Serve Thousands of Fine-Tuned LLMs on a Single GPU with LoRAX (Open Source, Apache 2.0)
LoRAX by Predibase is a groundbreaking open-source framework that enables users to serve thousands of fine-tuned large language models (LLMs) on a single GPU, dramatically reducing infrastructure costs without sacrificing speed or performance. With features like dynamic adapter loading, multi-adapter batching, quantization, and OpenAI-compatible APIs, LoRAX supports simultaneous, production-scale inference for diverse model variants. It’s fully production-ready, shipping with Docker images, Helm charts, and comprehensive observability, and is licensed under Apache 2.0 for commercial use
1. LoRAX: Multi-Adapter LLM Serving Framework
Serve 1000s of Fine-Tuned LLMs on a Single GPU!
(100% open-source, Apache 2.0 😎)
LoRAX by Predibase enables users to serve thousands of fine-tuned models on one GPU, cutting costs without sacrificing speed or performance.
Here's what make it a game-changer:
🔗 OpenAI-compatible API 👥 Merge multiple adapters on the fly 🏋️♀️ Handle requests for different adapters simultaneously ⚡ Dynamically load adapters from HF, Predibase, or local files 🧠 Enhance performance with quantization & custom CUDA kernels 🚢 Production-ready with Docker, Helm charts, & OpenTelemetry
Here's the best part, it's 100% open-source (Apache 2.0 license 😎).