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MiningBoard Pro
XELISHASHV3 $0.0095/KH/d TARIRANDOMX $0.0293/KH/d QHASH $0.0001/MH/d DYNEXSOLVE $0.0109/KH/d OCTOPUS $0.0131/MH/d NEXAPOW $0.0016/MH/d ABELHASH $0.0000/MH/d MEOWPOW $0.0053/MH/d KARLSENHASHV2 $3.1170/GH/d KAWPOW $0.0045/MH/d CUCKAROO29 $0.0188/H/d ETCHASH $0.0005/MH/d XELISHASHV3 $0.0095/KH/d TARIRANDOMX $0.0293/KH/d QHASH $0.0001/MH/d DYNEXSOLVE $0.0109/KH/d OCTOPUS $0.0131/MH/d NEXAPOW $0.0016/MH/d ABELHASH $0.0000/MH/d MEOWPOW $0.0053/MH/d KARLSENHASHV2 $3.1170/GH/d KAWPOW $0.0045/MH/d CUCKAROO29 $0.0188/H/d ETCHASH $0.0005/MH/d
Bitfury · ASIC · Sha256 · RELEASED NOV 2014

Bitfury BF-756C55 — AI Rental

Profit /day
$-2.19
Income /day
$0.09
0.0000008 BTC/day
Cost $2.28 @ $0.1/kWh
Hashrate
1.7Th/s
Sha256
Power · Efficiency
950.0W
558.82 j/Th

Bitfury BF-756C55 loses $2.22 a day mining Sha256 at 1.7 Th/s and pulling 950.0 W from the wall. That's after subtracting power at $0.1/kWh — not quite breaking even at today's rates.

1 minute ago Similar miners ↓

Live GPU rental rates for the Bitfury BF-756C55 on Vast.ai, RunPod, io.net and other AI compute marketplaces. Each row shows host-net daily income after platform fees, current utilization, and your payback period at $0.1/kWh.

Frequently asked

About the Bitfury BF-756C55

Can the Bitfury BF-756C55 earn from AI rental?

No. The Bitfury BF-756C55 is a mining ASIC — it has no general-purpose compute cores and cannot run AI workloads. AI rental is a GPU-only income mode.

Which AI rental marketplace pays the most for the Bitfury BF-756C55?

We track Vast.ai, RunPod, io.net and other AI compute marketplaces. The table above ranks them by daily host take-home for the Bitfury BF-756C55 after platform fees. Best provider varies by GPU model — datacenter cards like H100/B200 usually clear higher on Vast.ai, while consumer cards often utilize better on RunPod.

How long until the Bitfury BF-756C55 pays back via AI rental?

At $0.1/kWh and current host-net rates, the ROI calculator on this site projects payback months for the Bitfury BF-756C55. Real payback depends on AI demand cycles — utilization swings with the broader compute market, so plan around 30–80% utilization rather than 100%.