Deploy and scale AI models in your own infrastructure with production-ready features and hardware flexibility.
Built on modern architecture
with enterprise-grade reliability
and operational excellence.
Deploy across NVIDIA GPU, AMD GPU, and Intel XPU with a unified runtime.
Models and APIs stay the same — hardware becomes a flexible choice, not a constraint.
Run models on bare metal, VMs, or containers within your own environment.
No external dependency or cloud lock-in — your infrastructure defines the boundary.
Production-grade LLM serving with high availability and rolling upgrades.
KV-cache aware routing and elastic scaling ensure consistent low latency under real workloads.
Built for organizations that need governance, visibility, and control.
Multi-tenancy, usage-based accounting, and fine-grained access policies included by design.
Works with mainstream inference engines and models.
Unified APIs and pre-validated model catalog reduce integration friction and operational overhead.
Fully open source and actively developed in the open.
Transparent roadmap, collaborative ecosystem, and vendor-independent evolution.