Use Cases

Astralis is designed to support high-value workloads where predictable costs and stable revenues are critical. Two immediate categories stand out: zk-rollup proof generation and AI inference. Both represent large-scale demand for GPUs and face adoption barriers on existing decentralized compute markets.

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Across all workloads, Astralis provides:

• Predictable Costs for Buyers: Compute denominated in stablecoins, not volatile tokens.

• Stable Revenues for Providers: Payouts in USDT, the most liquid stablecoin.

• Frictionless UX: Jobs provisioned and executed with a single asset.

• Enterprise Readiness: A model that mirrors SaaS pricing while operating on-chain.