Infrastructure-agnostic orchestration that arbitrages spot capacity across AWS, GCP, and RunPod — with instant FUSE data hydration and zero-loss checkpoint recovery.
Recovery, data, placement, and governance — built in, not bolted on.
Continuous checkpoint streaming and autonomous failover migration — zero lost gradient steps when a spot node dies.
S3/GCS mounts as POSIX in milliseconds — 8 MB block cache with a WAL SQLite index. No two-hour dataset stage-in.
Hourly scans of AWS Spot, GCP preemptible, and RunPod place every job on the cheapest $/GPU-hr.
Per-device pinning and Kubernetes time-slicing pack more jobs onto every physical GPU.
Fair-share GPU-hour budgets, scoped API keys, and Fernet-encrypted credentials at rest.
Run via the Docker SDK or submit straight to your cluster.
Estimated spot arbitrage rates vs hyperscaler on-demand pricing.
YAML spec, Python SDK, CLI, or REST API — your call.
Join AI teams running zero-loss spot training on AetherCompute.
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