State of the art inference performance with modern accelerators on Kubernetes
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Updated
Oct 29, 2026 - Python
State of the art inference performance with modern accelerators on Kubernetes
High-performance Lemonade alternative for AMD Strix Halo & Radeon — latest MoE models (Ling-3.0-Flash, Qwen 3.8 Flash Next, Ornith 1.5), bleeding-edge RDNA 3.5 Wave64/ROCmFP4 kernels, and silicon-tuned profiles.
A collection of model deployment library and technique.
A standalone inference server for trained Rubix ML estimators.
Apache MXNet Gluon implementation for state of the art FER+ paper for Facial Emotion Recognition - https://arxiv.org/abs/1608.01041
High Performan Ai Model Web Server. Mainly support computer vision model. Quickly establish your own ai-model server. https://github.com/MaybeShewill-CV/mortred_model_server
Model Server for Kepler
Serve pytorch / torch models using Drogon
Production ready templates for deploying Driverless AI (DAI) scorers. https://h2oai.github.io/dai-deployment-templates/
Client for TensorFlow Serving
Free, open-source Mac menu-bar Duck that keeps your Mac awake — local AI agents, model servers, renders, downloads. Lid closed, on battery. No telemetry.
Simple webserver for externalizing RASA models.
One API and one way to launch any Jev-type decision model on a Mac
SKIL: Skymind Intelligence Layer
Isolated runtime for Hugging Face models requiring `trust_remote_code=True`, using a loopback-only Docker container and a FastAPI bridge.
One OpenAI + Anthropic endpoint for every local model: starts models on request, frees GPU cards when idle, runs background work on free cards
Fork of Ollama for BlackRoad local model runtime, Pi fleet, and RoadCode provider experiments.
Find, download and serve OpenVINO models on your own machine, from one window. A Monad app.
To associate your repository with the model-server topic, visit your repo's landing page and select "manage topics."