Top 12 TensorRT-LLM alternatives

Comparable LLM Inference AI agents, ranked by popularity. Not sold on TensorRT-LLM? These are the closest options worth a look.

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TensorRT-LLM

TensorRT-LLM is an open-source library by NVIDIA designed to optimize and accelerate inference for large language models (LLMs) using TensorRT. It provides tools for efficient model deployment, including quantization, kernel optimization, and batch processing. The framework supports popular LLM architectures and is tailored for high-performance inference on NVIDIA GPUs.

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Best TensorRT-LLM alternatives

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LLM Inference

exllama is a highly optimized implementation of the Llama language model for inference, specifically designed to work ef...

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LLM Inference

FastChat is an open-source platform for serving and interacting with multiple large language models (LLMs) efficiently. ...

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LLM Inference

Infinity is a Python-based tool designed for efficient text-embedding inference, enabling users to generate embeddings l...

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LLM Inference

Liger-Kernel provides optimized Triton kernels for efficient large language model (LLM) training, focusing on performanc...

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LLM Inference

LMDeploy is a high-performance inference and serving framework designed for large language models (LLMs) and vision-lang...

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LLM Inference

MInference is an open-source tool designed to optimize the inference process of long-context large language models (LLMs...

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LLM Inference

mistral.rs is a Rust-based implementation for efficient inference of Mistral language models, focusing on high performan...

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LLM Inference

prima.cpp is a distributed implementation of llama.cpp designed to enable efficient inference of large language models (...

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LLM Inference

SGLang is an open-source framework designed for efficient serving of large language models (LLMs) and vision language mo...

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