SKU/Artículo: AMZ-B0G7VFYSBH
REAL-TIME AI WITH ONNX RUNTIME: HIGH-PERFORMANCE INFERENCE ENGINEERING FOR GAMES AND XR
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Kindle
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Fuera de stock
Fuera de stock
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0.15 kg
0.15 kg
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Sí
Sí
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Nuevo
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Amazon
Amazon
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USA
USA
Sobre este producto
- REAL-TIME AI WITH ONNX RUNTIME: HIGH-PERFORMANCE INFERENCE ENGINEERING FOR GAMES AND XRAbout the TechnologyReal-time AI is essential in modern gaming and interactive experiences, with ONNX Runtime being the leading solution for AI inference. It allows developers to efficiently deploy neural networks across various platforms, including PCs, consoles, and XR devices, while ensuring performance through hardware acceleration and memory control.This book emphasizes the key aspects of production for low latency AI systems, focusing on achieving predictable performance and delivering AI that operates at 60–90 FPS in actual game engines. Authored by an engineer experienced in transitioning research prototypes to production software, "Real-Time AI with ONNX Runtime" addresses developers' common concerns regarding model speed. The content revolves around practical AI systems programming, including topics like GPU acceleration, zero-copy memory, threading, and execution providers relevant to professional game and XR environments, with each chapter reflecting real-world production challenges.Summary of the BookThis book serves as a comprehensive guide to machine learning inference engineering specifically for games and XR, focusing on deploying, optimizing, and integrating AI into real-time systems rather than training models. It guides users on converting models from PyTorch or TensorFlow into high-performance AI using ONNX Runtime, suitable for NPC perception, computer vision, generative effects, and intelligent behaviors while maintaining frame rate efficiency. The content emphasizes the transition from theoretical implementation in Python to practical application in production environments.What’s InsideInside this book, you’ll learn how to:Build real time AI inference pipelines using ONNX RuntimeDeploy AI for games optimization with strict latency budgetsIntegrate ONNX Runtime C++ into performance-critical systemsImplement GPU accelerated AI inference using TensorRT, DirectML, and NPUsEliminate frame hitches with zero copy AI inferenceOptimize data layouts, memory arenas, and threading modelsDeploy AI for Unity and AI for Unreal Engine safely and efficientlyRun real time computer vision in games without stalling the render loopDesign scalable AI deployment for game engines, VR, and XR hardware About the ReaderThis book is intended for game developers creating intelligent NPCs and real-time behaviors, graphics and engine programmers working at a hardware level, machine learning engineers transitioning to AI deployment in Unity or Unreal, developers in XR and VR focusing on ultra-low latency systems, professionals aiming to excel in AI inference for game engines, and engineers dedicated to enhancing AI performance in VR and XR.This book is designed for those focused on performance in AI systems, emphasizing the importance of frame time and memory management. It highlights that in real-time applications, performance affects user perception, where even small delays can impact user experience. The text offers insights on creating AI that maintains responsiveness and immersion across various platforms.Mastering AI inference engineering is crucial for deploying low latency AI systems and creating production-ready intelligence for games and XR. This book aims to transform your approach to AI beyond limitations faced in notebooks, addressing issues like frame drops and memory spikes.Buy now and learn how to make AI run at real-time speed—everywhere.
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