FIELD HUB · GPU, AI AND INFRASTRUCTURE
GPU Hosting & Local AI Infrastructure: Power, Costs and Multi-GPU
A practical path for choosing hardware, measuring electricity, understanding Vast.ai and calculating profitability without confusing gross revenue with profit.
Three studies grounded in observed data
Recommended decision order
- Define the workloadGaming, local AI, rendering, compute rental and mixed use do not require the same VRAM or software.
- Validate the whole platformGPU, PCIe lanes, CPU, RAM, storage, PSU, case, ventilation and network must work together.
- Measure at the wallThe card TGP is not the complete system’s wall draw.
- Calculate netGross revenue minus power, fees, maintenance, management time, tax and hardware recovery.
Supporting guides and tools
VRAM, CUDA/ROCm, software and power.
Monetize an idle PCMethods, risks, net calculation and a 30-day test.
Local AI workstationA complete hardware baseline rather than a GPU-only decision.
Cost + profitability calculatorPurchase, electricity, resale and possible revenue using your inputs.
Frequently asked questions
Do two 16 GB GPUs become 32 GB of VRAM?
Not automatically. Software must know how to split the model or tasks between cards. Capacity is not merged like ordinary system RAM.
Does verified status guarantee more rentals?
No. It can reduce some buyer uncertainty, but price, availability, reliability, VRAM, CPU, storage, network and demand also matter.
Is gross revenue enough to justify another card?
No. The decision should use measured net revenue and a downside case, not only the best days.