vLLM
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vLLM news and updates covering an open-source engine for serving large language models at high throughput. Readers can learn about paged attention and KV cache management, continuous batching, prefill and decode disaggregation, quantization support, and deployment across GPU fleets.
Deploying Large Language Models: vLLM and QuantizationMixtral of expertsEmpowering Inference with vLLM and TGI: Mastering Cutting-Edge Language ModelsThe Real AI Challenge is Cloud, not Code!LLM Model Storage with NFS: Download Once, Infer EverywhereSelf-Hosting Your First LLMAdvancing low‑bit quantization for LLMs: AutoRound x LLM CompressorDocker Model Runner Adds vLLM Support on macOSDocker Model Runner + vLLM: High-Throughput InferenceIntroduction to torch.compile and How It Works with vLLM
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