Home / Buy vs rent

Economics 1.0.0 · cash-flow break-even · not “best”

Buy or rent hardware for your AI workload?

Purchase prices come from the current validated build BOM or an exact workstation configuration. Rent comes from currently priced GPU server offers. Electricity uses active hours only. Token cost per 1M output tokens is shown only when Phase 11C serving evidence is comparable on both sides.

Advanced assumptions

Your workload

SmolLM2 1.7B Instruct · Q4 · 8K

Assumptions used
  • 200 active hours/month · RigForAI default assumption
  • $0.15/kWh · RigForAI default assumption, not a national tariff
  • 24-month comparison horizon · RigForAI default assumption
  • 36-month amortization for the monthly equivalent view only · RigForAI default assumption
  • Maintenance $0.00/month · RigForAI default assumption ($0)
  • Idle wall power outside active hours is excluded (unknown idle draw).
  • PSU rated wattage is not used as system power draw.

Buy

Cheapest validated custom build

Validated custom build (NVIDIA GTX 1660 SUPER 6 GB)

Purchase $725.32 · source Phase 9 current BOM
Electricity $19.63/month (estimated 654 W × 200 h)
Amortized hardware cost $20.15/month
Monthly equivalent under selected amortization assumptions $39.78
Cumulative at 24 months $1,196.52

Prebuilt workstation

Lenovo P5 · NVIDIA RTX 2000 Ada Generation · 64 GB RAM

Purchase $4175.00 · exact configuration, Phase 10 current price
Electricity /month (unknown — CPU/GPU wall model incomplete; $0 unless you supply watts)
Monthly equivalent under selected amortization assumptions $115.97
Cumulative at 24 months $4,175.00

Check current Amazon price

Rent

Memory-capable rental options with current Phase 11 prices. Hourly offers use your active hours. Monthly dedicated offers use the contract price regardless of hours. Setup fees are separate.

OfferBillingUsage-adjusted / monthSetupCumulative 24 moAvailability
Vast.ai · 1× NVIDIA RTX 5070 12 GB
Memory-capable rental option · Vietnam, VN · VN
hour · $0.074/h$14.81$0.00$355.56listed as available
Vast.ai · 1× NVIDIA RTX 5080 16 GB
Memory-capable rental option · Ontario, CA · CA
hour · $0.147/h$29.48$0.00$707.56listed as available
Vast.ai · 1× NVIDIA RTX 4090 24 GB
Memory-capable rental option · Iowa, US · US
hour · $0.269/h$53.78$0.00$1,290.67listed as available
Vast.ai · 2× NVIDIA RTX 5070 Ti 16 GB
Memory-capable rental option · Poland, PL · PL
hour · $0.309/h$61.78$0.00$1,482.67listed as available
Vast.ai · 4× NVIDIA RTX 3090 24 GB
Memory-capable rental option · Japan, JP · JP
hour · $0.406/h$81.16$0.00$1,947.73listed as available

Lowest monthly rental cost under these usage assumptions: Vast.ai hour $14.81 · provider listing

Lowest cumulative cost after 24 months (rent side): Vast.ai hour $355.56

Break-even

At 200 active hours/month and $0.15/kWh, this Vast.ai hour offer remains cheaper through the cash-flow model — rental monthly cost is not higher than local electricity+maintenance, so buying does not catch up.

BUY vs this RENTStateMonths
Validated custom build (NVIDIA GTX 1660 SUPER 6 GB) vs Vast.ai (hour)RENT_ALWAYS_CHEAPER_WITHIN_MODEL
Validated custom build (NVIDIA GTX 1660 SUPER 6 GB) vs Vast.ai (hour)BREAK_EVEN~73.7
Validated custom build (NVIDIA GTX 1660 SUPER 6 GB) vs Vast.ai (hour)BREAK_EVEN~21.2
Validated custom build (NVIDIA GTX 1660 SUPER 6 GB) vs Vast.ai (hour)BREAK_EVEN~17.2
Validated custom build (NVIDIA GTX 1660 SUPER 6 GB) vs Vast.ai (hour)BREAK_EVEN~11.8

Cumulative cost

$1,291months

Teal: custom build. Other lines: lowest-cost rentals under your usage. Not a ranking of “best”.

Serving economics

Cost per 1M output tokens: TOKEN_ECONOMICS_UNAVAILABLE

No EXACT_HARDWARE Phase 11C mapping on the ranked rental offers for this catalog model.

Buy vs rent by AI model

Model → GPU fit → custom build, workstation, or rental server → cash-flow comparison. Calculator query states are not indexed.

Compare ways to run AI

How buy vs rent works

  1. Select an AI workload.
  2. Compare current compatible BUY and RENT options.
  3. See cumulative cost and break-even under your assumptions.