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!Docker Model Runner + vLLM: High-Throughput InferenceLLM Model Storage with NFS: Download Once, Infer EverywhereAdvancing low‑bit quantization for LLMs: AutoRound x LLM CompressorHow to Choose the Right GPU for vLLM InferenceGranite Switch 4.1: Chat, Decisions, and Speech from One EndpointAchieving near-zero-downtime scaling in Elastic Expert Parallelism
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