A globally distributed GPU fabric for teams training, fine-tuning and serving frontier models. Provision in seconds. Scale to ten thousand accelerators. Never think about infrastructure again.
Trusted by teams shipping frontier systems
Training clusters, burst inference, retrieval pipelines. Aether schedules them onto the same global pool — so capacity follows demand, not the other way around.
Jobs begin before the container finishes booting. A pre-warmed pool of 12,000 accelerators stays idle, encrypted and ready.
Anycast routing places inference in the region with the lowest measured latency — not the nearest pin on a map.
Bring a container, a checkpoint, or nothing at all. The same interface across 40+ open models.
Scale from one accelerator to ten thousand without renegotiating a thing.
Confidential compute, customer-managed keys, and a network with no public ingress.
Every invocation, trace and GPU thermal event in one stream. Alerting that fires before your users notice.
Multi-region failover is automatic, and the SLA is 99.99% — with credits that apply themselves.
No YAML archaeology. No capacity tickets. Three commands between your model and its first user.
Install the SDK, authenticate once, and Aether reads your existing container or checkpoint exactly as it is.
Choose a model or push a container. We build, warm and place it across the fabric — usually before your coffee lands.
Traffic rises; the scheduler responds. You watch requests per second, not utilisation graphs.
We went from a six-week capacity negotiation to a ninety-second deployment. Aether is the first infrastructure we've stopped thinking about.
Start in ninety seconds. No commitment, no sales call, no egress invoice waiting at the end of the month.
$ npm i -g @aether/cli
Free tier includes 50 GPU-hours · No card required