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Inference Frameworks

Production-ready frameworks for LLM deployment

Production LLM deployment requires more than just loading a model. Inference frameworks like vLLM, TensorRT-LLM, and Text Generation Inference bundle optimizations into easy-to-deploy packages. They handle continuous batching, quantization, distributed inference, and API serving out of the box, letting you focus on your application instead of infrastructure.

4 Techniques

vLLM

High-throughput LLM serving with PagedAttention. De-facto standard for production inference.

Speed:10-24x vs HuggingFace Transformers

NVIDIAAMD

TensorRT-LLM

NVIDIA's optimized LLM inference. Maximum performance on NVIDIA hardware.

NVIDIA

llama.cpp

CPU-first inference with GGUF format. Runs anywhere: CPU, NVIDIA, AMD, Apple Silicon.

NVIDIAAMDApple+1

SGLang

Fast serving with RadixAttention for prefix caching. Optimized for structured generation.

NVIDIA