Startups burning runway. Enterprise teams with compliance checklists. Research labs that need a cluster today, not next quarter. Inference builders where every millisecond is a business metric. Aircloud is designed for all of them — with isolation tiers to match each risk profile.
The problem
You're burning runway. Infra engineers are expensive. GPU availability is unpredictable. And your demo breaks every time compute costs spike.
How Aircloud fits
Serverless GPU that starts in under 90 seconds. Per-second billing. Scale to zero when idle. No contracts, no minimums — until you're ready.
The problem
Your legal team has questions. Your security team won't approve shared GPU pools. And procurement timelines can kill a project before it starts.
How Aircloud fits
Trusted tier: VM-level isolation on hyperscaler infrastructure. DPA available. SOC 2. Single-tenant by default. Enterprise contracts and dedicated SLAs.
The problem
Quota limits on AWS and GCP. Spot interruptions with no checkpoint. Waiting weeks for reserved capacity that you only need for three days.
How Aircloud fits
Community tier for cheap experimentation. Spot instances with auto-checkpoint. Burst to multi-node clusters when experiments demand it — no annual commitment.
The problem
Shared GPU pools mean noisy neighbors. Contention spikes your p99 latency. You're running an inference business — unpredictability is a business risk.
How Aircloud fits
Dedicated endpoints. Your model on your GPU. No shared tenancy. Auto-scaling, per-second billing, and cold starts under 90 seconds.
Aircloud works for any team that needs GPU compute with real isolation requirements. If your use case doesn't fit neatly into a category, we'd still like to hear about it.