paddler
Open-source LLM/VLM load balancer and serving platform for self-hosting at scale
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Decision brief
Paddler offers a streamlined approach to serve LLMs/VLMs with minimal setup complexity, focusing on scaling through simplicity.
Good fit when
- Need a platform that simplifies deployments around the ggml ecosystem for self-hosting at scale
- Prefer single-binary deployment and less dependency management compared to alternatives like llm-d or Docker Model Runner
Avoid when
- Require extensive customization options in model serving infrastructure that Paddler's minimalistic design does not support
- Seek complex feature sets beyond simple scale-out capabilities, which might be found in more comprehensive platforms
Observed Jul 12, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Steady (31d since push)
- As of today
- Provenance
- Not a fork · Organization account
- As of today
- Security (OSV)
- No criticals
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
cargo add paddler crates.ioHow it fits your stack(11)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
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Relationship graph
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Similar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Platform for hosting Large Language Models (LLMs) and Visual Language Models (VLMs) with a focus on simplicity in deployment, built around the ggml ecosystem.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Aug 20, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 20, 2026
- MCP server
- No MCP server detected
Source: repo_scan · Aug 20, 2026
- Languages
- rust, javascript, typescript
Source: github.language+package.json · Aug 20, 2026
Categories
Tags
README
Installation and Quickstart
Paddler is self-contained in a single binary file, so all you need to do to start using it is obtain the paddler binary and make it available in your system.
You can obtain the binary by:
- Option 1: Downloading the latest release from our GitHub releases
- Option 2: Or building Paddler from source (MSRV is 1.88.0)
For agents
This page has a .md twin and JSON over the API.