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These designs may also be now accelerated with TensorRT-LLM. TensorRT-LLM compiles the versions into TensorRT engines, from product levels into optimized CUDA kernels using pattern matching and fusion, To optimize inference general performance. These engines are then executed with the TensorRT-LLM runtime, which includes quite a few optimizations:
This is read more often enabled through a multitier cache system that manages adapters across GPU and host memory, accelerated to simultaneously serve various use cases with Exclusive GPU kernels.
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