Skip to content
@wingsmith-dev

wingsmith-dev

Wingsmith: multi-cluster inference. A control plane for serving models across Kubernetes GPU clusters.

Wingsmith is an open control plane for serving models across several Kubernetes GPU clusters. It enrolls your clusters, keeps a per-device inventory of them, places each model on one or more clusters, renders it there as an NVIDIA Dynamo deployment with vLLM, SGLang or TensorRT-LLM as the engine, and routes OpenAI-compatible requests to it through its own gateway.

  • Two planes. The control plane stores intent. Inference traffic never passes through it, and a running gateway keeps serving from its cached routing table if the plane goes away.
  • Outbound only. Each cluster's operator and agent dial out. The plane holds no kubeconfigs and nothing dials into a cluster.
  • Per-device inventory. DCGM identity and health, with NVLink, NVSwitch and PCIe topology.
  • Operations with a lifecycle. Scale, pause and drain have progress, an actor, a reason and a failure mode.
  • Measurement built in. API conformance against a reference provider, four load generators side by side, and request-path measurement without a GPU.

Status: pre-release. No tagged release, images or charts yet, and APIs and protocols can change. Licensed under Apache 2.0.

Website · Docs · Architecture · Quickstart · Model directory · Roadmap

Built by Aircloud.

Popular repositories Loading

  1. wingsmith wingsmith Public

    The open inference control plane for Kubernetes GPU clusters. Coming soon.

    Python 5

  2. .github .github Public

    Wingsmith organization profile

Repositories

Showing 2 of 2 repositories

People

This organization has no public members. You must be a member to see who’s a part of this organization.

Top languages

Loading…

Most used topics

Loading…