Funding the AI Stack: How Builders Pay for Compute and APIs
AI products have an unusual cost profile. Spend can be near zero one week and spike the next as usage scales or a training run kicks off. Traditional cards — with rigid limits and decline-happy fraud systems — are poorly suited to that volatility.
Crypto-funded virtual cards give AI builders a better fit.
Isolate spend by provider
Dedicate a card to each provider — one for your LLM API, one for GPU compute, one for your vector database. When usage spikes on inference, it doesn't threaten your compute budget, and cost attribution stays clean.
Built for unpredictable usage
The practical playbook for AI teams:
- Set generous limits on production cards, tight ones on experiments
- Freeze a card instantly if a key leaks
- Cover GPU and training compute without mid-run declines
- Fund from a single USDT balance for distributed teams
- Track cost per model, product, or experiment
Ship without bottlenecks
The goal is simple: never let a payment system decide whether your model ships. Flexible, crypto-funded cards keep the focus where it belongs — on building.
Start issuing cards in minutes
Fund with USDT, issue unlimited virtual cards, and run your global business without borders.
Get started free