tensorrt
Enhanced AI Performance with NVIDIA TensorRT 10.0's Weight-Stripped Engines
NVIDIA introduces TensorRT 10.0 with weight-stripped engines, offering >95% compression for AI apps.
NVIDIA H100 GPUs and TensorRT-LLM Achieve Breakthrough Performance for Mixtral 8x7B
NVIDIA's H100 Tensor Core GPUs and TensorRT-LLM software demonstrate record-breaking performance for the Mixtral 8x7B model, leveraging FP8 precision.
NVIDIA TensorRT-LLM Boosts Hebrew LLM Performance
NVIDIA's TensorRT-LLM and Triton Inference Server optimize performance for Hebrew large language models, overcoming unique linguistic challenges.
NVIDIA Enhances TensorRT Model Optimizer v0.15 with Improved Inference Performance
NVIDIA releases TensorRT Model Optimizer v0.15, offering enhanced inference performance through new features like cache diffusion and expanded AI model support.
NVIDIA Enhances Llama 3.1 405B Performance with TensorRT Model Optimizer
NVIDIA's TensorRT Model Optimizer significantly boosts performance of Meta's Llama 3.1 405B large language model on H200 GPUs.
Enhancing Large Language Models with NVIDIA Triton and TensorRT-LLM on Kubernetes
Explore NVIDIA's methodology for optimizing large language models using Triton and TensorRT-LLM, while deploying and scaling these models efficiently in a Kubernetes environment.
NVIDIA's TensorRT-LLM MultiShot Enhances AllReduce Performance with NVSwitch
NVIDIA introduces TensorRT-LLM MultiShot to improve multi-GPU communication efficiency, achieving up to 3x faster AllReduce operations by leveraging NVSwitch technology.
NVIDIA's TensorRT-LLM Enhances AI Efficiency with KV Cache Early Reuse
NVIDIA introduces KV cache early reuse in TensorRT-LLM, significantly speeding up inference times and optimizing memory usage for AI models.
NVIDIA's TensorRT-LLM Multiblock Attention Enhances AI Inference on HGX H200
NVIDIA's TensorRT-LLM introduces multiblock attention, significantly boosting AI inference throughput by up to 3.5x on the HGX H200, tackling challenges of long-sequence lengths.
NVIDIA NIM Revolutionizes AI Model Deployment with Optimized Microservices
NVIDIA NIM streamlines the deployment of fine-tuned AI models, offering performance-optimized microservices for seamless inference, enhancing enterprise AI applications.
NVIDIA TensorRT-LLM Enhances Encoder-Decoder Models with In-Flight Batching
NVIDIA's TensorRT-LLM now supports encoder-decoder models with in-flight batching, offering optimized inference for AI applications. Discover the enhancements for generative AI on NVIDIA GPUs.
NVIDIA Enhances Llama 3.3 70B Model Performance with TensorRT-LLM
Discover how NVIDIA's TensorRT-LLM boosts Llama 3.3 70B model inference throughput by 3x using advanced speculative decoding techniques.
StreamingLLM Breakthrough: Handling Over 4 Million Tokens with 22.2x Inference Speedup
SwiftInfer, leveraging StreamingLLM's groundbreaking technology, significantly enhances large language model inference, enabling efficient handling of over 4 million tokens in multi-round conversations with a 22.2x speedup.