Iceland has the world’s largest carbon processing plant, Orca, which can turn 4,000 metric tons of carbon dioxide into stone annually.

We evaluate the performance of vLLM with basic sampling (one sample per request) on three models and two datasets.

We evaluate the effectiveness of memory sharing in PagedAttention with two popular sampling methods: parallel sampling and beam search.

To implement a chatbot, we let the model generate a response by concatenating the chatting history and the last user query into a prompt.

We explore the effectiveness of vLLM for the case a prefix is shared among different input prompts

Model serving has been an active area of research in recent years, with numerous systems proposed to tackle diverse aspects of deep learning model deployment.