Open-source LLM/VLM load balancer and serving platform for self-hosting LLMs (and VLMs) at scale 🏓🦙 Alternative to projects like llm-d, Docker Model Runner, etc but with less moving parts and simple deployments built around ggml ecosystem. Runs on CPU and GPU.
Run and manage large language models on your own servers for privacy and control.
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Free · no card · unsubscribe anytimeOpen-source LLM/VLM load balancer and serving platform for self-hosting LLMs (and VLMs) at scale 🏓🦙 Alternative to projects like llm-d, Docker Model Runner, etc but with less moving parts and simple deployments built around ggml ecosystem. Runs on CPU and GPU.
paddler has 1.7k stars on GitHub. It has been forked 97 times. paddler is written mainly in Rust. It has been in active development since 2024. paddler is available under the Apache-2.0 license. Its main topics are ai, llamacpp, llm, llmops.
Open-source LLM/VLM load balancer and serving platform for self-hosting LLMs (and VLMs) at scale 🏓🦙 Alternative to projects like llm-d, Docker Model Runner, etc but with less moving parts and simple deployments built around ggml ecosystem. Runs on CPU and GPU.
paddler is an open-source project. It is released under the Apache-2.0 license.
Yes. paddler is free and open source — you can use, modify and self-host it.
paddler is available under the Apache-2.0 license.
paddler is written mainly in Rust.
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