NVIDIA has achieved breakthrough performance with its H100 Tensor Core GPUs and TensorRT-LLM software on the Mixtral 8x7B model, which utilizes a Mixture-of-Experts architecture. The optimization of query response times and throughput is crucial in large-scale language model deployments, with TensorRT-LLM supporting in-flight batching to enhance performance. The use of FP8 precision and streaming mode allows for significant performance gains and high throughput. In latency-unconstrained scenarios, the H100 GPUs demonstrate remarkable throughput capabilities. TensorRT-LLM is an open-source library designed for optimizing language model inference, providing performance optimizations for popular models. NVIDIA continues to innovate with products based on the Blackwell architecture expected later this year, aiming to deliver significant speedups for real-time language model inference. For more information, visit the NVIDIA Technical Blog.
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NVIDIA H100 GPUs and TensorRT-LLM Achieve Breakthrough Performance #AIacceleration
