Search Results for "tensorrt"
NVIDIA Enhances TensorRT-LLM with KV Cache Optimization Features
NVIDIA introduces new KV cache optimizations in TensorRT-LLM, enhancing performance and efficiency for large language models on GPUs by managing memory and computational resources.
Microsoft and NVIDIA Enhance Llama Model Performance on Azure AI Foundry
Microsoft and NVIDIA collaborate to significantly boost Meta Llama model performance on Azure AI Foundry using NVIDIA TensorRT-LLM optimizations, enhancing throughput, reducing latency, and improving cost efficiency.
NVIDIA TensorRT Revolutionizes Adobe Firefly's Video Generation
NVIDIA TensorRT optimizes Adobe Firefly, cutting latency by 60% and reducing costs by 40%, enhancing video generation efficiency with FP8 quantization on Hopper GPUs.
NVIDIA's FP4 Image Generation Boosts RTX 50 Series GPU Performance
NVIDIA's latest TensorRT update introduces FP4 image generation for RTX 50 series GPUs, enhancing AI model performance and efficiency. Explore the advancements in generative AI technology.
NVIDIA Unveils TensorRT for RTX: Enhanced AI Inference on Windows 11
NVIDIA introduces TensorRT for RTX, an optimized AI inference library for Windows 11, enhancing AI experiences across creativity, gaming, and productivity apps.
NVIDIA Unveils TensorRT for RTX to Boost AI Application Performance
NVIDIA introduces TensorRT for RTX, a new SDK aimed at enhancing AI application performance on NVIDIA RTX GPUs, supporting both C++ and Python integrations for Windows and Linux.
NVIDIA TensorRT Enhances Stable Diffusion 3.5 on RTX GPUs
NVIDIA's TensorRT SDK significantly boosts the performance of Stable Diffusion 3.5, reducing VRAM requirements by 40% and doubling efficiency on RTX GPUs.
Optimizing LLM Inference with TensorRT: A Comprehensive Guide
Explore how TensorRT-LLM enhances large language model inference by optimizing performance through benchmarking and tuning, offering developers a robust toolset for efficient deployment.
FLUX.1 Kontext Revolutionizes Image Editing with Low-Precision Quantization
Black Forest Labs introduces FLUX.1 Kontext, optimized with NVIDIA's TensorRT for enhanced image editing performance using low-precision quantization on RTX GPUs.
NVIDIA RTX AI Boosts Image Editing with FLUX.1 Kontext Release
NVIDIA RTX AI and TensorRT enhance Black Forest Labs' FLUX.1 Kontext model, streamlining image generation and editing with faster performance and lower VRAM requirements.
Enhancing AI Model Efficiency: Torch-TensorRT Speeds Up PyTorch Inference
Discover how Torch-TensorRT optimizes PyTorch models for NVIDIA GPUs, doubling inference speed for diffusion models with minimal code changes.
Optimizing Large Language Models with NVIDIA's TensorRT: Pruning and Distillation Explained
Explore how NVIDIA's TensorRT Model Optimizer utilizes pruning and distillation to enhance large language models, making them more efficient and cost-effective.