ASIC hash chips cannot be “reprogrammed” into GPUs. So we do what actually works: we convert your ASIC fleet value + operations into GPU compute capacity, sell GPU hours to customers, and pay you from real utilization-based revenue.
Monthly payouts tied to compute utilization, plus transparent reporting.
Asset conversion, GPU buildout, hosting, DevOps, customer demand, billing, and support.
ASIC owners with thin mining margins who want a higher-value use of their power and ops expertise.
We do not claim ASIC boards “run AI”. We deploy real GPU compute and monetize it properly.
Mining sells hashrate. AI sells scarce compute time with operational requirements (uptime, support, networking) that can command higher rates.
AI capacity is monetized as billable time. Higher utilization → higher revenue.
With good operations you can improve uptime, reduce failures, and keep utilization high.
If you already run power & cooling well, you’re close to what AI hosting needs—just with different hardware.
We recommend the best route based on your fleet, location, and electricity.
You hand over ASIC miners under management. We convert the asset value into GPU compute capacity, deploy and operate it, sell GPU hours, and share net revenue with you.
Where it makes sense, we reuse chassis/power/cooling components and build compact GPU nodes (typically for inference / smaller workloads, not large multi-node training).
Models, quantity, condition, logistics, power constraints, timeline.
GPU nodes, networking/storage as required, monitoring & incident response.
Customer demand, billing, utilization tracking, payout reports.
Direct answers (to avoid misunderstandings).
No. ASIC chips are specialized for hashing and cannot be converted into general AI accelerators via firmware. Our approach is to convert the asset value and operational setup into real GPU compute capacity.
Typically: your ASIC fleet under management (and optionally hosting/power access). We handle conversion, compute deployment, operations, sales, billing, and reporting.
Utilization %, customer rate per GPU-hour, electricity, downtime, and operational maturity (monitoring, support, replacements).
Payouts are tied to net compute revenue and the agreed revenue share. You get a transparent breakdown of utilization, gross revenue, fees/downtime, electricity, and net distribution.