How vLLM Implements Decoding Algorithms | HackerNoon
Briefly

from Hackernoon1 year ago
vLLM introduces an innovative end-to-end architecture designed to enhance the performance of large language models (LLMs) during inference, focusing on efficient memory management and speed.
Hackernoonhttps://hackernoon.com/how-vllm-implements-decoding-algorithms
The development of specialized GPU kernels for PagedAttention underscores the importance of optimizing memory access patterns to improve the efficiency of transformer-based models.
Hackernoonhttps://hackernoon.com/how-vllm-implements-decoding-algorithms
Read at Hackernoon
#llm-serving #pagedattention #memory-management #gpu-optimization #model-inference
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