Tag: vLLM
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vLLM vs TensorRT-LLM vs Ray Serve: A Stack, Not a Showdown
Two of them run your model. One of them runs a fleet of the other two. Here’s how the layering actually works — and how to choose. I keep seeing this comparison framed as a three-way cage match — pick vLLM or TensorRT-LLM or Ray Serve, may the best framework win. And every time, I…
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Supercharging Your Inference of Large Language Models with vLLM (part-1)
As the demand for large language models (LLMs) continues to rise, optimizing inference performance becomes crucial. vLLM is an innovative library designed to enhance the efficiency and speed of LLM inference and serving. This blog post explains a high level view of vLLM’s capabilities, its unique features, and how it compares to similar solutions in…