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vLLM in Practice: A Developer’s Guide to High-Performance Inference, Scalable Serving, and Efficient Large Language Model Deployment
Independently Published
vLLM and High-Performance Inference: Memory Optimization, Parallel Execution, Token Streaming, Scalable Model Serving
VLLM Deployment Engineering: Production Serving, Optimization, and Scalable Model Operations
High-Performance Inference Serving: Batching, Quantization, and Low-Latency Model Deployment.
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