VLLM
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LLM Inference Acceleration: Implementation Guide with vLLM and TensorRT-LLM
A comprehensive guide to implementing vLLM and TensorRT-LLM to overcome KV cache management and kernel optimization bottlenecks in LLM inference. Includes Python code and business application strategies.
LLM Inference Optimization: Practical Techniques to Dramatically Improve Latency and Cost
Comprehensive guide to solving LLM production challenges with quantization, speculative decoding, vLLM, and other cutting-edge techniques to dramatically reduce inference costs and latency.