KI-Marktplatz ist hier die klare Wahl.
| Markt | Algorithmus | Gewinn /Tag | |||
|---|---|---|---|---|---|
|
NiceHash
seller 24h-weighted avg
|
Octopus
0.00000002978 BTC/M/d
|
$-0.22
$0.19 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR floor
0% rented · matches cheapest seller
|
Octopus
0.00000011000 BTC/M/d
|
$0.30
★
$0.71 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
Octopus
0.00000064110 BTC/M/d
|
$3.72
★
$4.13 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Octopus
0.00000014879 BTC/M/d
|
$0.55
$0.96 einnahmen · $0.41 kosten
|
|||
| NexaPoW | |||||
|
NiceHash
seller 24h-weighted avg
|
NexaPoW
0.00000002179 BTC/M/d
|
$-0.20
$0.21 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR floor
0% rented · matches cheapest seller
|
NexaPoW
0.00000006560 BTC/M/d
|
$0.24
★
$0.65 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
NexaPoW
0.00000032850 BTC/M/d
|
$2.83
★
$3.24 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
NexaPoW
0.00000011682 BTC/M/d
|
$0.74
$1.15 einnahmen · $0.41 kosten
|
|||
| FishHash | |||||
|
NiceHash
seller 24h-weighted avg
|
FishHash
0.00000003171 BTC/M/d
|
$-0.22
$0.19 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR floor
0% rented · matches cheapest seller
|
FishHash
0.00000012000 BTC/M/d
|
$0.32
★
$0.73 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
FishHash
0.00000015078 BTC/M/d
|
$0.50
★
$0.91 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
FishHash
0.00000024279 BTC/M/d
|
$1.06
$1.47 einnahmen · $0.41 kosten
|
|||
| KAWPOW | |||||
|
NiceHash
seller 24h-weighted avg
|
KAWPOW
0.00000005613 BTC/M/d
|
$-0.24
$0.17 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR floor
6% rented · matches cheapest seller
|
KAWPOW
0.00000010622 BTC/M/d
|
$-0.08
★
$0.33 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
KAWPOW
0.00000018826 BTC/M/d
|
$0.17
★
$0.58 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
KAWPOW
0.00000012435 BTC/M/d
|
$-0.02
$0.39 einnahmen · $0.41 kosten
|
|||
| Zhash | |||||
|
NiceHash
seller 24h-weighted avg
|
Zhash
0.00000000693 BTC/H/d
|
$-0.37
$0.04 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR floor
0% rented · matches cheapest seller
|
Zhash
0.00000007080 BTC/H/d
|
$0.02
★
$0.43 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
Zhash
0.00000008185 BTC/H/d
|
$0.09
★
$0.50 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Zhash
0.00000007080 BTC/H/d
|
$0.02
$0.43 einnahmen · $0.41 kosten
|
|||
| Ethash | |||||
|
NiceHash
seller 24h-weighted avg
|
Ethash
0.00000002000 BTC/M/d
|
$-0.29
★
$0.12 einnahmen · $0.41 kosten
Besuchen →
|
|||
| Etchash | |||||
|
NiceHash
seller 24h-weighted avg
|
Etchash
0.00000000501 BTC/M/d
|
$-0.38
$0.03 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR floor
10% rented · matches cheapest seller
|
Etchash
0.00000001320 BTC/M/d
|
$-0.33
★
$0.08 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR recent
last 10 rentals · actual clearing price
|
Etchash
0.00000001625 BTC/M/d
|
$-0.31
★
$0.10 einnahmen · $0.41 kosten
Besuchen →
|
|||
|
MRR asking
aspirational — seller wish, not matched
|
Etchash
0.00000001394 BTC/M/d
|
$-0.33
$0.08 einnahmen · $0.41 kosten
|
|||
| Autolykos2 | |||||
|
NiceHash
seller 24h-weighted avg
|
Autolykos2
0.00000000546 BTC/M/d
|
$-0.33
★
$0.08 einnahmen · $0.41 kosten
Besuchen →
|
|||
| Blake3 | |||||
|
NiceHash
seller 24h-weighted avg
|
Blake3
0.00000000179 BTC/G/d
|
$-0.41
★
$0.00 einnahmen · $0.41 kosten
Besuchen →
|
|||
| Rigs × Qty | Share | Rev /rig/day | Cost /rig/day | Profit /rig/day | Total profit /day |
|---|---|---|---|---|---|
| — | — | — | — | — | — |
Amortisation für Nvidia GeForce RTX 5070
Modelliere Amortisation, Stromkosten und Erstjahresrendite für dieses Gerät.
Hardware-Kosten amortisiert, wenn die Linie 0 kreuzt. Danach reiner Gewinn.
| Month | Earned (mo) | Cost burned (mo) | Cumulative earned | Cumulative cost | Net | % ROI |
|---|
Jährliche Emissionen pro Energiequelle
Basierend auf dem jährlichen Stromverbrauch und der CO₂-Intensität verschiedener Stromnetze.
| Energiequelle | CO₂e / Jahr |
|---|---|
| Wind | 16.16 kg |
| Nuclear | 17.63 kg |
| Hydroelectric | 35.25 kg |
| Geothermal | 55.81 kg |
| Solar | 66.1 kg |
| Biofuels | 337.82 kg |
| Gas | 719.71 kg |
| Coal | 1,204.42 kg |
Nur Schätzungen — tatsächliche Emissionen variieren.
Was bedeutet das konkret?
At the world-average grid intensity of about 475 g CO₂e/kWh, Nvidia GeForce RTX 5070 running 24/7 for a year releases about 698 kg of carbon dioxide equivalent. Here's what that looks like in everyday terms:
Wo du einsteckst, zählt
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 RTX 5070's annual footprint swings from roughly 1,204 kg on coal-heavy grids down to about 35 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.
So reduzierst du den Fußabdruck dieses Rigs
- 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).
Häufig gestellte Fragen
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.