Intelligent autoscaling
Scale from 0 to 1000+ replicas based on request volume, queue depth, and custom metrics. Scales down to zero during idle periods.
Nimbus abstracts away the complexity of GPU infrastructure so you can focus on building great AI products.
Scale from 0 to 1000+ replicas based on request volume, queue depth, and custom metrics. Scales down to zero during idle periods.
Deploy to 12+ regions across AWS, GCP, and Azure. Automatic traffic routing to the nearest healthy region.
Choose from NVIDIA A100 (40/80GB), H100, L40S, or A10G. Switch GPU types without code changes.
Immutable deployments with instant rollback. A/B test different model versions with traffic splitting.
Built-in logging, tracing, and metrics. Integration with Datadog, Grafana, and Prometheus.
Bring your own Docker image or use pre-built runtimes for PyTorch, TensorFlow, ONNX, and TensorRT.
Our pre-warming engine keeps a pool of warm containers ready for your traffic spikes. Combined with lazy model loading and optimized container images, we deliver the fastest cold starts in the industry.
Write a Python inference function or bring a Docker image. Add a nimbus.yaml config file with GPU requirements.
Run 'nimbus deploy' from your terminal or CI/CD pipeline. We build, optimize, and distribute your container.
Get an HTTPS endpoint. Requests route to the nearest region. Autoscaling handles traffic spikes.
View logs, traces, and cost breakdowns in real-time. Deploy new versions with zero downtime.
Nimbus is SOC 2 Type II and HIPAA compliant. All data is encrypted at rest and in transit. Deploy to private VPCs, bring your own cloud account, or use our managed infrastructure.