sgl-project/rbg
A workload for deploying LLM inference services on Kubernetes
- Stars
- 309
- Forks
- 84
- Open issues
- 49
- Last push
- 2d ago
About rbg
rbg is a free, open-source AI inference tool by sgl-project, written mainly in Go. A workload for deploying LLM inference services on Kubernetes. It has 309 GitHub stars and 84 forks, and was last updated 2d ago. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- Go
- Stars
- 309
- Last update
- 2d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
Similar free tools
TensorRT-LLM15k stars · TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT
BentoML8.9k stars · The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
OpenLLM13k stars · Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
vllm95k stars · A high-throughput and memory-efficient inference and serving engine for LLMs
distributed-llama3.1k stars · Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.
sglang38k stars · SGLang is a high-performance serving framework for large language models and multimodal models.
rbg FAQ
Is rbg free?
Yes. rbg is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does rbg run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does rbg need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is rbg still maintained?
Yes. It was last updated 2d ago and has 49 open issues on GitHub.
What are alternatives to rbg?
Similar free, open-source tools include TensorRT-LLM, BentoML, OpenLLM, vllm.