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#TensorRT

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The Machine Learning Engineer

LLMOps: Como usar Nvidia TensorRT SDK para Inferencia en GPU

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Optimiza la inferencia en GPU con Nvidia TensorRT SDK, convirtiendo modelos y comparando tiempos de ejecución en diferentes precisiones de datos.
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1 Lesons
40 minutes
On-Demand
Free-Video
The Machine Learning Engineer

LLMOps: Comparación de Openvino, ONNX, TensorRT y Pytorch para Inferencia

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Compara el rendimiento de inferencia de modelos convertidos a ONNX, OpenVino y TensorRT frente a PyTorch nativo en GPU y CPU.
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1 Lesons
39 minutes
On-Demand
Free-Video
Nvidia

NVIDIA Jetson: Enabling AI-Powered Autonomous Machines at Scale

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Explore NVIDIA Jetson's AI platform for edge computing in robotics, healthcare, and more. Learn about hardware, software stack, ecosystem, and real-world applications.
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47 Lesons
54 minutes
On-Demand
Free-Video
Nvidia

Embedded Deep Learning with NVIDIA Jetson

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Learn to develop AI and computer vision applications using NVIDIA's deep learning tools. Explore neural network primitives, real-time solutions, and training workflows for intelligent robots and drones on the Jetson Embedded Platform.
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28 Lesons
1 hour
On-Demand
Free-Video
Nvidia

Jetson Xavier NX Developer Kit - Edge AI Supercomputer Features and Applications

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Explore Jetson Xavier NX Developer Kit's edge AI capabilities, software features, and deployment strategies for advanced applications in video analytics, perception, and natural language processing.
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28 Lesons
58 minutes
On-Demand
Free-Video
Nvidia

Streamline Deep Learning for Video Analytics with DeepStream SDK 2.0

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Explore AI-based video analytics using DeepStream SDK 2.0 for Tesla, transforming video into insights for smart cities with a modular plugin architecture and scalable framework for multi-stream processing and application development.
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38 Lesons
57 minutes
On-Demand
Free-Video
Nvidia

Inference and Quantization for AI - Session 3

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Explore quantized inference, TensorRT 5, and TensorFlow integration for AI model optimization. Learn about NVIDIA's inference server and techniques to improve model efficiency and performance.
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33 Lesons
41 minutes
On-Demand
Free-Video
Software Engineering Courses - SE Courses

Doubling Stable Diffusion Inference Speed with RTX Acceleration and TensorRT - A Comprehensive Guide

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Comprehensive guide on boosting Stable Diffusion performance with RTX Acceleration TensorRT, covering installation, optimization, and troubleshooting for various models and extensions.
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32 Lesons
42 minutes
On-Demand
Free-Video
The Machine Learning Engineer

LLMOps: Comparison of OpenVino, ONNX, TensorRT, and PyTorch Inference

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Explore model conversion to ONNX, OpenVino, and Tensor-RT formats for optimized CPU and GPU inference, comparing performance against native PyTorch.
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1 Lesons
40 minutes
On-Demand
Free-Video
The Machine Learning Engineer

LLMOps: Using Nvidia TensorRT SDK for GPU Inference

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Optimize GPU inference using Nvidia TensorRT SDK. Convert models, compare throughput, and explore batch sizes, data precision, and runtime options for enhanced performance.
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1 Lesons
34 minutes
On-Demand
Free-Video
NDC Conferences

Building Qrio, a Bot That Plays Videos for My Toddler

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Discover how to build an AI bot that interacts with toddlers, recognizes toys, and plays relevant YouTube Kids videos. Learn about object detection, text-to-speech, animation, and automation techniques.
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1 Lesons
43 minutes
On-Demand
Free-Video
ChemicalQDevice

Speed-ups for State-of-the-Art Generative AI Drug Discovery Applications

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Explore cutting-edge generative AI techniques for drug discovery, including VAEs, Hugging Face pipelines, and LLM comparisons. Learn to accelerate inference times using C++ and cloud platforms.
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1 Lesons
57 minutes
On-Demand
Free-Video
Applied Singularity

Deploying Deep Learning Models for Inference at Production Scale

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Optimize and deploy AI models at scale using NVIDIA TensorRT and Triton Inference Server. Learn production-ready techniques for efficient inference across various platforms and infrastructures.
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1 Lesons
1 hour 40 minutes
On-Demand
Free-Video
MIT HAN Lab

EfficientML.ai - Quantization Part II - Lecture 6

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Explore advanced quantization techniques for efficient machine learning, including post-training and quantization-aware training methods.
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1 Lesons
1 hour 9 minutes
On-Demand
Free-Video
MIT HAN Lab

EfficientML.ai: Quantization Part II - Lecture 6

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Explore advanced quantization techniques for efficient machine learning, covering post-training and quantization-aware training methods to optimize model performance.
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1 Lesons
1 hour 9 minutes
On-Demand
Free-Video