NEXUS unifies machine learning, distributed compute, and edge inference into a single adaptive platform —
From real-time inference to fleet-wide orchestration, NEXUS gives your team the primitives to ship intelligent systems at scale.
Auto-scale inference across CPU, GPU, and edge clusters with intelligent routing and zero cold starts.
Stream and visualize millions of events per second with sub-second query responses built in.
End-to-end encryption, granular IAM, and continuous compliance baked into every request.
Deploy to 200+ points of presence and keep data close to users, wherever they are.
Continuous training, A/B testing, and model registry — without the infrastructure headache.
Python, TypeScript, Go, and Rust clients that feel native to your team's workflow.
NEXUS abstracts away the complexity of distributed systems. Define your model once, and let the platform handle placement, scaling, and failover — automatically.
Built on a Rust core for maximum throughput and minimal footprint, with a declarative config surface that reads like prose.
Shipping continuously. Here's the trajectory from research to production.
Core inference engine and model registry shipped to early adopters.
Global edge mesh goes live across 120+ points of presence.
Continuous training and A/B experimentation become first-class.
Privacy-preserving training across distributed silos at scale.
Self-optimizing systems that reason, plan, and act on your behalf.
Join thousands of engineers shipping on NEXUS. Spin up your first model in under five minutes — no credit card required.
Launch Console