LLM Inference Server
3.8k 2026-04-18

predibase/lorax

A multi-LoRA inference server designed to efficiently serve thousands of fine-tuned Large Language Models on a single GPU, drastically cutting serving costs while maintaining high throughput and low latency.

Core Features

Dynamic Adapter Loading for just-in-time LoRA adapter integration from various sources.
Heterogeneous Continuous Batching to optimize throughput for diverse adapter requests.
Advanced Inference Optimizations including tensor parallelism, paged attention, and quantization.
Production-Ready Deployment with Docker, Kubernetes, Prometheus, and OpenAI-compatible API.
Apache 2.0 License for free commercial use.

Detailed Introduction

LoRAX (LoRA eXchange) is an innovative framework that addresses the high cost and complexity of serving numerous fine-tuned Large Language Models (LLMs). By enabling the deployment of thousands of LoRA adapters on a single GPU, LoRAX significantly reduces operational expenses. It achieves this efficiency through dynamic adapter loading, intelligent batching, and advanced inference optimizations, ensuring that performance metrics like throughput and latency remain uncompromised even with a large number of concurrent adapters. This makes LoRAX an ideal solution for organizations looking to scale their LLM deployments cost-effectively.

OSS Alternative

Explore the best open source alternatives to commercial software.

© 2026 OSS Alternative. hotgithub.com - All rights reserved.