LLMFreeOpen Source

APHRODITE ENGINE

High-throughput LLM inference engine

AGPL-3.0

ABOUT

Serving large language models efficiently requires specialized inference engines that can handle high request volumes, manage GPU memory, and support hardware diversity. Most inference solutions are either tied to specific cloud providers or lack broad hardware support. Aphrodite Engine solves this as a high-throughput inference engine that supports CUDA (NVIDIA), ROCm (AMD), Intel XPU, and AWS Inferentia hardware. It implements continuous batching, PagedAttention, tensor parallelism, and speculative decoding to maximize throughput. It also supports LoRA adapters for serving fine-tuned variants without full model reloads. For teams deploying open-source LLMs in production, Aphrodite Engine provides the performance and hardware flexibility needed to serve models cost-effectively across diverse infrastructure.

INSTALL

pip install -U aphrodite-engine

INTEGRATION GUIDE

1. Serve open-source LLMs in production with high throughput and low latency across GPU hardware 2. Deploy fine-tuned model variants efficiently using LoRA adapter support without full reloads 3. Run inference cost-effectively by leveraging AMD ROCm GPUs or AWS Inferentia as alternatives to NVIDIA 4. Implement speculative decoding and continuous batching to maximize inference throughput 5. Self-host LLM inference for privacy, compliance, and cost control in enterprise environments

APHRODITE ENGINE

ABOUT

INTEGRATION GUIDE

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