SqueezeBits

In this blog series, we thoroughly evaluate Intel's AI accelerator, the Gaudi series, focusing on its performance, features, and usability.

This article provides a comparative analysis of different parallelism strategies on vLLM and TensorRT-LLM frameworks.

In this blog series, we thoroughly evaluate Intel's AI accelerator, the Gaudi series, focusing on its performance, features, and usability.

This article provides a comparative analysis of the effects of KV cache quantization on vLLM and TensorRT-LLM frameworks.

This article provides a comparative analysis of the effects of weight-activation quantization on vLLM and TensorRT-LLM frameworks.

This article provides a comparative analysis of the effects of weight-only quantization on vLLM and TensorRT-LLM frameworks.

This article provides a comparative analysis of vLLM and TensorRT-LLM frameworks, focusing on performance with fixed and dynamic datasets.

This article provides a comparative analysis of schedulers in vLLM and TensorRT-LLM frameworks.

This article provides a comparative analysis of vLLM and TensorRT-LLM frameworks with various sampling methods.

This article provides a comparative analysis of vLLM and TensorRT-LLM frameworks, focusing on batching configurations and thoroughly examining the effects of maximum batch size and maximum number of tokens.

This article provides a comparative analysis of vLLM and TensorRT-LLM frameworks for serving LLMs, evaluating their performance based on key metrics like throughput, TTFT, and TPOT to offer insights for practitioners in optimizing LLM deployment strategies.