Run AI in production.
At infinite scale.
The unified inference platform built for engineering teams. Deploy models faster, autoscale seamlessly from zero to millions, and route requests globally with sub-millisecond overhead.
Trusted by scaling engineering teams
Infrastructure that gets out of your way.
We abstract away the complexity of GPU orchestration, cold starts, and load balancing so you can focus on building.
Serverless Inference
Run custom models or open-source foundation models on dedicated or shared GPUs. Pay only for compute time used down to the millisecond.
Zero-to-N Autoscaling
Our custom orchestration layer handles traffic spikes instantly. Scale from zero to thousands of replicas without managing Kubernetes.
Global Edge Routing
Automatically route inference requests to the nearest available GPU region to minimize latency and ensure high availability globally.
Deep Observability
Get granular metrics on token generation speed, TTFT, request latency, and GPU utilization. Export traces to Datadog or Prometheus.
Enterprise Security & VPC
Deploy within your own VPC boundaries. SOC2 compliant architecture with granular IAM controls, private endpoints, and end-to-end encryption for sensitive workloads.
From prototype to production.
A unified workflow designed for modern AI teams.
from nexus import Client
client = Client(api_key="nx_...")
response = client.chat.completions.create(
model="custom-llama-v2",
messages=[{"role": "user", "content": "Hello"}]
)
Drop-in compatibility.
Our API is 100% compatible with OpenAI's format. Point your existing application to our endpoint, change the API key, and instantly route traffic through our optimized inference engine. No code rewrites required.
Intelligent load balancing.
Behind the scenes, requests are routed through our global edge network. We maintain a warm pool of instances and intelligently distribute load based on continuous latency monitoring, virtually eliminating queue times.
"Switching to Nexus felt like upgrading from a shared server to a dedicated CDN for our AI workloads. Our time-to-first-token dropped by 40%, and we completely stopped worrying about scaling during viral spikes."
Ready for production?
Join hundreds of engineering teams building fast, reliable AI applications on our infrastructure.