Hugging Face Text Embeddings Inference serves text embedding models through an inference solution.
OpenModelZ
OpenModelZ scales LLM inference on Kubernetes with engines including vLLM, SGLang, and LMDeploy.

About OpenModelZ
OpenModelZ is an open source tool that simplifies deployment and autoscaling of large language model (LLM) inference workloads. It supports deployment across Kubernetes, cloud virtual machines, home labs, and single physical machines, with native compatibility for vLLM, SGLang, LMDeploy, and custom inference servers. The tool automates core infrastructure setup including load balancing, SSL provisioning, and optional public subdomain assignment for each deployment. It also includes built-in support for Gradio, Streamlit, and Jupyter for model prototyping and debugging, and can scale inference replicas from zero up to 10 or more based on real-time workload demand.
Key features
- Autoscales LLM inference replicas from 0 to 10+ based on workload
- Supports vLLM, SGLang, LMDeploy, and custom inference servers
- Provides built-in support for Gradio, Streamlit, and Jupyter prototyping
- Provisions public subdomains for each deployment at no extra cost
- Deploys models across Kubernetes, cloud VMs, home labs, and single machines
- Automates load balancing, SSL, and infrastructure setup for deployments
- Eliminates weeks or months of manual infrastructure setup for model deployments
- Scales from a single machine to full clusters with a single command
- Includes optional public subdomains for deployments at no extra cost
- May require root permissions to bootstrap the server on port 80
OpenModelZ at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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